With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

OBJECTIVE: To monitor the changes of voriconazole minimum concentration(C_min) in patients with hematological diseases, and evaluate the factors influencing and adverse reactions of voriconazole clearance in patients with hematological diseases, so as to provide a theoretical basis for reasonable clinical use of voriconazole. METHODS: 136 patients with hematological diseases who used voriconazole in Wuhan NO.1 Hospital from May 2018 to December 2019 were selected. The correlation between C-reactive protein, albumin, creatinine and voriconazole C_min were analyzed, and the changes of voriconazole C_min after glucocorticoid treatment was also detected. In addition, stratified analysis was used to explore the adverse events of voriconazole. RESULTS: Among 136 patients, 77 were male (56.62%) and 59 were female (43.38%). There were positive correlations between voriconazole C_min and C-reactive protein and creatinine levels (r=0.277, r=0.208), while voriconazole C_min was negatively correlated with albumin level (r=-2.673). Voriconazole C_min in patients treated with glucocorticoid was decreased significantly (P<0.05). In addition, sratified analysis of voriconazole C_min showed that compared with voriconazole C_min 1.0-5.0 mg/L group, the incidence of adverse reactions of visual impairment in voriconazole C_min> 5.0 mg/L group was increased (χ²=4.318, P=0.038). CONCLUSION The levels of C-reactive protein, albumin and creatinine are closely related to the voriconazole C_min, which indicate that inflammation and hyponutrition may prevent the clearance of voriconazole in patients with hematological diseases. It is necessary to monitor the voriconazole C_min of patients with hematological diseases, and adjust the dosage in time to reduce adverse reactions.
Humans ; Male ; Female ; Voriconazole/therapeutic use* ; Antifungal Agents/therapeutic use* ; C-Reactive Protein ; Creatinine ; Glucocorticoids ; Retrospective Studies ; Drug Monitoring ; Hematologic Diseases

Objective To control the nosocomial infection and avoid the second pollution of thereclaimed medical apparatus to the washing area of supply room. Methods Count, classification and place of the reclaimed medical apparatus went along at the same self-designed categorizing pedestal of the muhi-function apparatus.No absorbing cloth was needed on the table-board, the dirty water flew into the outfall of the sewer directly and automatically, the discreteness could be unpicked, washed and lis-terized after work. Results It avoided the collision of the apparatuses, shortened the time of counting effectively and reduced the chance of pollution.It also avoided the waste of the manpower, the material resources, the time and the second environmental pollution. The effects of the two table-boards after disinfection had statistical difference (P＜0.01). Conclusions The categorizing pedestal of the mul-ti-function apparatus makes the reclaim and handling of the polluted apparatus more standard and to re-move the pollution more thoroughly.