Unraveling interactions and priorities under sustainable development goals in less-developed mountainous areas: case study on the National Innovation Demonstration Zone for the 2030 Agenda for Sustainable Development, China.

Understanding the intricate relationships between progress and the United Nations' 17 Sustainable Development Goals (SDGs) is vital for informed and adaptable sustainable development policy formulation. This study focused on the Lincang National Innovation Demonstration Zone for the 2030 Agenda for Sustainable Development (LC-NIDZASD) in China. By evaluating sustainability scores at the county level from 2011 to 2020, the trade-offs and synergies among SDGs were explored. Priority SDGs for development were identified, and targeted recommendations were established based on these findings. The key findings are as follows: (1) The SDG index scores of Lincang and its counties showed an increase from 2011 to 2020, with scores riding from 42.1 to 52.2. SDG6 (Clean Water and Sanitation) and SDG12 (Responsible Production and Consumption) had the highest scores, while SDG1 (No Poverty) and SDG4 (Quality Education) increased significantly. However, the COVID-19 pandemic led to a decrease in the scores of SDG1, SDG8 (Decent Jobs and Economic Growth), and SDG17 (Partnerships for the Goals) in 2020 decreased compared to 2019. Decreased scores in SDG13 (Climate Action) and SDG15 (Life on Land) may be attributable to climate change. (2) The relationship between "Objectives" and ''Governance" appears to be synergistic, while ''Essential Needs" mainly shows a trade-off relationship with ''Objectives" and ''Governance." (3) To promote achievements in the construction of LC-NIDZASD, priority should be given to SDG3 (Health and Well-Being), SDG8, SDG9 (Industry, Innovation, and Infrastructure), and SDG12; SDG4 should not be ignored. (4) Overall, Lincang has made significant progress in sustainable development. However, to further consolidate these achievements, adjustments should be made for SDG7 (Energy Consumption and Production Structure). Efforts should be made to strengthen climate governance measures and improve warning and forecasting capabilities to promote the synergistic development of SDG7 (Affordable and Clean Energy) and SDG13 with other SDGs. This study's dynamic monitoring of changes in the SDGs in Lincang provides valuable insights into the synergies and trade-offs among these goals. Appropriate prioritization across various SDGs can allow for timely adjustments in sustainable management policies, ultimately contributing to the successful operation of the LC-NIDZASD.

Spatial-temporal dynamics of land use carbon emissions and drivers in 20 urban agglomerations in China from 1990 to 2019.

Urban agglomerations (UAs) are the largest carbon emitters; thus, the emissions must be controlled to achieve carbon peak and carbon neutrality. We use long time series land-use and energy consumption data to estimate the carbon emissions in UAs. The standard deviational ellipse (SDE) and spatial autocorrelation analysis are used to reveal the spatiotemporal evolution of carbon emissions, and the geodetector, geographically and temporally weighted regression (GTWR), and boosted regression trees (BRTs) are used to analyze the driving factors. The results show the following: (1) Construction land and forest land are the main carbon sources and sinks, accounting for 93% and 94% of the total carbon sources and sinks, respectively. (2) The total carbon emissions of different UAs differ substantially, showing a spatial pattern of high emissions in the east and north and low emissions in the west and south. The carbon emissions of all UAs increase over time, with faster growth in UAs with lower carbon emissions. (3) The center of gravity of carbon emissions shifts to the south (except for North China, where it shifts to the west), and carbon emissions in UAs show a positive spatial correlation, with a predominantly high-high and low-low spatial aggregation pattern. (4) Population, GDP, and the annual number of cabs are the main factors influencing carbon emissions in most UAs, whereas other factors show significant differences. Most exhibit an increasing trend over time in their impact on carbon emissions. In general, China still faces substantial challenges in achieving the dual carbon goal. The carbon control measures of different UAs should be targeted in terms of energy utilization, green and low-carbon production, and consumption modes to achieve the low-carbon and green development goals of the United Nations' sustainable cities and beautiful China's urban construction as soon as possible.

Circ_0010235 Regulates HOXA10 Expression to Promote Malignant Phenotypes and Radioresistance in Non-small Cell Lung Cancer Cells Via Decoying miR-588.

