Xiao Yuan

Jian Zhou,* Weiqiang Ju,* Xiaopeng Yuan, Xiaofeng Zhu, Dongping Wang, Xiaoshun HeOrgan Transplant Center, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China *These authors contributed equally to this work: Hyperosmolar nonketotic hyperglycemic coma is a serious, rare complication induced by methylprednisolone pulse therapy for acute rejection after orthotopic liver transplantation. Herein, we report an unusual case of a 58-year-old woman who experienced acute rejection at 30 months after OLT, only one case in which HNKHC resulted in MP pulse therapy for acute rejection in all 913 recipients in our center. The general morbidity of HNKHC was 1.09‰ in this study. HNKHC is characterized by rapid onset, rapid progression, and a lack of specific clinical manifestations. High-dose MP management was a clear risk factor. The principle of treatment included rapid rehydration, low-dose insulin infusion, and correcting disorders of electrolytes and acidosis. In conclusion, clinicians considering MP pulse therapy after OLT should be alert to the occurrence of HNKHC. Keywords: liver transplantation, complications, hyperosmolar nonketotic hyperglycemic coma, methylprednisolone pulse therapy, principle of treatment.

Quantum physics can be exploited to generate true random numbers, which have important roles in many applications, especially in cryptography. Genuine randomness from the measurement of a quantum system reveals the inherent nature of quantumness—coherence, an important feature that differentiates quantum mechanics from classical physics. The generation of genuine randomness is generally considered impossible with only classical means. On the basis of the degree of trustworthiness on devices, quantum random number generators (QRNGs) can be grouped into three categories. The first category, practical QRNG, is built on fully trusted and calibrated devices and typically can generate randomness at a high speed by properly modelling the devices. The second category is self-testing QRNG, in which verifiable randomness can be generated without trusting the actual implementation. The third category, semi-self-testing QRNG, is an intermediate category that provides a tradeoff between the trustworthiness on the device and the random number generation speed.

Leader behavior significantly influences employees’ safety performance. This study aimed to examine the effect of abusive supervision on the safety behaviors of subordinates. By drawing on the strength model of self-control, we predicted that abusive supervision would negatively affect safety behaviors through emotional exhaustion, and trait self-control and attentional bias toward safety would moderate the relationship between abusive supervision, emotional exhaustion, and safety behaviors. Our hypothesized model was supported by results from a sample of 159 workers at a chemical product manufacturing enterprise in China. Emotional exhaustion mediated the link between abusive supervision and safety behaviors. Moreover, trait self-control moderated the relationship between abusive supervision and emotional exhaustion, and attentional bias toward safety moderated the relationship between emotional exhaustion and safety compliance. This study elucidates the effects of abusive supervision on safety behaviors through the resource depletion process. Likewise, the importance of trait self-control and attentional bias toward safety in mitigating the potentially harmful effects of abusive supervision in workplace safety is highlighted. Minimizing abusive supervision, providing self-control training, and implementing safety-specific implicit cognition intervention can effectively improve employees’ safety behaviors.