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 assess the value of a model based on helicobacter pylori(Hp)status and peripheral blood levels of pepsinogen Ⅰ(PGⅠ),PGⅡ,and gastrin-17(G-17)for predicting disease progression in high-risk populations for gastric cancer.Methods:Retrospective se-lection of clinical data from 126 high-risk individuals for gastric cancer who underwent PGⅠ,PGⅡ,G-17,and C14 urea breath tests and gastro-scopy tissue biopsy at Tianjin University Jinnan Hospital from January 2023 to January 2024,Based on pathological biopsy results using gast-ric cancer tissues obtained by gastroscopy,the high-risk population for gastric cancer was assigned into normal control,precancerous lesion,and early gastric cancer groups.The diagnostic efficacies of PGⅠ,PGⅡ,G-17,C14 urea breath,and other indicators in each patient group were determined,and a predictive model was constructed.Results:The HP-positivity rate(82.35％)and PGⅡ level(22.73 ng/mL)in the early gastric cancer group were higher than those in the precancerous lesion and control groups.The PGI level(51.36 ng/mL)was lower in early gastric cancer than in precancerous lesions and control tissues.The G-17 level(5.17 pmol/L)was lower in the precancerous lesion group than in the control and early gastric cancer groups(P<0.05).Combined use of PGⅠ、PGⅡ、G-17and Hp,the area under curve(AUC)can reach 0.899,a sensitivity of 94.12％,and a specificity of 95.65％,making these factors ideal diagnostic tools for gastric cancer.According to the prediction model,the threshold for precancerous lesions was 10 points,and the critical value for early cancer was 19 points.Conclu-sions:Implementation of the C14 urea breath test combined with PGⅠ,PGⅡ,and G-17 detection in high-risk populations for gastric cancer can help monitor disease progression in high-risk populations for gastric cancer.

OBJECTIVETo investigate the effect of premature rupture of the membrane (PROM) on neonatal complications in premature infants.

METHODSThe registration information of 7684 preterm infants with gestational age <37 weeks were collected from the cooperative units in the task group between January 1, 2014 to December 31, 2014. Specially trained personnel from each cooperative units filled in the unified form in a standardized format to record the gender, gestational age, birth weight, PROM, placental abruption, antenatal corticosteroid, Apgar score, amniotic fluid pollution, and complications of the infants. The data were analyzed comparatively between the cases with PROM and those without (control).

RESULTSThe preterm mortality rate was significantly lower but the incidences of ICH, NEC, ROP and BPD were significantly higher in PROM group than in the control group (P<0.05). The 95% confidence interval of the OR value was <1 for mortality, and was >1 for ICH, NEC, ROP and BPD. After adjustment for gestational age, birth weight, gender, mode of delivery, placental abruption, placenta previa, prenatal hormones, gestational diabetes mellitus (GDM), gestational period hypertension and 5-min Apgar score <7, the incidences of NEC, ROP and BPD were significantly different between the two groups (P<0.05) with 95% confidence interval of OR value >1, but the mortality rate and incidence of ICH were not significantly different between the two groups (P>0.05).

CONCLUSIONPROM is a risk factor for NEC, ROP and BPD in preterm infants, and adequate intervention of PROM can reduce the incidences of such complications as NEC, ROP and BPD in the infants.

Apgar Score ; Birth Weight ; Female ; Fetal Membranes, Premature Rupture ; pathology ; Gestational Age ; Humans ; Incidence ; Infant, Newborn ; Infant, Newborn, Diseases ; etiology ; Infant, Premature ; Pregnancy ; Risk Factors

The aim of this study was to investigate the relationship between the acetylcholine concentration in the blood and gelsenicine-induced death in mice. Kunming mice were given intraperitoneal injections of normal saline, gelsenicine or different doses of acetylcholine chloride. Atropine was given to the mice which received gelsenicine or medium dose acetylcholine chloride injection. The blood was sampled immediately when the mice died or survived for 20 min after injection. The acetylcholine concentration and acetylcholinesterase activity in the blood were measured by the testing kits, and the mortality was calculated and analyzed. The results showed that half lethal dose of gelsenicine (0.15 mg/kg) reduced the acetylcholinesterase activity and increased the blood acetylcholine concentration. The blood acetylcholine concentration of the dead mice in the gelsenicine group was increased to 43.0 μg/mL (from 31.1 μg/mL in the control), which was lower than that (53.9 μg/mL) of the dead mice in the medium dose acetylcholine chloride group, but almost equal to that (42.7 μg/mL) of the survival mice in the medium dose acetylcholine chloride group. Atropine could successfully rescue the mice from acetylcholine poisoning, but its efficiency of rescuing the mice from gelsenicine intoxication was weak. These results suggest that gelsenicine can inhibit acetylcholinesterase activity and increase blood acetylcholine concentration, but the accumulation of acetylcholine may not be the only or main cause of the death induced by gelsenicine in mice.
Acetylcholine ; Animals ; Death ; Indole Alkaloids ; Mice

