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.

This study was aimed at establishing a method of ultra-fast quantitative PCR for Brucella detection.We used an exogenous recombinant plasmid as the internal reference and targeted the T4SS secretion system,an important Brucella viru-lence factor,to design specific primers and probes.The sensitivity,specificity,and repeatability of this method were evaluated,and a standard curve was constructed.The coincidence rate of detection findings with this method versus quantitative PCR was determined.This method markedly decreased the detection time to only 10 minutes.The standard curve demonstrated a good linear relationship(Y=-3.410 7x+38.357,R2=0.998 5)with a low minimum detection limit of 10 copies/μL.The method exhibited good specificity and did not specifically amplify several common clinical bacteria other than Brucella.The de-tection of three concentrations of positive plasmids yielded coefficients of variation(CVs)of 0.20％to 0.91％,thus demonstra-ting the method's excellent repeatability.Furthermore,140 clinical samples were analyzed concurrently with the fluorescence PCR method,which yielded a 100％compliance rate and consistent results.Our findings indicated that the Brucella ultra-fast quantitative PCR was ultrafast;had high sensitivity,high specificity,and good specificity;and can be used for the clinical de-tection of Brucella and emergency investigation of epidemics.Therefore,this method is valuable for the early diagnosis of Bru-cella.

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.

This study was aimed at establishing a method of ultra-fast quantitative PCR for Brucella detection.We used an exogenous recombinant plasmid as the internal reference and targeted the T4SS secretion system,an important Brucella viru-lence factor,to design specific primers and probes.The sensitivity,specificity,and repeatability of this method were evaluated,and a standard curve was constructed.The coincidence rate of detection findings with this method versus quantitative PCR was determined.This method markedly decreased the detection time to only 10 minutes.The standard curve demonstrated a good linear relationship(Y=-3.410 7x+38.357,R2=0.998 5)with a low minimum detection limit of 10 copies/μL.The method exhibited good specificity and did not specifically amplify several common clinical bacteria other than Brucella.The de-tection of three concentrations of positive plasmids yielded coefficients of variation(CVs)of 0.20％to 0.91％,thus demonstra-ting the method's excellent repeatability.Furthermore,140 clinical samples were analyzed concurrently with the fluorescence PCR method,which yielded a 100％compliance rate and consistent results.Our findings indicated that the Brucella ultra-fast quantitative PCR was ultrafast;had high sensitivity,high specificity,and good specificity;and can be used for the clinical de-tection of Brucella and emergency investigation of epidemics.Therefore,this method is valuable for the early diagnosis of Bru-cella.

Objective To observe the clinical effect of PENG's tendon-separating tuina therapy combined with lateral needling technique for meridian sinew in the treatment of acute scapulohumeral periarthritis(referred to as frozen shoulder),and to provide therapeutic ideas and evidence for the treatment of acute scapulohumeral periarthritis.Methods Sixty patients with acute scapulohumeral periarthritis were randomly divided into treatment group and control group,with 30 cases in each group.The control group was treated with lateral needling technique for meridian sinew,and the treatment group was treated with PENG's tendon-seperating tuina therapy combined with lateral needling technique for meridian sinew.Both groups were treated for once a day,10 times as a course of treatment,and for a total of 2 courses of treatment.The changes of pain Visual Analogue Scale(VAS)score and Constant-Murley Scale(CMS)score of shoulder joint function in the two groups were observed before treatment and after one and two course(s)of treatment.Moreover,the clinical efficacy of the two groups was evaluated.Results(1)After two courses of treatment,the total effective rate of the treatment group was 90.00%(27/30),and that of the control group was 73.30%(22/30).The overall efficacy(tested by rank sum test)and total effective rate(tested by chi-square test)of the treatment group were significantly superior to those of the control group,and the differences were statistically significant(P＜0.05).(2)After one and two course(s)of treatment,the VAS scores of pain in the two groups were significantly decreased than those before treatment(P＜0.05 or P＜0.01);after two courses of treatment,VAS scores in the two groups were significantly lower than those after one course of treatment(P＜0.05).The decrease of VAS scores in the treatment group after one and two course(s)of treatment was significantly superior to that in the control group,and the difference were statistically significant(P＜0.05 or P＜0.01).(3)After one and two course(s)of treatment,the CMS scores of shoulder joint function in the two groups were significantly higher than those before treatment(P＜0.01);after two courses of treatment,the CMS scores in the two groups were higher than those after one course of treatment(P＜0.05).The increase of CMS scores in the treatment group after one and two course(s)of treatment was significantly superior to that in the control group,and the difference was statistically significant(P＜0.01).Conclusion PENG's tendon-separating tuina therapy combined with lateral needling technique for meridian sinew has a definite clinical effect in the treatment of patients with acute scapulohumeral periarthritis,which can effectively relieve the pain and discomfort of shoulder joint and improve the movement function of shoulder joint.

