Evolution of household carbon emissions and their drivers from both income and consumption perspectives in China during 2010-2017.

Household inputs and consumption play important roles in driving carbon emissions in China. However, existing studies have mainly studied consumption-based household carbon emissions in specific years to highlight consumption guidance and management, and little attention has been given to income-based accounting and policy-making focused on primary input behaviors and product allocation behaviors. In the quest for more coordinated and efficient mitigation strategies, we applied input-output analysis (IOA) combined with the biproportional scaling method (RAS) to obtain both income- and consumption-based annual accounting of rural and urban household carbon emissions from 2010 to 2017 and then used structural decomposition analysis (SDA) to determine key driving factors and sectors. Our results revealed that the proportions of income-based household emissions in gross emissions were higher than that of consumption-based household emissions. In terms of driving factors, per capita income/consumption contributed the largest increase in household emissions for most of the period, and population changes also showed a weak positive effect. However, intermediate input/output structure and carbon emission intensity were the main offsetting factors for household emissions. Compared with the consumption-based results, the income-based results can identify some new critical sectors that lead to household emission changes. Furthermore, the discrepant results for rural and urban household carbon emissions from both income and consumption perspectives suggest that differentiated measures of rural and urban households in key sectors are necessary. Finally, we propose industrial chain adjustment strategies and household input and consumption behavior recommendations in the context of urbanization.

Vacuum sealing drainage combined with free anterolateral femoral skin flap grafting in 16 cases of pediatric soft tissue damage to the foot and ankle.

BACKGROUND: To investigate the clinical experience and discuss the use of vacuum sealing drainage (VSD) combined with free anterolateral femoral flap grafting to treat pediatric foot and ankle soft tissue traumas. METHODS: This was a retrospective analysis of 16 pediatric patients with foot and ankle soft tissue traumas treated with free anterolateral femoral flap grafting from January 2015 to January 2018. After successful debridement and VSD, the clinical efficacy of the procedure was evaluated by observing parameters such as the color, shape, and texture of the flap on the receptor site. RESULTS: All patients were followed up for 23-32 months after surgery. Of the 16 patients, six had a flat flap appearance, while the remaining ten patients required flap repair surgery 6-9 months after the procedure. Eight of these ten patients had a satisfactory repair, and the remaining two patients had further repair surgery 9-10 months after the flap grafting. The postoperative results of all patients were satisfactory; no local infection, good flap survival, soft texture, glossy elasticity, and flat appearance. Statistical results showed only one case of local necrosis at the distal end of the flap, and the wound healed at stage II after redebridement and dressing change. CONCLUSIONS: VSD combined with free anterolateral femoral flap grafting is an easy and reliable operation with a good prognosis and excellent clinical utility and feasibility for treating pediatric patients with foot and ankle soft tissue traumas.

Author Correction: Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic.

A Correction to this paper has been published: https://doi.org/10.1038/s41467-020-20254-5.

Application of vocal organ correction combined with language training in the rehabilitation of children with cerebral palsy and language disorder.

BACKGROUND: To explore the effect of vocal organ correction combined with language training on the rehabilitation of children with cerebral palsy (CP) and language disorder. METHODS: A total of 98 children with CP and language disorder were divided into two groups (49 cases in each group) using a random number table: the control group and the test group. The control group was given language training alone, while the test group received vocal organ correction combined with language training. The changes in language function classification, efficacy, and family satisfaction before and after the treatments were compared. RESULTS: A significant difference was identified in language function classification between the two groups before and after treatment (P<0.05). The language function classification of the two groups was also significantly different after treatment (P<0.05), as was the distribution of clinical efficacy between the two groups (P<0.05). The total effective rate for the test group was 91.84%, which was higher than the 73.47% for the control group (P<0.05). Family satisfaction between the two groups differed significantly (P<0.05), and the total satisfaction rate of families in the test group was 87.76%, which was higher than the 69.39% in the control group (P<0.05). CONCLUSIONS: Vocal organ correction combined with language training can improve the language function of children with CP and language disorder, has ideal efficacy, and can also enhance family satisfaction during rehabilitation.

Carbon Monitor, a near-real-time daily dataset of global CO2 emission from fossil fuel and cement production.