Armand clematis stem (Clematidis Armandii Caulis, Chuanmutong) is a widely used Chinese herb to disinhibit urine and relieve stranguria. It is difficult to be identified owing to its various macroscopic feature and unknown characteristic compounds. Thus, total of 24 Chuanmutong samples and 7 related herbs including four manshurian aristolochia stem (Aristolochiae Manshuriensis Caulis, Guanmutong) and three akebia stem (Akebiae Caulis, Mutong) samples were collected and analyzed in the range of 4 000 - 400 cm⁻¹ by Fourier Transform Infrared (FTIR) and two-dimensional infrared correlation spectroscopy (2D-FTIR) techniques. The FTIR spectra of 24 Chuanmutong samples are consistent in the spectrum profiles, position and intensity of characteristic peaks. 20 of the 24 Chuanmutong samples were randomly selected as calibration samples to calculate and simulate mean spectrum. This mean spectrum is named as FTIR fingerprint of Chuanmutong with characteristic peaks at 3 412, 2 932, 1 739, 1 639, 1 509, 1 456, 1 426, 1 376, 1 332, 1 261, 1 159, 1 035, 897 ,609 cm⁻¹. Meanwhile, the limited level (Mean-3σ=0.992 6) to identify true or false Chuanmutong by correlation coefficient of FTIR spectra was calculated based on the 20 Chuanmutong calibration samples. Then, the rest 4 Chuanmutong, 4 Guanmutong and 3 Mutong samples were used as validation samples to evaluate the identification efficacy. The result shows that the FTIR spectra of 4 Chuanmutong validation samples were similar to the fingerprint. Their correlation coefficients of FTIR spectra were over the limited level and accepted as Chuanmutong. However, the spectra of Guanmutong and Mutong were significantly different from Chuanmutong fingerprint. The correlation coefficients of Guanmutong (0.902 1-0.940 4, n=4) and Mutong (0.954 9-0.978 9, n=3) FTIR spectra were less than the limited level and rejected from Chuanmutong. Furthermore, the number, position and intensity of auto-peaks on the 2D-FTIR were drastically different among the three herbs. It is concluded that the developed FTIR fingerprinting can be rapidly and accurately identify Chuanmutong and differentiate from related herbs.

Objective To elucidate the pharmacokinetic/pharmacody-namic ( PK/PD ) parameters that predict tebipenem pivoxil efficacy against Klebsiella pneumoniae in murine lung infection model. Methods The minimal inhibitory concentration ( MIC ) of tebipenem pivoxil against Klebsiella pneumoniae was determined by standard two-fold agar dilution method.Three doses of 50, 15 and 3mg? kg-1 were given to lung infection models, respectively.The bacterial burden in lung was measured 24 hours after the initiation of treatment and the concentra-tion in plasma was determined by high performance liquid chromatogra-phy ( HPLC) .Results The MIC value was 0.03 μg? mL-1 .Three doses all showed effects on murine lung infection model.Three PK/PD parameters correlated with efficacy of tebipenem pivoxil were AUC/MIC ( r =0.78 ) , Cmax/MIC ( r =0.76 ) , and T >MIC ( r =0.46 ) . Conclusion PK/PD study indicates AUC/MIC and Cmax/MIC are PK/PD parameters, well correlated with the efficacy of tebipenem pivoxil against Klebsiella pneumoniae in murine lung infection model.

Clinical breakpoints are used in phaseⅡorⅢclinical trials to categorize microorganisms if susceptibility to new tested antibacterial agents that means the patient infected by the pathogen will be enrolled the study or not.The role of this consensus is to define procedure and required data to setting breakpoints and how to revaluate it in clinical trials.

Objective To evaluate the effect of self -efficacy training on hemiplegic patients after ischemic stroke. Methods Sixty cases were randomly divided into control group (n =30 )and self -efficacy training group (n =30).The self -efficacy group received rehabilitation training according to the self -efficacy theory (5 times /week, 40 min /per time,1 0 weeks of intervention).The movement and balance function were evaluated using Fugl -Meyer score (FMA)and the activities of daily living were evaluated by the task analysis scale and Barthel index.The self -efficacy level and quality of life were evaluated by the general self -efficacy scale (GSES)and medical outcomes study (SF -36).Results The scores of FMA,Barthel,SF -36 and GSES had no significant differences between the two groups before training (P >0.05 )and all indexes improved after training.Six scores of Barthel and all scores of FMA,SF -36 and GSES of self -efficacy group were significantly higher than those of control group after training (all P <0.05 ).Conclusion Self -efficacy application could improve the motor function on the rehabilitation of hemiplegic patients after ischemic stroke.

Objective To construct the head nurses performance evaluation system in order to measure their performance fairly and equitably and to enhance their responsibility,crisis and sense of competition.Methods Many methods were used such as the balanced scorecard four elements were used to construct the basic framework of the performance evaluation system and Delphi method was used to determine the various index,analytic hierarchy process was used to identify the index of value at all levels.Results Two wheels consultation were used and the enthusiasm of experts was high with the coefficient was 88％ and authoritative coefficient was 0.76.Four primary indexes of performance evaluation system were consisted,such as finance,client,interior process,learn and study. It included sixteen secondary indexes,such as nursing service projects,nursing equipments,patients and families,nurses,doctors,and so on.Conclusions Performance evaluation system construction of head nurses based on the Delphi method can measure their performance fairly and equitably and it is worth to applyingin nursing.