Background: Circular RNAs (circRNAs) are key modulators in carcinogenesis and radioresistance in multiple kinds of human cancers. Aims: To explore the role of circ_0010235 in non-small cell lung cancer (NSCLC). Study Design: Cell culture study and animal study. Methods: The detection of circ_0010235, microRNA-588 (miR-588), and homeobox protein A10 (HOXA10) was implemented via reverse transcription-quantitative polymerase chain reaction (RT-qPCR). CCK-8, EdU, flow cytometry, transwell, and wound healing assays. These strategies were applied to evaluate cell functions. The western blot technique was employed for protein examination. The colony formation assay was used to determine cell survival after radiation treatment. In vivo research was performed by tumor xenograft assay. The binding analysis was also carried out through dual-luciferase reporter and RNA immunoprecipitation studies. Results: Circ_0010235 had an enhanced expression in NSCLC. Circ_0010235 deficiency inhibited cell proliferation, invasiveness, and migratory ability but promoted apoptosis and radiosensitivity. Downregulation of circ_0010235 decelerated tumor growth and promoted radiation sensitivity in vivo. Circ_0010235 was controlled biologically in NSCLC cells by combining with miR-588 and targeting miR-588. HOXA10 acted as a target of miR-588. MiR-588 upregulation inhibited NSCLC cell malignant phenotypes and elevated radiosensitivity via downregulating HOXA10. Circ_0010235 could regulate the level of HOXA10 by sponging miR-588. Conclusion: Circ_0010235 contributed to the malignant progression of NSCLC, but suppressed the radiation sensitivity via targeting miR- 588 to induce HOXA10 upregulation.

Are Chinese social scientists concerned about climate change? A bibliometric analysis and literature review.

China has been the world's largest emitter of carbon dioxide since 2006. To achieve the goal of carbon neutrality by 2060, social scientists must become involved in China's deep decarbonization process. However, Chinese social scientists have given little attention to climate change in their bibliometric research. Based on the Chinese Social Sciences Citation Index journal catalog of the four essential social sciences, namely, management, economics, politics, and sociology, we used the China National Knowledge Infrastructure database to quantify the extent to which Chinese social scientists are concerned about climate change. The results showed that from 1978 to 2020, 1179 articles on climate change were published in management, economics, politics, and sociology journals, which represented only 26.8% of the 4397 articles published on pollution in the same journals. Politics journals published the most articles (38.76%), while sociology journals published the fewest (2.37%). Thus, Chinese social scientists rarely considered climate change, mainly because this topic remains controversial in some fields and because of the influence of international politics in addition to the promotion and incentive mechanisms for researchers. We analyzed the keywords and evolution of climate change research in the four social sciences and our results show that social scientists should give greater emphasis to climate change in their research.

Baseflow dynamics and multivariate analysis using bivariate and multiple wavelet coherence in an alpine endorheic river basin (Northwest China).

Baseflow is a component of streamflow derived from shallow and deep subsurface flows that is concurrently controlled by multiple factors. Rational estimation of baseflow is critical for understanding its spatiotemporal dynamics and influencing factors within a river basin. To address this, different filtering parameters were applied to separate the baseflow of the Heihe River Basin (HRB) in Northwest China using digital filtering methods. Moreover, using bivariate and multivariate wavelet coherences, multivariate relationships between baseflow and meteorological factors/large-scale circulation indices were identified for several factors, which explained most of the variations. Results showed annual average baseflow was 10.3-91.1 mm and that the baseflow index (BFI) varied between 0.50 and 0.72 (average: 0.62). This indicates that 62% of long-term streamflow likely originates from groundwater discharge and other delayed sources. Positive/negative Spearman correlation coefficients between baseflow and extreme climate indices were more significant at upstream (Yingluoxia, Liyuanbao-and Wafangcheng) stations in comparison with midstream (Suyukou, Shunhua) and downstream (Yangyangchi) stations. Correlation for the BFI was relatively weaker than for baseflow. Furthermore, bivariate wavelet coherences revealed that precipitation (six stations) and the Atlantic Multidecadal Oscillation (four stations) were the individual factors that best explained baseflow variations. Multiple wavelet coherence demonstrated that all meteorological factors/large-scale circulation indices had the highest percentage of the numbers of power significant at the 95% significance level that could best explain baseflow variations. However, the average power of wavelet coherence was not increased. Differences likely attributable to consideration of additional variables were diminished by collinearity effects among factors. Furthermore, baseflow at the midstream Zhengyxia and downstream Yangyangchi stations had significant positive and negative correlation with population and effective irrigation area, respectively. The findings indicate that development of regional hydrometeorological models should primarily consider the impact of climate change in the upstream HRB, whereas the effects of both climate change and human activities should be considered in the midstream and downstream HRB.

Long non-coding RNA HAGLROS facilitates the malignant phenotypes of NSCLC cells via repressing miR-100 and up-regulating SMARCA5.

