Biochemistry,as a fundamental course for science and engineering majors related to biology and chemistry,holds a significant position in the curriculum.The course team at Dalian Minzu University is committed to teaching innovation,adopting the outcome-based education(OBE)concept for teaching de-sign and incorporating ideological and political elements,in order to achieve the dual goals of knowledge transmission and value guidance.The team has established a three-dimensional teaching goal of"knowl-edge,morality,and ability",covering"consolidating core knowledge,cultivating moral sentiment,and enhancing innovation ability".Through a multi-dimensional integrated teaching method of"three integra-tions and five combinations",multiple rounds of teaching practice have been carried out in the applied chemistry major using"classification and specificity of enzyme"as an example.The output of teaching re-sults and survey questionnaires show that students highly recognize the teaching design and its"process-based learning"evaluation method,fully reflecting the student-centered teaching idea.Research has shown that OBE design combined with ideological and political elements can effectively promote students' knowl-edge acquisition,moral growth,and innovation ability improvement in the course of Biochemistry.This teaching design not only helps students construct correct worldviews,outlooks on life,and values,but also significantly enhances their innovative thinking and practical abilities.This teaching design can not only ef-fectively improve the teaching quality of the course,but also provide new perspectives and ideas for the teaching design of Biochemistry,realizing the organic integration of professional knowledge imparting and i-deological and political education,and has certain innovation and practical significance.

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.

Since the promulgation of the first Drug Administration Law of the People's Republic of China 40 years ago in 1984, China has undergone four main stages in the traditional Chinese medicine(TCM) regulation: the initial establishment of TCM regulation rules(1984-1997), the formation of a modern TCM regulatory system(1998-2014), the reform of the review and approval system for new TCM drugs(2015-2018), and the construction of a scientific regulation system for TCM(2019-2024). Over the past five years, a series of milestone achievements of TCM regulation in China have been achieved in the six aspects, including its strategic objectives and the establishment of a science-based regulatory system, the reform of the review and approval system for new TCM drugs, the optimization and improvement of the TCM standard system and its formation mechanism, comprehensive enhancement of regulatory capabilities for TCM safety, international harmonization of TCM regulation and its role in promoting innovation. Looking ahead, centered on advancing TCMRS to establish a sound regulatory framework tailored to the unique characteristics of TCM, TCM regulation will evolve into new reform patterns, advancing and extending across eight critical fronts, including the legal framework and policy architecture, the review and approval system for new TCM drugs, the quality standard and management system of TCM, the comprehensive quality & safety regulation and traceability system, the research and transformation system for TCMRS, AI-driven innovations in TCM regulation, the coordination between high-quality industrial development and high-level regulation, and the leadership in international cooperation and regulatory harmonization. In this way, a unique path for the development of modern TCM regulation with Chinese characteristics will be pioneered.
Humans ; China ; Drugs, Chinese Herbal/standards* ; History, 20th Century ; History, 21st Century ; Medicine, Chinese Traditional/trends*

Objective:To explore the clinical application value of multimodal Magnetic Resonance Imaging(MRI)in cognitive impairment related to Cerebral Small Vessel Disease(CSVD).Methods:This study was a retrospective analysis of 60 CSVD patients,who were divided into cognitive impairment group(n=32)and normal group(n=28)based on Montreal Cognitive Assessment scale(MoCA).Compare the general information and MRI parameters of two groups of patients,use correlation analysis and logistic regression analysis to investigate the relationship between MRI parameters and cognitive dysfunction,and use receiver operating characteristic curve(ROC)to explore the value of MRI parameters in diagnosing cognitive dysfunction in cerebral small vessel disease.Results:Compared with the cognitively normal group,the cognitive impairment group had older age,higher apparent diffusion coefficient(ADC),lower anisotropy score(FA),and an overall increase in microbleeds(P＜0.05).Age(r=-0.510),ADC value(r=-0.591),and overall number of microbleeds(r=-0.369)were significantly negatively correlated with MoCA score(P＜0.05),while FA value(r=0.262)was significantly positively correlated with MoCA score(P＜0.05).The logistic regression results indicate that age,overall microbleeds,ADC value,and FA value are influencing factors for cognitive impairment in patients with cerebral small vessel disease.ROC curve analysis showed that the combination of age,ADC,FA,and microbleeds significantly improved diagnostic efficacy(AUC=0.990,95％CI=0.974-1.000).Conclusion:The joint analysis of multimodal MRI parameters can provide important imaging evidence for the early identification of cognitive dysfunction in CSVD.

