Genetics,which provides important theoretical knowledge for the cultivation of students majo-ring in biology,is a discipline that studies the law of biological heredity and variation.In the era of high-ly advanced information technology,the blended online and offline teaching model has progressively been integrated into university classrooms,which seamlessly merges offline teaching with"Internet+"and greatly improves the outcomes and effectiveness of student learning and teacher instruction.Taking the genetics course as a platform,this paper first examines the complementary features of online and offline teaching methods.Then,the genetic teaching model that was carried out through various online platforms and resources were designed and optimized from purely online instruction and blended online-offline in-struction respectively.The assessment and evaluation methodologies were also enhanced.The findings of the investigation on the impact of teaching practices showed that a notable enhancement in students'en-thusiasm for learning genetic courses was achieved.This was reflected in the fact that an increasing num-ber of students selected genetic-related topics in science and innovation competitions.Meanwhile,com-pared with the non-implementation of blended teaching reform,students'academic performance in genet-ics courses has also been significantly improved,with a total score of about 5-6 points.The implementa-tion of the innovative blended teaching model will further enhance the efficiency of classroom teaching in-novation and talent training.

Objective To observe the effects of Yixintai on lipid metabolism and the protein expressions of CPT-1 and CD36 in rats with heart failure;To explore the mechanism of its treatment of heart failure.Methods 106 out of 120 SD rats were selected to establish the heart failure model induced by myocardial infarction by ligating the left anterior descending coronary artery,and 14 rats were selected as the sham-operation group.The successful model rats were randomly divided into model group,trimetazidine group and Yixintai low-,medium-and high-dosage groups,with 14 rats in each group.The administration group was given corresponding drugs by gavage once a day for 4 weeks.LVEF,LVFS,LVIDd and LVIDs were measured by color doppler ultrasonography,the contents of ANP,BNP,LA and FFA in serum were detected by ELISA,the contents of TG,TC,LDL and HDL were detected by automatic biochemical analyzer,HE and Masson staining were used to observe the morphology of myocardial tissue,the expressions of CPT-1 and CD36 protein in myocardial tissue were detected by Western blot.Results Compared with the sham-operation group,LVEF and LVFS in the model group decreased(P<0.05),the LVIDs and LVIDd increased(P<0.05);the contents of serum ANP,BNP,LA,FFA,TG,TC and LDL increased(P<0.05),while the content of HDL decreased(P<0.05),with myocardial edema,irregular arrangement of myocardial fibers,increased inflammatory cell infiltration and collagen fiber deposition;the protein expressions of CPT-1 and CD36 in myocardial tissue decreased(P<0.05).Compared with the model group,the LVEF and LVFS in Yixintai each dosage groups and trimetazidine group increased(P<0.05),LVIDs and LVIDd decreased(P<0.05);the contents of ANP,BNP,LA,FFA,TG,TC and LDL in serum of Yixintai medium-and high-dosage groups and trimetazidine group decreased(P<0.05),the content of HDL increased(P<0.05);myocardial edema was improved,inflammatory cell infiltration was reduced,collagen fiber deposition was reduced,and the protein expressions of CPT-1 and CD36 in myocardial tissue increased(P<0.05).Conclusion Yixintai may improve myocardial energy metabolism and treat heart failure by increasing the expression of CPT-1 and CD36 protein in myocardial tissue and promoting fatty acid β oxidation.

