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 evaluate the diagnostic value of coronary angiography-derived fractional flow reserve (FFR) and index of microcirculatory resistance (IMR) for identifying coronary functional abnormalities.Methods:This diagnostic study enrolled patients with clinically suspected or diagnosed coronary artery disease who underwent coronary angiography at Beijing Anzhen Hospital, TEDA International Cardiovascular Hospital, and Qilu Hospital of Shandong University between December 2021 and June 2022. All enrolled patients successfully underwent invasive wire-based FFR and IMR measurements during angiography. In a core laboratory, FFR and IMR for the target vessels were measured using artificial intelligence technology based on coronary angiographic images. Spearman correlation analysis was used to evaluate the correlation between angiography-derived FFR and wire-based FFR, and between angiography-derived IMR and wire-based IMR. Coronary hemodynamic abnormality was defined as FFR≤0.80; the diagnostic performance of angiography-derived FFR for identifying this abnormality was evaluated. Microcirculatory dysfunction was defined as IMR≥25; the diagnostic performance of angiography-derived IMR for identifying microcirculatory dysfunction was evaluated.Results:A total of 181 patients, aged (60.6±8.8) years, with 62 (34.3%) females, and 181 target vessels were included in the final analysis. Angiography-derived FFR showed a significant positive correlation with wire-based FFR ( r=0.78, P<0.001). For identifying coronary hemodynamic abnormality, angiography-derived FFR showed an accuracy of 89.0%, sensitivity of 88.8%, specificity of 89.1%, positive predictive value (PPV) of 88.8%, negative predictive value (NPV) of 89.1%, and an area under the receiver operating characteristic curve ( AUC) of 0.88. Angiography-derived IMR showed a significant positive correlation with wire-based IMR ( r=0.93, P<0.001). For identifying microcirculatory dysfunction, angiography-derived IMR demonstrated an accuracy of 89.5%, sensitivity of 86.8%, specificity of 90.2%, PPV of 70.2%, NPV of 96.3%, and an AUC of 0.95. Conclusion:Angiography-derived FFR and IMR exhibit strong correlations with their invasive wire-based counterparts and demonstrate high diagnostic value for assessing coronary hemodynamics and coronary microcirculatory function.

Objective:To assess the impact of urban-rural health insurance integration on the non-agricultural employment of rural labor in China.Methods:Using CHFS data(2011-2019)and a DID model,this study analyzed the impact on non-agricultural employment probability and quality(wage income,job stability)and examined the effect of different integration models.Results:The integration of urban and rural health insurance significantly increases the probability and quality of non-agricultural employment among rural labor.This effect operates through three key mechanisms:easing household liquidity constraints,improving health-related human capital,and expanding job search scope.Moreover,the"unified urban-rural tier"model proves more effective than the"one-system-multi-tiers"model in promoting non-agricultural employment and enhancing job quality.Conclusion:The integration positively contributes to improving rural labor allocation efficiency and mobilizing surplus rural labor capacity.Policy recommendations include accelerating the adoption of the"unified urban-rural tier"model and further refining the urban-rural resident health insurance system.

The purpose of this study is to develop a shark single domain antibody(SdAb)targeting a unique B cell epitope in the SARS-CoV-2 spike protein,and explore its role in the immunological detection targeting SARS-CoV-2 spike protein S.A u-nique peptide S9 was artificially synthesized based on the sequence of a unique B cell epitope of SARS-CoV-2 spike protein,then it was conjugated to the carrier protein KLH.It was used as an immunogen for subcutaneous injection into shark back and boosted according to the standard immunization protocol.Blood collected from shark tail vein and peripheral blood lymphocytes(PBL)were isolated.Total RNA was purified from PBL and transcribed to cDNA by reverse transcription.Shark vNAR frag-ments were amplified from cDNA templates and cloned into pComb3XSS vector to obtain phage library.A positive clone named T01 was obtained through screening the phage library by indirect ELISA.Then its gene was cloned into the expression vector pET-28a.The SdAb T01 was then prokaryotically expressed and purified,and its specific recognition of the SARS-CoV-2 spike protein S was indentified by Western-blot(WB),indirect ELISA and IF A.T01 binds well with peptide S9 at EC50 value of 2.050±0.064 nmol/L.The purified SdAb T01 was proven by WB to be able to selectively detect recombinant spike protein sub-unit 1(S1)of SARS-CoV-2,with no cross-reactive to recombinant spike protein subunit 1 of other six human coronavirus.It was showed by ELISA that SdAb T01 can sensitively detect the recombinant N terminal domain(NTD)of SARS-CoV-2 pro-tein.Moreover,it also specifically recognizes the spike protein of SARS-CoV-2 that was transiently expressed in transfected HEK293 cells by IFA.Therefore,a shark single domain antibody targeting a unique B cell epitope in the spike protein of SARS-CoV-2 was successfully developed,and has shown potential immunodiagnostic value by WB,ELISA and IFA.Thus,it provides an effective tool for unique antigen detection of SARS-CoV-2.