We constructed a near-real-time daily CO2 emission dataset, the Carbon Monitor, to monitor the variations in CO2 emissions from fossil fuel combustion and cement production since January 1, 2019, at the national level, with near-global coverage on a daily basis and the potential to be frequently updated. Daily CO2 emissions are estimated from a diverse range of activity data, including the hourly to daily electrical power generation data of 31 countries, monthly production data and production indices of industry processes of 62 countries/regions, and daily mobility data and mobility indices for the ground transportation of 416 cities worldwide. Individual flight location data and monthly data were utilized for aviation and maritime transportation sector estimates. In addition, monthly fuel consumption data corrected for the daily air temperature of 206 countries were used to estimate the emissions from commercial and residential buildings. This Carbon Monitor dataset manifests the dynamic nature of CO2 emissions through daily, weekly and seasonal variations as influenced by workdays and holidays, as well as by the unfolding impacts of the COVID-19 pandemic. The Carbon Monitor near-real-time CO2 emission dataset shows a 8.8% decline in CO2 emissions globally from January 1st to June 30th in 2020 when compared with the same period in 2019 and detects a regrowth of CO2 emissions by late April, which is mainly attributed to the recovery of economic activities in China and a partial easing of lockdowns in other countries. This daily updated CO2 emission dataset could offer a range of opportunities for related scientific research and policy making.

Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic.

The COVID-19 pandemic is impacting human activities, and in turn energy use and carbon dioxide (CO2) emissions. Here we present daily estimates of country-level CO2 emissions for different sectors based on near-real-time activity data. The key result is an abrupt 8.8% decrease in global CO2 emissions (-1551 Mt CO2) in the first half of 2020 compared to the same period in 2019. The magnitude of this decrease is larger than during previous economic downturns or World War II. The timing of emissions decreases corresponds to lockdown measures in each country. By July 1st, the pandemic's effects on global emissions diminished as lockdown restrictions relaxed and some economic activities restarted, especially in China and several European countries, but substantial differences persist between countries, with continuing emission declines in the U.S. where coronavirus cases are still increasing substantially.

Sharing tableware reduces waste generation, emissions and water consumption in China's takeaway packaging waste dilemma.

China has a rapidly growing online food delivery and takeaway market, serving 406 million customers with 10.0 billion orders and generating 323 kilotonnes of tableware and packaging waste in 2018. Here we use a top-down approach with city-level takeaway order data to explore the packaging waste and life-cycle environmental impacts of the takeaway industry in China. The ten most wasteful cities, with just 7% of the population, in terms of per capita waste generation, were responsible for 30% of the country's takeaway waste, 27-34% of the country's pollutant emissions and 30% of the country's water consumption. We defined one paper substitution and two sharing tableware scenarios to simulate the environmental mitigation potentials. The results of the scenario simulations show that sharing tableware could reduce waste generation by up to 92%, and environmental emissions and water consumption by more than two-thirds. Such a mechanism provides a potential solution to address the food packaging waste dilemma and a new strategy for promoting sustainable and zero-waste lifestyles.

Consumption-based greenhouse gas emissions accounting with capital stock change highlights dynamics of fast-developing countries.

Traditional consumption-based greenhouse gas emissions accounting attributed the gap between consumption-based and production-based emissions to international trade. Yet few attempts have analyzed the temporal deviation between current emissions and future consumption, which can be explained through changes in capital stock. Here we develop a dynamic model to incorporate capital stock change in consumption-based accounting. The new model is applied using global data for 1995-2009. Our results show that global emissions embodied in consumption determined by the new model are smaller than those obtained from the traditional model. The emissions embodied in global capital stock increased steadily during the period. However, capital plays very different roles in shaping consumption-based emissions for economies with different development characteristics. As a result, the dynamic model yields similar consumption-based emissions estimation for many developed countries comparing with the traditional model, but it highlights the dynamics of fast-developing countries.

Downregulation of FBP1 Promotes Tumor Metastasis and Indicates Poor Prognosis in Gastric Cancer via Regulating Epithelial-Mesenchymal Transition.

BACKGROUND: Recent studies indicated that some glycolytic enzymes are complicated, multifaceted proteins rather than simple components of the glycolytic pathway. FBP1 plays a vital role in glucose metabolism, but its role in gastric cancer tumorigenesis and metastasis has not been fully understood. METHODS: The prognostic value of FBP1 was first studied in The Cancer Genome Atlas (TCGA) database and validated in in-house database. The effect of FBP1 on cell proliferation and metastasis was examined in vitro. Nonparametric test and Log-rank test were used to evaluate the clinical significance of FBP1 expression. RESULTS: In the TCGA cohort, FBP1 mRNA level were shown to be predictive of overall survival in gastric cancer (P = 0.029). In the validation cohort, FBP1 expression were inversely correlated with advanced N stage (P = 0.021) and lymphovascular invasion (P = 0.011). Multivariate Cox regression analysis demonstrated that FBP1 was an independent predictor for both overall survival (P = 0.004) and disease free survival (P<0.001). Functional studies demonstrated that ectopic FBP1 expression inhibited proliferation and invasion in gastric cancer cells, while silencing FBP1 expression had opposite effects (P<0.05). Mechanically, FBP1 serves as a tumor suppressor by inhibiting epithelial-mesenchymal transition (EMT). CONCLUSIONS: Downregulation of FBP1 promotes gastric cancer metastasis by facilitating EMT and acts as a potential prognostic factor and therapeutic target in gastric cancer.