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 applied the grading of recommendations assessment, development and evaluation(GRADE) system and the integrated evidence chain-based effectiveness evaluation of traditional Chinese medicine(Eff-iEC) to evaluate the evidence for 12 commonly used Chinese patent medicines for the treatment of osteoporosis, which are frequently recommended in guidelines or expert consensuses. The results showed that Xianling Gubao Capsules/Tablets were rated as C(low-level evidence) according to the GRADE system, and as BA~+B~+(intermediate evidence) according to the Eff-iEC system. Jintiange Capsules were rated as C(low-level evidence) by the GRADE system, and as AA~+B(high-level evidence) by the Eff-iEC system. Gushukang Granules/Capsules were rated as C(low-level evidence) by GRADE system, and as BA~+B~+(intermediate evidence) by Eff-iEC system. Zuogui Pills were rated as C(low-level evidence) by GRADE system, and as AA~(++)B~+(high-level evidence) by Eff-iEC system. Qianggu Capsules were rated as D(extremely low-level evidence) by GRADE system, and as AA~+B~+(high-level evidence) by Eff-iEC system. Zhuanggu Zhitong Capsules were rated as D(extremely low-level evidence) by GRADE system, and as BA~+B(intermediate evidence) by Eff-iEC system. Jingui Shenqi Pills were rated as D(extremely low-level evidence) by GRADE system, and as AA~+B(high-level evidence) by Eff-iEC system. Quanduzhong Capsules were rated as D(extremely low-level evidence) by GRADE system, and as AD~+B~+(low-level evidence) by Eff-iEC system. Epimedium Total Flavones Capsules were rated as D(extremely low-level evidence) by GRADE system, and as AAB~+(high-level evidence) by Eff-iEC system. Yougui Pills were rated as D(extremely low-level evidence) by GRADE system, and as AA~(++)B~(+ )(high-level evidence) by Eff-iEC system. Qigu Capsules were rated as D(extremely low-level evidence) by GRADE system, and as BB~+B(intermediate evidence) by Eff-iEC system. Liuwei Dihuang Pills were rated as C(low-level evidence) by GRADE system, and as AA~(++)B~+(high-level evidence) by Eff-iEC system. Overall, the Eff-iEC system provides a more comprehensive assessment of the effectiveness evidence for traditional Chinese medicine(TCM) than the GRADE system. However, it still has certain limitations that hinder its wider promotion and application. In terms of clinical evidence evaluation, both the Eff-iEC and GRADE systems reflect that the current clinical research quality on Chinese patent medicines for the treatment of osteoporosis is generally low. High-quality clinical trials are still needed in the future to further validate clinical efficacy.
Drugs, Chinese Herbal/therapeutic use* ; Osteoporosis/drug therapy* ; Humans ; Nonprescription Drugs/therapeutic use* ; Evidence-Based Medicine ; Medicine, Chinese Traditional

Objective To explore the relationship between insulin resistance and idiopathic central precocious puberty(ICPP)in girls and the diagnostic value of insulin resistance.Methods Clinical data of 245 girls aged 4 to 7.5 years with low luteinizing hormone(LH)levels(0.2-0.83 IU/L),normal body weight(body mass index standard deviation score between-2 and+2),and early breast development who visited the Department of Pediatric Endocrinology,Henan Provincial Maternal and Child Health Hospital from January 2022 to March 2025 were retrospectively analyzed.According to the Expert Consensus on the Diagnosis and Treatment of Central Precocious Puberty(2022),patients were assigned to an ICPP group(n=123)or a control group(n=122).Correlations between the homeostasis model assessment of insulin resistance(HOMA-IR)and selected indices were assessed.Multivariable logistic regression was used to evaluate the association between HOMA-IR and ICPP,and the diagnostic performance of various indices for ICPP was evaluated.Results HOMA-IR was higher in the ICPP group than in the control group(P<0.001)and was positively correlated with LH peak(rs=0.467,P<0.05)and the LH peak/FSH peak ratio(rs=0.444,P<0.05).The multivariable logistic regression model including age,BMI,and basal LH showed that HOMA-IR was closely associated with ICPP(OR=2.756,95%CI:1.940-3.913).Receiver operating characteristic curve analysis showed that the areas under the curve for basal LH,HOMA-IR,and their combination in diagnosing ICPP were 0.735,0.735,and 0.805,respectively(P<0.05),and the combined model had a greater area under the curve than either basal LH or HOMA-IR alone(both P<0.05).Conclusions HOMA-IR is closely associated with ICPP in girls with low LH and normal body weight,and combining HOMA-IR with basal LH improves early identification and diagnostic efficiency in this population.