ObjectiveTo investigate the effect of mucin 1 (MUC1) on the proliferation and apoptosis of nasopharyngeal carcinoma (NPC) and its regulatory mechanism. MethodsThe 60 NPC and paired para-cancer normal tissues were collected from October 2020 to July 2021 in Quanzhou First Hospital. The expression of MUC1 was measured by real-time quantitative PCR (qPCR) in the patients with PNC. The 5-8F and HNE1 cells were transfected with siRNA control (si-control) or siRNA targeting MUC1 (si-MUC1). Cell proliferation was analyzed by cell counting kit-8 and colony formation assay, and apoptosis was analyzed by flow cytometry analysis in the 5-8F and HNE1 cells. The qPCR and ELISA were executed to analyze the levels of TNF-α and IL-6. Western blot was performed to measure the expression of MUC1, NF-кB and apoptosis-related proteins (Bax and Bcl-2). ResultsThe expression of MUC1 was up-regulated in the NPC tissues, and NPC patients with the high MUC1 expression were inclined to EBV infection, growth and metastasis of NPC. Loss of MUC1 restrained malignant features, including the proliferation and apoptosis, downregulated the expression of p-IкB、p-P65 and Bcl-2 and upregulated the expression of Bax in the NPC cells. ConclusionDownregulation of MUC1 restrained biological characteristics of malignancy, including cell proliferation and apoptosis, by inactivating NF-κB signaling pathway in NPC.

Objective To evaluate the management and indicators of pathogen detection before antimicrobial treat-ment for inpatients in second level and above medical institutions(MIs)in Guangdong Province,and provide direc-tion and decision-making basis for the improvement of pathogen detection quality in the region.Methods The ma-nagement status,information system functions,and pathogen detection rate indicators of secondary and above MIs in 21 cities in Guangdong Province was surveyed through online questionnaire surveys and system submission.A baseline survey on sentinel monitoring MIs was conducted from July 15th to August 8th,2023.From November 7th to 30th,a baseline survey on non-sentinel monitoring MIs was launched.Surveys on indicator information of all MIs were completed from January 15th to 30th,2024.Results A total of 265 MIs were surveyed,and the proportions of establishing special working groups(83.98％),developing special action improvement plans(79.01％),estab-lishing pathogen detection rate management systems(91.71％),and developing management assessment plans(76.80％)of tertiary MIs were all higher than that of secondary MIs,differences were all statistically significant(all P＜0.05).The proportion of tertiary MIs with various information system functions was higher than that of secondary MIs(all P＜0.05).The pathogen detection rate(61.07％)before antimicrobial treatment and health-care-associated infection(HAI)diagnosis-related pathogen detection rate(88.00％)of inpatients in tertiary MIs were both higher than those in secondary MIs(both P＜0.05).Among different types of MIs,pathogen detection rate before antimicrobial treatment of inpatients in maternal and child health MIs was higher than that in other types of MIs.HAI diagnosis-related pathogen detection rate in other specialized hospitals was the highest,and pathogen detection rate before combined use of key antimicrobial treatment in traditional Chinese medicine hospitals was the lowest,differences were all statistically significant(all P＜0.05).Conclusion Tertiary MIs have more advantages in management strategies and information technology construction than secondary MIs,secondary MIs need more guidance and support.Monitoring and analysis of pathogen detection rate indicators in MIs of different levels and types should be strengthened through special actions.

