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In order to explore the research trends of thermodynamic disaster in coal mine, based on the perspective of information visualization, 2 845 related papers published in CNKI database from 2002 to 2021 were used as data sources, and CiteSpace was used to conduct scientific measurement analysis on the number of papers, authors, institutions and keywords. The research shows that the research on thermodynamic disaster in coal mine generally shows three stages: slow growth, steady growth and stable development. DENG Jun, WANG Deming, YU Minggao, WEN Hu are the main core authors in this field. China University of Mining and Technology, Xi’an University of Science and Technology, Liaoning Technical University, China University of Mining & Technology（Ｂｅｉｊｉｎｇ） are the main research institutions in this field. Hot keywords mainly focus on gas explosion, coal spontaneous combustion, numerical simulation, mined-out area, etc. The research emphasis in this field is mainly embodied in the research of spontaneous combustion characteristics of coal and gas explosion, in which numerical simulation is an important research method. At present, there are few studies on coal mine thermal power compound disasters and disaster monitoring and early warning. In the future, the research on these two aspects can be strengthened.

Study Design: Retrospective and prospective cohort study. Objectives: Survival estimation is necessary in the decision-making process for treatment in patients with spinal metastasis from cancer of unknown primary (SMCUP). We aimed to develop a novel survival prediction system and compare its accuracy with that of existing survival models. Methods: A retrospective derivation cohort of 268 patients and a prospective validation cohort of 105 patients with SMCUP were performed. Univariate and multivariable survival analysis were used to generate independently prognostic variables. A nomogram model for survival prediction was established by integrating these independent predictors based on the size of the significant variables' β regression coefficient. Then, the model was subjected to bootstrap validation with calibration curves and concordance index (C-index). Finally, predictive accuracy was compared with Tomita, revised Tokuhashi and SORG score by the receiver-operating characteristic (ROC) curve. Results: The survival prediction model included six independent prognostic factors, including pathology (P <.001), visceral metastases (P <.001), Frankel score (P <.001), weight loss (P =.005), hemoglobin (P =.001) and serum tumor markers (P <.001). Calibration curve of the model showed good agreement between predicted and actual mortality risk in 6-, 12-, and 24-month estimation in derivation and validation cohorts. The C-index was.775 in the derivation cohort and.771 in the validation cohort. ROC curve analysis showed that the current model had the best accuracy for SMCUP survival estimation amongst 4 models. Conclusions: The novel nomogram system can be applied in survival prediction for SMCUP patients, and furtherly be used to give individualized therapeutic suggestions based on patients' prognosis. [ABSTRACT FROM AUTHOR]

This article designed a data acquisition system for Time-of-Flight Secondary Ion Mass Spectrometer(TOF-SIMS). The system uses high speed Analog-to-Digital conversion(ADC) for sampling of analog signals. The timing controller is FPGA. The DDR3 SDRAM is used to store massive amounts of data. PCI-Express(PCIE) bus is used to communicate with computer，and the ADC dynamic performance and PCI-Express bus read and write speed are tested. The results show that the system acquires the sine wave with the frequency of 400 MHz, the signal to noise ratio of ADC is 56.333 dB, the total harmonic distortion is -63.509 dB, the effective number is 8.995 bit，and PCI-Express bus has write speed of 1 135 MB/s and read speed of 1 002 MB/s，which meet needs of the TOF-SIMS.

Organic luminogens (OLs) that emit strong fluorescence in both solution and the aggregated state, referred to as dual-state emission luminogens (DSEgens), are highly desirable because of their capability to achieve multiple functions within onefold materials. The fluorescence of OLs, including DSEgens, with intramolecular charge transfer characteristics, often decreases in solution as the solvent polarity increases, namely the positive solvatokinetic effect, resulting in inferior environmental stability. In this work, fluorination to naphthalimide (NI)–cyanostilbene (CS) derivatives was adopted to construct novel DSEgens (NICSF-X, X = B, P, M, and T, respectively). Steady-state and transient spectroscopies were utilized to study their photophysical properties, evidencing their DSE properties with fluorescence quantum yields (ϕ) ∼0.2–0.4 in solution and ∼0.5–0.9 as solids. In particular, strong fluorescence emission in highly polar solvents i.e., ϕ up to ∼0.4–0.5 in ethanol, was sustained for NICSF-Xs, possibly assisted by hydrogen bonding (H-bonding) formation. Theoretical calculations and single-crystal structure analysis rationalized the intense photoluminescence (PL) emission of NICSF-Xs in the solid state. In addition, NICSF-Xs showed two-photon absorption (2PA) behaviors in dual states and were successfully applied for HepG2 cell imaging with one-photon and 2PA excitation, with lipid droplet targeting. Our study suggests that functionalization of molecules by fluorination to introduce H-bonding is a promising strategy to enhance the environmental stability of fluorescence in solution and realize strong PL emission in highly polar solvents, which could be favorable for bioimaging. [ABSTRACT FROM AUTHOR]