Impact of enterprise digitalization on green innovation performance under the perspective of production and operation.

Introduction: How enterprises should practice digitalization transformation to effectively improve green innovation performance is related to the sustainable development of enterprises and the economy, which is an important issue that needs to be clarified. Methods: This research uses the perspective of production and operation to deconstruct the digitalization of industrial listed enterprises from 2016 to 2020 into six features. A variety of machine learning methods are used, including DBSCAN, CART and other algorithms, to specifically explore the complex impact of enterprise digitalization feature configuration on green innovation performance. Conclusions: (1) The more advanced digitalization transformation the enterprises have, the more possibly the high green innovation performance can be achieved. (2) Digitalization innovation is the digitalization element with the strongest influence ability on green innovation performance. (3) As the advancement of digitalization transformation, enterprises should also focus on digitalization innovation input and digitalization operation output, otherwise they should pay attention to digitalization management and digitalization operation output. Discussion: The conclusions of this research will help enterprises understand their digitalization competitiveness and how to practice digitalization transformation to enhance green innovation performance, and also help the government to formulate policies to promote the development of green innovation in the digital economy era.

Response of soil microbial communities and rice yield to nitrogen reduction with green manure application in karst paddy areas.

Fertilizer application practices are one of the major challenges facing agroecology. The agrobenefits of combined application of green manure and chemical fertilizers, and the potential of green manure to replace chemical fertilizers are now well documented. However, little is known about the impact of fertilization practices on microbial communities and tice yield. In this study, the diversity of bacterial and fungal communities, symbiotic networks and their relationship with soil function were analyzed in five fertilization treatments (N: 100% nitrogen fertilizer alone; M: green manure alone; MN60: green manure couple with 60% nitrogen fertilizer, MN80: green manure couple with 80% nitrogen fertilizer; and MN100: green manure couple with 100% nitrogen fertilizer). First, early rice yield was significantly higher by 12.6% in MN100 treatment in 2021 compared with N. Secondly, soil bacterial diversity showed an increasing trend with increasing N fertilizer application after green manure input, however, the opposite was true for fungal diversity. Microbial interaction analysis showed that different fertilizer applications changed soil microbial network complexity and fertilizer-induced changes in soil microbial interactions were closely related to soil environmental changes. Random forest models further predicted the importance of soil environment, microorganisms and rice yield. Overall, nitrogen fertilizer green manure altered rice yield due to its effects on soil environment and microbial communities. In the case of combined green manure and N fertilizer application, bacteria and fungi showed different responses to fertilization method, and the full amount of N fertilizer in combination with green manure reduced the complexity of soil microbial network. In contrast, for more ecologically sensitive karst areas, we recommend fertilization practices with reduced N by 20-40% for rice production. Graphical Abstract.

Comparison of efficacy between sequential ventilation and conventional invasive mechanical ventilation in the treatment of pulmonary hypertension complicated with respiratory failure.

OBJECTIVE: Pulmonary hypertension (PAH) is a serious progressive and fatal pulmonary disease characterized by elevated pulmonary artery pressure. Mechanical sequential ventilation has been gradually applied in the treatment of patients with PAH complicated with RF, which can effectively reduce the incidence of VAP and better promote the recovery of respiratory function. This study is aimed to determine the efficacy of sequential ventilation and conventional invasive mechanical ventilation in the treatment of pulmonary hypertension (PAH) complicated with respiratory failure (RF). METHODS: A total of 198 patients with both PAH and RF admitted to our hospital were enrolled. Among them, 102 patients were treated with sequential ventilation as a study group (stu group), and 96 patients were treated with conventional invasive mechanical ventilation as a control group (con group). Then the two groups were compared in efficacy and related indexes before and after treatment. RESULTS: The stu group experienced significantly shorter invasive ventilation time, total mechanical ventilation time, and hospitalization time than the con group (all P<0.05), and showed a significantly lower complication rate than the con group (P<0.05). The reintubation rate, weaning failure rate, and ventilator-associated pneumonia (VAP) rate of the stu group were all significantly lower than those of the con group (all P<0.05), and the stu group showed significantly higher pondus hydrogenii (pH) and arterial partial pressure of oxygen (PaO2) and significantly lower arterial carbondioxide partial pressure (PaCO2) than the con group after treatment (all P<0.05). Additionally, after treatment, the level of brain natriuretic peptide (BNP) and pulmonary artery pressure in both groups declined significantly (P<0.05), and the decline of them in the stu group was more significant than that in the con group (P<0.05). Moreover, after treatment, endothelin (ET) and angiotensin II (Ang II) in both groups declined significantly, and the decline of them in the stu group was also more significant than that in the con group (P<0.05). CONCLUSION: Compared with conventional invasive mechanical ventilation, sequential ventilation can effectively minimize the treatment time of patients with PAH complicated with RF, reduce the incidences of adverse events and complications in them, and significantly improve the blood gas analysis indexes and BNP in them, so it is worthy of clinical promotion.

Correlation of GLUT1 and GLUT4 with prognosis of patients with hypothyroidism and cardiac insufficiency.

OBJECTIVE: Hypothyroidism is a disease with symptoms of collective metabolic dysfunction and systemic dysfunction due to the lack of serum thyroid hormones caused by various reasons. GLUT4 is over-expressed in monocytes of patients with hyperthyroidism, there are also studies suggesting that there is a certain regulatory relationship of GLUT1 and GLUT4 with thyroid function. This study is aimed to explore the correlation of glucose transporter 1 (GLUT1) and GLUT4 with prognosis of patients with hypothyroidism and cardiac insufficiency. METHODS: From July 2016 to October 2019, totally 116 patients with cardiac insufficiency complicated with subclinical hypothyroidism treated in our hospital were enrolled in the research group (RG), and 110 patients with cardiac insufficiency but normal thyroid function were enrolled in the control group (CG). Serum GLUT1, GLUT4, free triiodothyronine (FT3), free thyroxine (FT4) and thyroid stimulating hormone (TSH) were detected, and the correlation between them was analyzed. Then the predictive value and risk factors of GLUT1 and GLUT4 for poor prognosis of hypothyroidism complicated with cardiac insufficiency were analyzed. RESULTS: The expression levels of GLUT1, GLUT4, FT3 and FT4 in serum of patients in RG was notably lower than that in CG, and TSH expression was remarkably higher than those in CG (P<0.05). In RG, GLUT1 and GLUT4 expression levels were positively correlated with FT3 and FT4 expression (P<0.05), but negatively correlated with TSH expression (P<0.05). ROC of GLUT1 and GLUT4 in RG in predicting poor prognosis of patients was over 0.8. Low expression of GLUT1 and GLUT4 and diabetes were independent risk factors for poor prognosis in patients with hypothyroidism complicated with cardiac insufficiency. CONCLUSION: GLUT1 and GLUT4 expression levels were significantly decreased in serum of patients with hypothyroidism complicated with cardiac insufficiency. Both of them have high predictive value for poor prognosis of patients, and are independent risk factors for poor prognosis of patients.