Objective To evaluate the management and indicators of pathogen detection before antimicrobial treat-ment for inpatients in second level and above medical institutions(MIs)in Guangdong Province,and provide direc-tion and decision-making basis for the improvement of pathogen detection quality in the region.Methods The ma-nagement status,information system functions,and pathogen detection rate indicators of secondary and above MIs in 21 cities in Guangdong Province was surveyed through online questionnaire surveys and system submission.A baseline survey on sentinel monitoring MIs was conducted from July 15th to August 8th,2023.From November 7th to 30th,a baseline survey on non-sentinel monitoring MIs was launched.Surveys on indicator information of all MIs were completed from January 15th to 30th,2024.Results A total of 265 MIs were surveyed,and the proportions of establishing special working groups(83.98％),developing special action improvement plans(79.01％),estab-lishing pathogen detection rate management systems(91.71％),and developing management assessment plans(76.80％)of tertiary MIs were all higher than that of secondary MIs,differences were all statistically significant(all P＜0.05).The proportion of tertiary MIs with various information system functions was higher than that of secondary MIs(all P＜0.05).The pathogen detection rate(61.07％)before antimicrobial treatment and health-care-associated infection(HAI)diagnosis-related pathogen detection rate(88.00％)of inpatients in tertiary MIs were both higher than those in secondary MIs(both P＜0.05).Among different types of MIs,pathogen detection rate before antimicrobial treatment of inpatients in maternal and child health MIs was higher than that in other types of MIs.HAI diagnosis-related pathogen detection rate in other specialized hospitals was the highest,and pathogen detection rate before combined use of key antimicrobial treatment in traditional Chinese medicine hospitals was the lowest,differences were all statistically significant(all P＜0.05).Conclusion Tertiary MIs have more advantages in management strategies and information technology construction than secondary MIs,secondary MIs need more guidance and support.Monitoring and analysis of pathogen detection rate indicators in MIs of different levels and types should be strengthened through special actions.

Humans ; East Asian People ; Psoriasis/drug therapy* ; Antibodies, Monoclonal, Humanized/therapeutic use* ; Treatment Outcome ; Severity of Illness Index

ObjectiveTo study the potential quality marker （Q-marker） of Tinosporae Radix associated with efficacy of "relieving sore throat" based on ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry （UPLC-Q-TOF-MS）， multivariate statistical analysis （MSA）， and network pharmacology. MethodUPLC-Q-TOF-MS was used to identify the main chemical components in 18 batches of Tinosporae Radix. On this basis， principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA） were employed to screen out the main marker components that caused differences between groups. Moreover， network pharmacology technology was applied to predict the potential "sore throat-relieving" components， and the molecular docking between the common components resulting from MSA and network pharmacology and the core targets was carried out to verify the marker components. ResultA total of 17 compounds， including alkaloids， diterpenoid lactones， and sterols， were identified by UPLC-Q-TOF-MS. Five main differential components were found by MSA： Columbamine， jatrorrhizine， palmatine， menisperine， and columbin. Network pharmacology analysis yielded six compounds： tetrahydropalmatine， palmatine， menisperine， fibleucin， neoechinulin A， and columbin which were selected as potential "sore throat-relieving" components of Tinosporae Radix. They may relieve sore throat by acting on interleukin-6， epidermal growth factor receptor， prostaglandin G/H synthase 2， matrix metalloproteinase-9， proto-oncogene tyrosine-protein kinase Src and other targets， and regulating Hepatitis B， influenza A， human T-cell virus infection， human cytomegalovirus infection， coronavirus disease-2019， and other signaling pathways. The common active components in Tinosporae Radix resulting from MSA and network pharmacology analysis were palmatine， menisperine， and columbin， which had high binding affinity with six core targets and can be used as the Q-marker components of Tinosporae Radix in "relieving sore throat". ConclusionThis study predicts the "sore throat-relieving" Q-marker of Tinosporae Radix， which lays a basis for developing the quality standard of Tinosporae Radix based on the efficacy and improving the quality evaluation system of the medicinal.