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.

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.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

Objective To analyze the independent influencing factors of intimate partner homicide(IPH)cases,construct an IPH prediction model,and provide a basis for criminal profiling.Methods A total of 476 convicted homicide cases in Guangdong Province from January 1,2014,to December 31,2020,were collected as modeling dataset.They were divided into the IPH group(n=180)and the non-intimate partner homicide(N-IPH)group(n=296)based on whether the offender and victim were intimate partners.Logistic regression was used to build the model,the model was evaluated through the receiver operating characteristic(ROC)curve analysis and a nomogram was drawn.Inter-nal validation was conducted using ten-fold cross-validation method.A total of 126 court judgments from outside Guangdong Province from January 1,2011,to December 31,2020,were randomly col-lected for external validation.Results Through multi-factor Logistic regression analysis,7 variables were ultimately selected for inclusion in the model.The Hosmer-Lemeshow goodness of fit test result of the model was χ2=13.158,P=0.068.The ROC area under the curve(AUC)of the model was 0.939(95%CI:0.919-0.959),the cut-off value was 0.292,the sensitivity was 0.900,and the specificity was 0.865.The calibration curve was close to the ideal curve.The ten-fold cross-validation showed the accuracy of 0.863 and a Kappa value of 0.708.The external validation results showed an AUC of 0.922(95%CI:0.872-0.971),a cut-off value of 0.292,a sensitivity of 0.890,and a specificity of 0.886.The calibration curve tended to the ideal curve.Conclusion The IPH prediction model based on forensic field indicators has good predictive ability,reliable accuracy and stability,and can provide a scientific method for criminal profiling.

Aim To explore the effect of cuminaldehyde in cumin fruit on gastric ulcer and the protective mechanism via establishing the gastric ulcer model of rats was by ethanol injury. Methods Thirty-six male R. norregicus were divided into six groups: control group, model group, omeprazole positive control group and cuminaldehyde low, medium and high dosage groups. After seven days of continuous intragastric administration, the acute gastric ulcer of R. norregicus was tested by absolute alcohol. Gastric ulcer area, inhibition rate, gastric tissue antioxidant activity, serum inflammatory factors and gastric mucosal protective factors were detected in different groups. Results The results showed that cuminaldehyde significantly reduced the area of gastric ulcer and increased the inhibition rate of gastric ulcer. The inhibition rate of cuminaldehyde at high dose group was up to 74.65%, the activities of superoxide dismutase (SOD), catalase (CAT) and glutathione peroxidase (GSH) in gastric tissue significantly increased, and the contents of serum prolandin E

Objective To observe the potential mechanism of electroacupuncture regulating the erythropoietin-producing hepatocellular receptor B2/erythropoietin-producing hepatocellular receptor-interacting B2/big mitogen-activated protein kinase 1(EphB2/EphrinB2/BMK1) signaling pathway to improve neural damage in vascular dementia rats. Methods Eighty SD male adult rats were randomly divided into a sham surgery group, a model group, a non acupoint electroacupuncture group, a nimodipine group, and an electroacupuncture three needle group. The vascular dementia rat model was made by the modified Pulsinelli four vessel occlusion method. After grouping, the rats in each group were subjected to water maze test, HE staining, Nissl staining, and transmission electron microscopy(TEM) to observe the pathological changes in the hippocampal CA1 area, and the expression of EphB2 and BMK1 in the hippocampal CA1 area was detected by immunohistochemistry; Detection of EphB2 and BMK1 protein expression in rat hippocampal CA1 region was detected by Western blotting. Results Compared with the model group, the escape latency of vascular dementia rats treated with electroacupuncture and nimodipine decreased (P<0.05), while the number of crossing platforms significantly increased (P<0.05); The result of HE staining, Nissl staining and TEM showed that compared with the model group, the neurons in hippocampal CA1 area of rats in the EA Zhisanzhen group and nimodipine group were arranged orderly, and the morphology and structure of cells and organelle were complete; Immunohistochemical method and Western blotting showed that the expression of EphB2 and BMK1 in the CA1 region of hippocampus in the model group was significantly lower than that in the sham surgery group (P<0.05); Compared with the model group, the expression of EphB2 and BMK1 in the hippocampal CA1 region of rats in the electroacupuncture Zhisanzhen group significantly increased (P<0.05), while the expression of EphB2 and BMK1 in the hippocampal CA1 region of rats in the non acupoint electroacupuncture group was not statistically significant (P>0.05). Compared with the nimodipine group, the expression of EphB2 and BMK1 in the hippocampal CA1 region of rats in the electroacupuncture Zhisanzhen group significantly increased (P<0.05). Conclusion Electroacupuncture may improve the damage of hippocampal neurons in vascular dementia rats by increasing the expression of EphB2 and BMK1 in the CA1 region of the hippocampus, thereby improving the learning and memory of vascular dementia rats.