BACKGROUND: Long non-coding RNA (lncRNA) is implicated in the progression of multiple cancers. This study aimed to explore the expression characteristics, biological function and molecular mechanism of lncRNA HAGLROS expression in NSCLC. METHODS: Quantitative real-time polymerase chain reaction (RT-PCR) was adopted to detect HAGLROS expression in NSCLC tissues and normal lung tissues. Survival curve was plotted by Kaplan-Meier method. Gain-of-function and loss-of-function models were respectively established to investigate the biological functions of HAGLROS, miR-100 and SMARCA5. MTT and Transwell assays were carried out to monitor the changes in proliferation, migration and invasion of NSCLC cells. Bioinformatics analysis and dual-luciferase reporter assay were used to verify the binding sites between HAGLROS and miR-100. Western blot was performed to determine the regulatory effects of HAGLROS and miR-100 on SMARCA5 protein expression. RESULTS: Up-regulated HAGLROS expression was observed in NSCLC tissues and cell lines. Over-expressed HAGLROS promoted the malignant phenotypes of NSCLC cells; conversely, HAGLROS knockdown repressed the malignant phenotypes of NSCLC cells. HAGLROS repressed miR-100 expression to promote SMARCA5 expression in NSCLC cells, and miR-100 overexpression or SMARCA5 knockdown counteracted the oncogenic functions of HAGLROS. CONCLUSIONS: These results conclude that HAGLROS is a tumor promoter in NSCLC, and it regulates the malignant phenotypes of NSCLC cells via miR-100/SMARCA5 axis.

Correlative analysis of miR-34b and p53 with pathological characteristics of NSCLC.

The expression of miR-34b and p53 in non-small cell lung cancer (NSCLC) was investigated to explore its relationship with clinical pathology of NSCLC. Reverse transcription-quantitative PCR (RT-qPCR) method was used to quantitatively analyze miR-34b and p53 in cancer tissue and adjacent paraneoplastic (PTLC) tissue in 54 cases of NSCLC. The relationship between gene expression and clinical pathological data was analyzed. The expression of miR-34b in tumor tissues of NSCLC patients was significantly downregulated in comparison with PTLC. The expression level of miR-34b was negatively correlated with lymph node metastasis. It was positively correlated with the degree of differentiation and negatively correlated with the pathological stage (P<0.05). There was no significant association in the expression of miR-34b with age, sex, histological type, and gross classification (all P>0.05). The expression of p53 in the tumor tissue of NSCLC patients was significantly reduced in comparison with PTLC, and its expression was negatively correlated with the pathological stage, lymph node metastasis, and was positively correlated with the degree of differentiation. The expression of p53 in adenocarcinoma was generally higher than that of squamous cell carcinoma and large cell carcinoma. The expression of p53 in central type cancer was significantly higher than that in peripheral type (P<0.05). The expression of miR-34b and p53 was positively correlated in NSCLC tissues (r=0.797, P<0.001). The high expression of miR-34b and p53 is closely related to the clinical stage and pathological grade of NSCLC. miR-34b and p53 may serve as important tumor markers for NSCLC.

Runoff variation characteristics, association with large-scale circulation and dominant causes in the Heihe River Basin, Northwest China.

The water resources in arid and semi-arid regions are critical to providing reliable sources of water for food production and ecosystem functioning. In this study, continuous wavelet transform and wavelet coherence were used to analyse the runoff periodicity and relationship with climate indices, respectively. Additionally, the double mass curve (DMCD), the slope changing ratio of cumulative quantity (SCRCQ) and the Choudhury-Yang equation (Budyko-CY) methods for different potential evapotranspiration data (E0(E0-20 cm, E0-PM, E0-H)) were used to separate the impacts of climate changes and anthropogenic activities on runoff variations. The results demonstrated that the flow regimes in high and low flow seasons were not obvious shifts, and that after implementation of the Ecological Water Diversion Project (EWDP), ecosystems were gradually restored in the downstream portion of the Heihe River Basin (DHRB). Periodicities of 1-7 years and 1-5.8 years were detected in Yingluoxia and Zhengyixia, respectively. Additionally, on a 1-148.2 month timescale, the monthly runoff with AO, NAO, PDO, and AMO had significant resonance periodicity and a 1-48 month Spearman's lag correlation. On the annual and high-flow, climate changes dominant determinant to an increase of runoff for the DMCD and Budyko-CY in period 2, SCRCQ and Budyko-CY in period 3 for different E0 in the upstream (UHRB). In the midstream (MHRB) region, anthropogenic activities played a dominant role in deducing the runoff by the SCRCQ and Budyko-CY methods for different E0 values in period 3. During the low-flow season, the impact of human activities in the UHRB and climate changes in the MHRB was significant for period 2 and 3. Therefore, the impacts of climate change and human activities on runoff changes caused by the introduction of different E0 on different timescales should be fully considered in the future.