Objective:To explore the clinical application value of multimodal Magnetic Resonance Imaging(MRI)in cognitive impairment related to Cerebral Small Vessel Disease(CSVD).Methods:This study was a retrospective analysis of 60 CSVD patients,who were divided into cognitive impairment group(n=32)and normal group(n=28)based on Montreal Cognitive Assessment scale(MoCA).Compare the general information and MRI parameters of two groups of patients,use correlation analysis and logistic regression analysis to investigate the relationship between MRI parameters and cognitive dysfunction,and use receiver operating characteristic curve(ROC)to explore the value of MRI parameters in diagnosing cognitive dysfunction in cerebral small vessel disease.Results:Compared with the cognitively normal group,the cognitive impairment group had older age,higher apparent diffusion coefficient(ADC),lower anisotropy score(FA),and an overall increase in microbleeds(P＜0.05).Age(r=-0.510),ADC value(r=-0.591),and overall number of microbleeds(r=-0.369)were significantly negatively correlated with MoCA score(P＜0.05),while FA value(r=0.262)was significantly positively correlated with MoCA score(P＜0.05).The logistic regression results indicate that age,overall microbleeds,ADC value,and FA value are influencing factors for cognitive impairment in patients with cerebral small vessel disease.ROC curve analysis showed that the combination of age,ADC,FA,and microbleeds significantly improved diagnostic efficacy(AUC=0.990,95％CI=0.974-1.000).Conclusion:The joint analysis of multimodal MRI parameters can provide important imaging evidence for the early identification of cognitive dysfunction in CSVD.

Biochemistry,as a fundamental course for science and engineering majors related to biology and chemistry,holds a significant position in the curriculum.The course team at Dalian Minzu University is committed to teaching innovation,adopting the outcome-based education(OBE)concept for teaching de-sign and incorporating ideological and political elements,in order to achieve the dual goals of knowledge transmission and value guidance.The team has established a three-dimensional teaching goal of"knowl-edge,morality,and ability",covering"consolidating core knowledge,cultivating moral sentiment,and enhancing innovation ability".Through a multi-dimensional integrated teaching method of"three integra-tions and five combinations",multiple rounds of teaching practice have been carried out in the applied chemistry major using"classification and specificity of enzyme"as an example.The output of teaching re-sults and survey questionnaires show that students highly recognize the teaching design and its"process-based learning"evaluation method,fully reflecting the student-centered teaching idea.Research has shown that OBE design combined with ideological and political elements can effectively promote students' knowl-edge acquisition,moral growth,and innovation ability improvement in the course of Biochemistry.This teaching design not only helps students construct correct worldviews,outlooks on life,and values,but also significantly enhances their innovative thinking and practical abilities.This teaching design can not only ef-fectively improve the teaching quality of the course,but also provide new perspectives and ideas for the teaching design of Biochemistry,realizing the organic integration of professional knowledge imparting and i-deological and political education,and has certain innovation and practical significance.

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 rodent species in the southern Fujian ports of China and investigate the natural pathogens they carry. Methods Rodents were captured using night-trapping and cage method across 17 port areas in southern Fujian in 2023. Morphological identification was performed to classify the captured specimens. Tissues from the liver, spleen, lungs, kidneys, and bladder were harvested for nucleic acid extraction. Nested and conventional PCR method were used to detect seven pathogens: Yersinia pestis, Hantavirus, pathogenic Leptospira, Borrelia burgdorferi, Bartonella, Orientia tsutsugamushi, and Anaplasma phagocytophilum. The Chi-square test was used to analyze the distribution of rodents and the status of natural pathogen infections across the study sites. Results A total of 161 rodents across five species belonging to two orders, two families, and three genera were captured. Suncus murinus was the dominant species(72.67 %), followed by Rattus tanezumi(13.04 %). Six pathogens were detected, with an overall positivity rate of 18.01%. Bartonella had the highest positivity rate(11.18%), followed by pathogenic Leptospira(4.97%), Borrelia burgdorferi(2.48%), Orientia tsutsugamushi(1.86%), Seoul virus(1.24%), and Anaplasma phagocytophilum(0.62%). Co-infections were noted in five rodents, representing 17.24% of those that tested positive, and one rodent was infected with four pathogens. No Y. pestis or Hantaan virus was detected in the captured rodents. Conclusions The rodents in the southern Fujian ports are naturally infected with multiple pathogens, including Bartonella, pathogenic Leptospira, and Seoul virus. Enhanced monitoring of rodent populations and the implementation of preventive and control measures for rodent-borne diseases are essential.