Objective To investigate the risk factors of peri-operative hidden blood loss in the artificial femoral head replacement.Methods Retrospective analysis was conducted on the clinical data of 106 patients who underwent artificial femoral head replacement in our hospital from January 2019 to August 2022.The peri-operative hidden blood loss was calculated according to Gross equation.The peri-operative condition of the patients was counted.The univariate analysis was used to determine the factors related with peri-operative hidden blood loss.Indicators with statistically significant differences in univariate analysis were included in the multivariate Logistic regression analysis model to screen out the independent risk factors for peri-operative hidden blood loss.Results The mean hemoglobin levels before surgery and 72 hours after surgery were(103.44±15.67)g/L and(85.65±14.53)g/L respectively,with a statistically significant difference between them(t=16.650,P<0.05).The mean peri-operative hidden blood loss was(262.43±85.79)mL.There were 94 patients with anemia,with an incidence of 88.68%.Twenty-nine patients received blood transfusions,with an transfusion rate of 27.36%.The univariate analysis showed that peri-operative hidden blood loss was related to age,fracture type,time from injury to surgery,preoperative anticoagulation(P<0.05).Multivariate Logistic regression analysis revealed that age≥80 years old,intertrochanteric femur fracture,time from injury to surgery≥5 days,and preoperative anticoagulation were independent risk factors for peri-operative hidden blood loss in artificial femoral head replacement(P<0.05).Conclusion Peri-operative hidden blood loss in artificial femoral head replacement is affected by a variety of factors,and its risk factors include age≥80 years old,intertrochanteric femur fracture,time from injury to surgery≥5 days,and preoperative anticoagulation.Patients with the above symptoms should be paid clinical attention and intervention should be initiated as early as possible to avoid peri-operative hidden blood loss and improve the prognosis of patients.

Objective:To investigate the correlation of intracranial arterial calcification (IAC) and its different subtypes with the severity of white matter hyperintensities (WMHs) in patients with cerebral small vessel disease (CSVD).Methods:Consecutive CSVD patients admitted to the Department of Neurology, the First Affiliated Hospital of Zhengzhou University from March 2018 to March 2022 were enrolled. Baseline demographic, laboratory, and imaging data were collected. Based on a developed and validated IAC grading scale using head CT, IAC was classified into intimal and medial types, and further categorized as focal or diffuse based on the extent of involvement. The severity of WMHs on magnetic resonance imaging was assessed using the Fazekas Scale, with patients divided into those with moderate-to-severe (total score>2) and non-moderate-to-severe WMHs (total score≤2). Subgroups were stratified based on baseline characteristics (patients′ sex, age, hypertension history, stroke history, diabetes, coronary heart disease, hyperlipidemia, smoking, and alcohol consumption). Multivariate Logistic regression was used to analyze the correlation between IAC′s subtypes and the severity of WMHs, with forest plots illustrating the interaction between medial IAC and subgroup variables.Results:A total of 490 patients with CSVD who met the inclusion and exclusion criteria were ultimately included, with a age of (60.88±10.99) years, including 162 females (33.1%). Moderate-to-severe WMHs were present in 245 patients (50.0%). Among the 490 CSVD patients, 395 (80.6%) had IAC, including 335 (68.4%) with intimal IAC and 207 (42.2%) with medial IAC. Diffuse IAC was observed in 126 patients (25.7%), all of whom had medial IAC. Intracranial arterial stenosis was present in 271 patients (55.3%). Multivariate Logistic regression showed that IAC ( OR=2.073, 95% CI 1.142-3.761, P=0.016) was significantly associated with moderate-to-severe WMHs and medial IAC ( OR=3.230, 95% CI 1.800-5.797, P<0.001) and advanced age ( OR=1.046, 95% CI 1.019-1.074, P=0.001) were significantly associated with moderate-to-severe WMHs. Subgroup analysis revealed medial IAC had no significant interaction with patients′ gender, age, hypertension, diabetes, coronary heart disease, hyperlipidemia, alcohol or smoking consumption except for stroke history. Conclusion:In the CSVD patients, IAC, especially medial IAC, is significantly associated with the severity of WMHs.