Inductively coupled plasma mass spectrometry (ICP-MS) was applied to determine the concentrations of lead (Pb), cadmium (Cd) and arsenic (As) in Lindera aggregata (Sims) Kosterm. The physiologically based extraction test (PBET) digestion in vitro/Caco-2 cell model was established to investigate the bioaccessible contents of Pb, Cd and As in decoction of Lindera aggregata (Sims) Kosterm. The target-organ toxicity dose modification of HI method (TTD) was used to evaluate the cumulative risk caused by the combined exposure of the total levels of Pb, Cd and As in Lindera aggregata (Sims) Kosterm. and the bioaccessible contents in the decoction. The results showed that the total contents of Pb, Cd and As in 4 batches of samples were in the range of 2.901-3.872, 1.299-1.800 and 0.062-0.216 mg·kg^-1, respectively. After transportation by Cacco-2 cells, the bioaccessible contents of Pb, Cd, and As in the decoction were in the range of 0.045-0.080, 0.070-0.112 and 0.004-0.018 mg·kg^-1. The results of risk assessment showed that calculated by the total amounts of heavy metals in the Lindera aggregata (Sims) Kosterm., for the end points of nervous system, the cumulative risks of co-exposure of heavy metals in 3 batches of samples were of concern. After decoction and transportation by Caco-2 cells, for the end points of cardiovascular system, blood, nervous system, kidney and testis, the TTD modification of HI values of all batches of samples were less than 1, and the health risks were acceptable. The study provided methodology basis for a more objective assessment of the health risks of heavy metals and harmful elements in traditional Chinese medicine and for a more scientific limit standard of heavy metals and harmful elements.

Male diabetic individuals present a marked impairment in fertility; however, knowledge regarding the pathogenic mechanisms and therapeutic strategies is unsatisfactory. The new hypoglycemic drug dapagliflozin has shown certain benefits, such as decreasing the risk of cardiovascular and renal events in patients with diabetes. Even so, until now, the effects and underlying mechanisms of dapagliflozin on diabetic male infertility have awaited clarification. Here, we found that dapagliflozin lowered blood glucose levels, alleviated seminiferous tubule destruction, and increased sperm concentrations and motility in leptin receptor-deficient diabetic db/db mice. Moreover, the glucagon-like peptide-1 receptor (GLP-1R) antagonist exendin (9-39) had no effect on glucose levels but reversed the protective effects of dapagliflozin on testicular structure and sperm quality in db/db mice. We also found that dapagliflozin inhibited the testicular apoptotic process by upregulating the expression of the antiapoptotic protein B-cell lymphoma 2 (BCL2) and X-linked inhibitor of apoptosis protein (XIAP) and inhibiting oxidative stress by enhancing the antioxidant status, including total antioxidant capacity, total superoxide dismutase (SOD) activity, and glutathione peroxidase (GPx) activity, as well as decreasing the level of 4-hydroxynonenal (4-HNE). Exendin (9-39) administration partially reversed these effects. Furthermore, dapagliflozin upregulated the glucagon-like peptide-1 (GLP-1) level in plasma and GLP-1R expression by promoting AKT8 virus oncogene cellular homolog (Akt) phosphorylation in testicular tissue. Exendin (9-39) partially inhibited Akt phosphorylation. These results suggest that dapagliflozin protects against diabetes-induced spermatogenic dysfunction via activation of the GLP-1R/phosphatidylinositol 3-kinase (PI3K)/Akt signaling pathway. Our results indicate the potential effects of dapagliflozin against diabetes-induced spermatogenic dysfunction.
Mice ; Animals ; Male ; Proto-Oncogene Proteins c-akt/metabolism* ; Antioxidants ; Phosphatidylinositol 3-Kinases/metabolism* ; Semen/metabolism* ; Diabetes Mellitus

Humans ; Consensus ; Hypersensitivity ; Desensitization, Immunologic/adverse effects* ; Immunotherapy/adverse effects* ; Injections, Subcutaneous ; Allergens

Asians ; China ; Humans ; Hypertension/drug therapy* ; Practice Guidelines as Topic ; Writing