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Cities constitute a critical component of the “dual carbon” strategy, highlighting the importance of examining the carbon emission trends within various city categories to formulate a low-carbon development path. In this paper, 21 cities (prefectures) in Sichuan province were divided into 4 categories (service-based cities, resource-based cities, industry-based cities, and other cities) through K-means clustering, and the differences in driving factors of carbon emissions in different types of cities were explored. At the same time, baseline scenarios, technological innovation scenarios, controlled development scenarios, and mandatory emission reduction scenarios were set up to dynamically simulate the evolution path of urban carbon emissions in the next 30 years from the bottom-up. The results show that: (1) Input scale is the main driving factor for carbon emission growth in Sichuan province, while input carbon intensity is the leading factor for carbon emission reduction. Environmental input and population scale have opposite effects on carbon emission of different urban types. (2) Resource-based cities face challenges in completing the phased goal of “carbon peaking” under both baseline scenarios and controlled development scenarios. These cities have gradually become the predominant city type of emission source in Sichuan province, surpassing service-based cities. (3) Except for the normal scenario, Sichuan province can achieve the target of “carbon peaking” in other scenarios, and is expected to achieve the target of 90 % greenhouse gas reduction by 2050. (4) Among the 81 development paths derived from the urban scenario combinations, the path labeled M−B−C−M exhibits the lowest economic-ecological comprehensive impact coefficient. The bottom-up carbon emission scenario analysis framework established in this paper offers a novel perspective for the study of “carbon peaking” and can provide theoretical support for policymakers in devising regional low-carbon development strategies.

The brewing conditions of beverage milk tea determine the taste of milk tea. This study investigated the changes in sensory characteristics and small molecule compounds in milk tea made from large-leaf yellow tea under different brewing conditions by sensory analysis, colorimeter, and LC-MS. The results show that the tea to milk ratio is the most important process affecting the taste, and the color values of b* (+yellow, - blue) can be used to evaluate the taste of milk tea made from large leaf yellow tea. The composition of small molecular compounds is affected by tea to milk ratio, which can change the taste of milk tea. l-cysteine and 8-methylsulfinyloctyl glucosinolate are significantly positively correlated with taste by metabolomics analysis. l-cysteine was used to verify the analysis results by LC-MS. The total acceptance of milk tea is improved by adding l-cysteine at a low level (0.025–0.035 mM).

Thermal batteries are high-temperature lithium metal batteries. The thermal stability and the specific capacity of cathode materials are key factors to its application. In this case, NiO with high decomposition temperature and theoretical capacity was constructed as a thermal battery cathode. At 500℃, the specific capacity of NiO cathode was about 642 mAh g−1 with a large current density of 0.1 A cm−2 and a cut-off voltage of 1.0 V. This capacity reached 89.4% of the theoretical value at those harsh discharge conditions. As the discharge temperature increased to 700℃, an obvious discharge voltage platform of 1.5 V and a specific capacity of 243 mAh g−1 were still observed for NiO cathodes. While thermal batteries using other common cathode materials cannot discharge efficiently at 700 °C. The XRD and TEM indicated that the high-temperature reaction of the NiO cathode was a one-step reaction: NiO + 2Li++2e-→ Ni + Li2O. This ultra-high temperature discharge ability suggests the NiO cathode can be very promising in high-capacity and long-life thermal battery applications.

Glioblastoma multiforme (GBM) is one of the most common primary malignant brain tumors in adults. Due to the poor prognosis of patients, the median survival time of GBM is often less than 1 year. Therefore, it is very necessary to find novel treatment options with a good prognosis for the treatment or prevention of GBM. In recent years, flavonoids are frequently used to treat cancer. It is a new attractive molecule that may achieve this promising treatment option. Flavonoids have been proved to have many biological functions, such as antioxidation, prevention of angiogenesis, anti-inflammation, inhibition of cancer cell proliferation, and protection of nerve cells. It has also shown the ability to regulate long non-coding RNA (LncRNA). Studies have confirmed that flavonoids can regulate epigenetic modification, transcription, and change microRNA (miRNA) expression of GBM through lncRNA at the gene level. It also found that flavonoids can induce apoptosis and autophagy of GBM cells by regulating lncRNA. Moreover, it can improve the metabolic abnormalities of GBM, interfere with the tumor microenvironment and related signaling pathways, and inhibit the angiogenesis of GBM cells. Eventually, flavonoids can block the tumor initiation, growth, proliferation, differentiation, invasion, and metastasis. In this review, we highlight the role of lncRNA in GBM cancer progression and the influence of flavonoids on lncRNA regulation. And emphasize their expected role in the prevention and treatment of GBM.

Autoimmune liver diseases (AILDs) are a group of liver disorders composed of autoimmune hepatitis (AIH), primary biliary cholangitis (PBC), and primary sclerosing cholangitis (PSC) characterized by chronic hepatic and biliary inflammation. Although several genetic factors, such as HLA alleles, TNFA, and CTLA-4, have been reported in the pathogenesis of AILDs, many details remain unknown. In recent years, microRNAs (miRNAs) have emerged as crucial components in the diagnosis and therapeutic applications of various autoimmune diseases, including systemic lupus erythematosus (SLE), glomerulonephritis, and AILDs. MiRNAs comprise a class of small, noncoding molecules of 19-–25 nucleotides that modulate multiple genes by suppressing or degrading target mRNAs. Altered miRNA profiles have been identified in serum, immune cells, and live tissues from AILD patients. Elevated serum miR-21 and miR-122 levels in AIH patients as well as decreased miR-200c levels in PSC patients indicate their diagnostic utility. Highly expressed miR-122 and miR-378f as well as downregulated miR-4311 and miR-4714-3p in serum samples from refractory PBC patients suggest their potential to evaluate treatment efficacy. Moreover, miRNAs have been reported to participate in AILD development. Increased miR-506 levels may impair bile secretion in PBC by inhibiting Cl-/HCO3-anion exchanger 2 (AE2) and type III inositol 1,4,5-trisphosphate receptor-3 (InsP3R3). Additionally, different miRNA mimics or antagonists, such as atagomiR-155 and miR-223 mimics, have been widely applied in experimental AILD murine models with great efficacy. Here, we provide an overview of miRNAs in AILDs, aiming to summarize their potential roles in diagnosis and therapeutic interventions, and we discuss the challenges and future applications of miRNAs in clinical practice.