Objective:To assess the impact of urban-rural health insurance integration on the non-agricultural employment of rural labor in China.Methods:Using CHFS data(2011-2019)and a DID model,this study analyzed the impact on non-agricultural employment probability and quality(wage income,job stability)and examined the effect of different integration models.Results:The integration of urban and rural health insurance significantly increases the probability and quality of non-agricultural employment among rural labor.This effect operates through three key mechanisms:easing household liquidity constraints,improving health-related human capital,and expanding job search scope.Moreover,the"unified urban-rural tier"model proves more effective than the"one-system-multi-tiers"model in promoting non-agricultural employment and enhancing job quality.Conclusion:The integration positively contributes to improving rural labor allocation efficiency and mobilizing surplus rural labor capacity.Policy recommendations include accelerating the adoption of the"unified urban-rural tier"model and further refining the urban-rural resident health insurance system.

The purpose of this study is to develop a shark single domain antibody(SdAb)targeting a unique B cell epitope in the SARS-CoV-2 spike protein,and explore its role in the immunological detection targeting SARS-CoV-2 spike protein S.A u-nique peptide S9 was artificially synthesized based on the sequence of a unique B cell epitope of SARS-CoV-2 spike protein,then it was conjugated to the carrier protein KLH.It was used as an immunogen for subcutaneous injection into shark back and boosted according to the standard immunization protocol.Blood collected from shark tail vein and peripheral blood lymphocytes(PBL)were isolated.Total RNA was purified from PBL and transcribed to cDNA by reverse transcription.Shark vNAR frag-ments were amplified from cDNA templates and cloned into pComb3XSS vector to obtain phage library.A positive clone named T01 was obtained through screening the phage library by indirect ELISA.Then its gene was cloned into the expression vector pET-28a.The SdAb T01 was then prokaryotically expressed and purified,and its specific recognition of the SARS-CoV-2 spike protein S was indentified by Western-blot(WB),indirect ELISA and IF A.T01 binds well with peptide S9 at EC50 value of 2.050±0.064 nmol/L.The purified SdAb T01 was proven by WB to be able to selectively detect recombinant spike protein sub-unit 1(S1)of SARS-CoV-2,with no cross-reactive to recombinant spike protein subunit 1 of other six human coronavirus.It was showed by ELISA that SdAb T01 can sensitively detect the recombinant N terminal domain(NTD)of SARS-CoV-2 pro-tein.Moreover,it also specifically recognizes the spike protein of SARS-CoV-2 that was transiently expressed in transfected HEK293 cells by IFA.Therefore,a shark single domain antibody targeting a unique B cell epitope in the spike protein of SARS-CoV-2 was successfully developed,and has shown potential immunodiagnostic value by WB,ELISA and IFA.Thus,it provides an effective tool for unique antigen detection of SARS-CoV-2.

Breast cancer(BRCA)remains one of the leading causes of cancer-related deaths worldwide due to its high rates of metastasis and recurrence,making it crucial to explore its underlying molecular mechanisms.Our previous study demonstrated that miR-326 inhibits BRCA progression by targeting EPH receptor B3(EPHB3).This study further explores the molecular mechanism by which long non-coding RNAs(LncRNAs)regulates BRCA progression via the competing endogenous RNA(ceRNA)mecha-nism,in which it competes with EPHB3 for miR-326 binding.Bioinformatics analysis identified LncRNA Small Nucleolar RNA Host Gene 12(SNHG12)as a potential miR-326-binding molecule.SNHG12 was found to be significantly upregulated in BRCA tissues,exhibiting a negative correlation trend with miR-326 and a positive correlation trend with EPHB3,suggesting its potential involvement in the ceRNA regu-latory network.Nuclear-cytoplasmic fractionation assays revealed cytoplasmic localization of SNHG12,while dual-luciferase reporter assays confirmed its direct binding to miR-326.Functional experiments demonstrated that SNHG12 knockdown significantly suppressed BRCA cell proliferation,invasion,and migration,while miR-326 inhibition reversed these effects.Furthermore,miRNA pulldown assay re-vealed significant enrichment of SNHG12 and EPHB3 in the miR-326 pulldown products,indicating di-rect binding between them.Western blotting and rescue experiments revealed that SNHG12 upregulates EPHB3 expression by sponging miR-326,thereby promoting the malignant behaviors of BRCA cells.Col-lectively,this study revealed that LncRNA SNHG12 promotes BRCA progression by regulating the miR-326/EPHB3 axis through a ceRNA mechanism.The SNHG12/miR-326/EPHB3 pathway may represent a promising target for the molecular diagnosis and targeted therapy of BRCA.