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Conclusion: Titanium mesh is a safe and effective treatment for flail chest, which can improve pain, blood gas, hemodynamic indexes, and pulmonary function and promote fracture healing.

Abstract g‐C3N4 was employed as a modified substance for modification engineering of wurtzite‐ZnS photocatalysts to overcome its limited light response and stability. The g‐C3N4/ZnS (CNZS) photocatalyst was synthesized by solvothermal reaction of g‐C3N4, thiourea and zinc acetate. The results show that wurtzite‐ZnS spheres were loaded on the surface of g‐C3N4 with well uniformed size. The photocatalytic activity of the catalyst was determined by the degradation of MB and Rh.B under visible light. The degradation rates of Rh.B and MB by CNZS were 96% and 97%, much better than that of pure ZnS. The addition of g‐C3N4 promoted the visible light response of wurtzite‐ZnS and inhibited the recombination of photogenerated electrons with holes. The density functional theory (DFT) results indicated that the components of both valence band and conductive band were changed for the CNZS system. Compared to pure ZnS, the band gap of CNZS was decreased about 0.5 eV, and the work function calculations were in good agreement with the experimental results. As a result, the heterostructure of CNZS made it beneficial to the electron transfer from g‐C3N4(2p of N) to ZnS (3p of S) and absorption edge has been extended to about 600 nm.

Herein, the authors review the self-regulation system secured by well-designed hybrid materials, composites, and complex system. As a broad concept, the self-regulated material/system has been defined in a wide research field and proven to be of great interest for use in a biomedical system, mechanical system, physical system, as the fact of something such as an organisation regulating itself without intervention from external perturbation. Here, they focus on the most recent discoveries of self-regulation phenomenon and progress in utilising the self-regulation design. This paper concludes by examining various practical applications of the remarkable materials and systems including manipulation of the oil/water interface, cell out-layer structure, radical activity, electron energy level, and mechanical structure of nanomaterials. From material science to bioengineering, self-regulation proves to be not only viable, but increasingly useful in many applications. As part of intelligent engineering, self-regulatory materials are expected to be more used as integrated intelligent components.

Abstract Background All‐cause mortality risk prediction models for patients with type 2 diabetes mellitus (T2DM) in mainland China have not been established. This study aimed to fill this gap. Methods Based on the Shanghai Link Healthcare Database, patients diagnosed with T2DM and aged 40‐99 years were identified between January 1, 2013 and December 31, 2016 and followed until December 31, 2021. All the patients were randomly allocated into training and validation sets at a 2:1 ratio. Cox proportional hazards models were used to develop the all‐cause mortality risk prediction model. The model performance was evaluated by discrimination (Harrell C‐index) and calibration (calibration plots). Results A total of 399 784 patients with T2DM were eventually enrolled, with 68 318 deaths over a median follow‐up of 6.93 years. The final prediction model included age, sex, heart failure, cerebrovascular disease, moderate or severe kidney disease, moderate or severe liver disease, cancer, insulin use, glycosylated hemoglobin, and high‐density lipoprotein cholesterol. The model showed good discrimination and calibration in the validation sets: the mean C‐index value was 0.8113 (range 0.8110–0.8115) and the predicted risks closely matched the observed risks in the calibration plots. Conclusions This study constructed the first 5‐year all‐cause mortality risk prediction model for patients with T2DM in south China, with good predictive performance.