A Fume Concentration Model of Underground Mine Fire and Its Calculation

AbstractIn order to obtain fume concentration distribution of underground mine fire spread process, a fume concentration calculation model, which takes into accounts into the effect of the fume's diffusion effect and the transport effect of the airflow, is established with the gradient transfer theory. The corresponding calculation steps are put forward. Then through calculating the fire fume concentration of a typical underground mine, the risk range of certain time after the fire accident can be given according to related standards. The results verify the validity and accuracy of the model and can provide references for the evacuation and rescue of underground mine fire accident

(μ-2,3-Dihydroxy­butane-1,4-dithiol­ato)bis­[triphenyl­tin(IV)]

In the title compound, [Sn2(C6H5)6(C4H8O2S2)], the geometry around the Sn atoms is distorted tetra­hedral. The hydr­oxy groups are involved in O—H⋯O hydrogen bonding, which connects mol­ecules into centrosymmetric dimers

RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL

One of the recent best attempts at Text-to-SQL is the pre-trained language model. Due to the structural property of the SQL queries, the seq2seq model takes the responsibility of parsing both the schema items (i.e., tables and columns) and the skeleton (i.e., SQL keywords). Such coupled targets increase the difficulty of parsing the correct SQL queries especially when they involve many schema items and logic operators. This paper proposes a ranking-enhanced encoding and skeleton-aware decoding framework to decouple the schema linking and the skeleton parsing. Specifically, for a seq2seq encoder-decode model, its encoder is injected by the most relevant schema items instead of the whole unordered ones, which could alleviate the schema linking effort during SQL parsing, and its decoder first generates the skeleton and then the actual SQL query, which could implicitly constrain the SQL parsing. We evaluate our proposed framework on Spider and its three robustness variants: Spider-DK, Spider-Syn, and Spider-Realistic. The experimental results show that our framework delivers promising performance and robustness. Our code is available at https://github.com/RUCKBReasoning/RESDSQL.Comment: Accepted to AAAI 2023 main conference (oral

Antroquinonol Exerts Immunosuppressive Effect on CD8 +

Antroquinonol was investigated as antioxidant and inhibition of inflammatory responses. Our study was to evaluate its immunosuppressive effect on CD8+ T cells and protective effect on depigmentation. CD8+ T cells were treated with antroquinonol in vitro, and C57BL/6 mice were treated with antroquinonol with or without H2O2 in vivo for 50 consecutive days. We found antroquinonol could inhibit proliferation of CD8+ T cells and suppress the production of cytokines IL-2 and IFN-γ and T cell activation markers CD69 and CD137 in vitro. H2O2 treatment induced depigmentation and reduced hair follicle length, skin thickness, and tyrosinase expression in vivo. Whereas, antroquinonol obviously ameliorated depigmentation of mice skin and resisted the reduction of hair follicle length, skin thickness, and tyrosinase expression induced by H2O2. Antroquinonol decreased CD8+ T cell infiltration in mice skin, inhibited the production of IL-2 and IFN-γ, and decreased the expression of CXCL10 and CXCR3. Summarily, our data shows antroquinonol inhibits CD8+ T cell proliferation in vitro. It also reduces CD8+ T cell infiltration and proinflammatory cytokine secretion and suppresses the thinning of epidermal layer in vivo. Our findings suggest that antroquinonol exerts immunosuppressive effects on CD8+ T cell proliferation and activation to resist depigmentation induced by H2O2

Idiosyncratic volatility and firm-specific news: evidence from the Chinese stock market

This study investigates the effect of firm-specific news on the pricing of idiosyncratic volatility (IVOL) in China. Using a sample of non-financial A-share listed firms from January 2006 to June 2018, we find that the predictive ability of IVOL is much weaker around firm announcements compared to that without news, suggesting that the limited arbitrage cannot disentangle the IVOL puzzle completely in the emerging market. Additionally, we investigate the effect of news sentiment on the predictive ability of IVOL and find that it is much stronger following bad news compared to good news. Finally, when we include the macroeconomic variables known to predict returns to adjust the systematic risk, we obtain novel findings that the negative premium of IVOL becomes insignificant, suggesting that the negative premium is time-varying with macroeconomy