The integration of science and education is not only an important strategy for promoting social progress and technological development,but also a modern form of higher education aiming at cultivating innovative talents.Conducting scientific research training for undergraduate medical students is one of the important ways to cultivate their innovative abilities and comprehensive qualities.Our team proposed a"teaching,science,and ideology trinity"teaching model to comprehensively cultivate students' scientific research comprehensive abilities under the value orientation of ideological and political education by or-ganically integrating molecular biology experimental teaching with the scientific research training of under-graduate medical students.In this teaching activity,taking the experiment of gene polymorphism as an example,our team selected students with research potential from the whole grade and divided them into 4 project groups that were instructed by 4 teachers.The students were trained in the whole process of scien-tific research,including topic selection,project writing,experimental designing,application for research ethics,and project summary.Our team has always adhered to student-contentedness of educational con-cepts to stimulate students' intrinsic motivation throughout the teaching process.Students are the design-ers and implementers of the project,and teachers are only guides and promoters of learning.After this training,students not only became familiar with the writing and implementation of scientific research pro-jects,but also improved their literature reading,experimental designing,experimental skills,and prob-lem-solving abilities.More importantly,this teaching activity also cultivated students' awareness of re-search ethics and academic moral standards.

Genetics,which provides important theoretical knowledge for the cultivation of students majo-ring in biology,is a discipline that studies the law of biological heredity and variation.In the era of high-ly advanced information technology,the blended online and offline teaching model has progressively been integrated into university classrooms,which seamlessly merges offline teaching with"Internet+"and greatly improves the outcomes and effectiveness of student learning and teacher instruction.Taking the genetics course as a platform,this paper first examines the complementary features of online and offline teaching methods.Then,the genetic teaching model that was carried out through various online platforms and resources were designed and optimized from purely online instruction and blended online-offline in-struction respectively.The assessment and evaluation methodologies were also enhanced.The findings of the investigation on the impact of teaching practices showed that a notable enhancement in students'en-thusiasm for learning genetic courses was achieved.This was reflected in the fact that an increasing num-ber of students selected genetic-related topics in science and innovation competitions.Meanwhile,com-pared with the non-implementation of blended teaching reform,students'academic performance in genet-ics courses has also been significantly improved,with a total score of about 5-6 points.The implementa-tion of the innovative blended teaching model will further enhance the efficiency of classroom teaching in-novation and talent training.

The integration of science and education is not only an important strategy for promoting social progress and technological development,but also a modern form of higher education aiming at cultivating innovative talents.Conducting scientific research training for undergraduate medical students is one of the important ways to cultivate their innovative abilities and comprehensive qualities.Our team proposed a"teaching,science,and ideology trinity"teaching model to comprehensively cultivate students' scientific research comprehensive abilities under the value orientation of ideological and political education by or-ganically integrating molecular biology experimental teaching with the scientific research training of under-graduate medical students.In this teaching activity,taking the experiment of gene polymorphism as an example,our team selected students with research potential from the whole grade and divided them into 4 project groups that were instructed by 4 teachers.The students were trained in the whole process of scien-tific research,including topic selection,project writing,experimental designing,application for research ethics,and project summary.Our team has always adhered to student-contentedness of educational con-cepts to stimulate students' intrinsic motivation throughout the teaching process.Students are the design-ers and implementers of the project,and teachers are only guides and promoters of learning.After this training,students not only became familiar with the writing and implementation of scientific research pro-jects,but also improved their literature reading,experimental designing,experimental skills,and prob-lem-solving abilities.More importantly,this teaching activity also cultivated students' awareness of re-search ethics and academic moral standards.

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.