Objective:To evaluate the efficacy of acute T-cell lymphoblastic leukemia(T-ALL)in children and explore the prognostic risk factors.Methods:The clinical data of 127 newly diagnosed children with T-ALL admitted to five hospitals in Fujian province from April 2011 to December 2020 were retrospectively analyzed,and compared with children with newly diagnosed acute precursor B-cell lymphoblastic leukemia(B-ALL)in the same period.Kaplan-Meier analysis was used to evaluate the overall survival(OS)and event-free survival(EFS),and COX proportional hazard regression model was used to evaluate the prognostic factors.Among 116 children with T-ALL who received standard treatment,78 cases received the Chinese Childhood Leukemia Collaborative Group(CCLG)-ALL 2008 protocol(CCLG-ALL 2008 group),and 38 cases received the China Childhood Cancer Collaborative Group(CCCG)-ALL 2015 protocol(CCCG-ALL 2015 group).The efficacy and serious adverse event(SAE)incidence of the two groups were compared.Results:Proportion of male,age ≥ 10 years old,white blood cell count(WBC)≥ 50 × 109/L,central nervous system leukemia,minimal residual disease(MRD)≥ 1％during induction therapy,and MRD ≥ 0.01％at the end of induction in T-ALL children were significantly higher than those in B-ALL children(P＜0.05).The expected 10-year EFS and OS of T-ALL were 59.7％and 66.0％,respectively,which were significantly lower than those of B-ALL(P＜0.001).COX analysis showed that WBC ≥ 100 x 109/L at initial diagnosis and failure to achieve complete remission(CR)after induction were independent risk factors for poor prognosis.Compared with CCLG-ALL 2008 group,CCCG-ALL 2015 group had lower incidence of infection-related SAE(15.8％vs 34.6％,P=0.042),but higher EFS and OS(73.9％vs 57.2％,PEFS=0.090;86.5％vs 62.3％,PoS=0.023).Conclusions:The prognosis of children with T-ALL is worse than children with B-ALL.WBC ≥ 100 × 109/L at initial diagnosis and non-CR after induction(especially mediastinal mass has not disappeared)are the risk factors for poor prognosis.CCCG-ALL 2015 regimen may reduce infection-related SAE and improve efficacy.

Objective:To analyze the related factors of treatment failure in children with acute lymphoblastic leukemia (ALL)in real-world.Methods:The clinical data of 1414 newly diagnosed children with ALL admitted to five hospital in Fujian province from April 2011 to December 2020 were retrospectively analyzed.Treatment failure was defined as relapse,non-relapse death,and secondary tumor.Results:Following-up for median time 49.7 (0.1-136. 9)months,there were 269 cases (19.0％)treatment failure,including 140 cases (52.0％)relapse,and 129 cases (48.0％)non-relapse death.Cox univariate and multivariate analysis showed that white WBC≥50 ×109/L at newly diagnosis,acute T-cell lymphoblastic leukemia (T-ALL),BCR-ABL1,KMT2A-rearrangement and poor early treatment response were independent risk factor for treatment failure (all HR>1.000,P<0.05).The 5-year OS of 140 relapsed ALL patients was only 23.8％,with a significantly worse prognosis for very early relapse (relapse time within 18 months of diagnosis).Among 129 patients died from non-relapse death,71 cases (26.4％)were died from treatment-related complications,56 cases (20.8％)died from treatment abandonment,and 2 cases (0.7％)died from disease progression.Among them,treatment-related death were significantly correlated with chemotherapy intensity,while treatment abandonment were mainly related to economic factors.Conclusion:The treatment failure of children with ALL in our province is still relatively high,with relapse being the main cause of treatment failure,while treatment related death and treatment abandonment caused by economic factors are the main causes of non-relapse related death.