重庆第二师范学院

This study applied D-galactose-induced oxidative aging in mice to establish a model of functional and physical decline. The intervention effect of Limosilactobacillus fermentum HYFN13 on liver oxidative stress and the improvement of exercise endurance were observed. In this study, the exhaustive running training of mice was observed. The indicators of serum and liver tissue were detected using the detection kit. The sections of mouse liver tissue were observed by hematoxylin and eosin (H&E) staining method. The mRNA expressions of liver, gastrocnemius muscle and microorganisms in intestinal contents of mice were further detected by quantitative polymerase chain reaction (qPCR), and the protein expressions in the liver of mice were also detected by western blot. The experimental results showed that compared with the model group, HYFN13 could increase the exhaustion running time of mice, reduce the levels of lactic acid (LA), creatine kinase (CK), and lipopolysaccharide (LPS) in the serum, increase the levels of hepatic glycogen (HG) in hepatic tissue and muscle glycogen (MG) in gastrocnemius muscle tissues and reduce tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), and reactive oxygen species (ROS) levels. It was found through observing the sections that HYFN13 could alleviate liver tissue lesions caused by oxidative stress. Further experimental results showed that HYFN13 could up-regulate the mRNA expressions of copper-zinc superoxide dismutase (Cu/Zn-SOD), manganese superoxide dismutase (Mn-SOD), catalase (CAT) and glutathione peroxidase 4 (GPx4) in liver tissues and gastrocnemius muscle tissues of mice with exhaustion under oxidative stress. HYFN13 could also up-regulate the mRNA expressions of AMP-activated protein kinase (AMPK) and mammalian target of rapamycin (mTOR) in liver tissues, as well as the protein expressions of AMPKα1 and mTOR, and increased the ratio of AMPK (AMPKα1)/mTOR. Analysis of intestinal contents showed that HYFN13 could increase the mRNA expression of Firmicutes and Bifidobacterium in the intestine of model mice and reduce the expression of Bacteroidetes. Meanwhile, HYFN13 could significantly increase the expression of Lactobacillus and raise the expression intensity to exceed that of the normal group. The research results indicate that HYFN13 has the effect of regulating oxidative damage and enhancing endurance.

As a chronic,systemic autoimmune disease,rheumatoid arthritis(RA)brings serious threats to patients'health and imposes a heavy burden on individuals and society.Despite the large variety of drugs for treating RA,problems still exist,such as poor therapeutic effects and strong side effects.The novel hydrogel drug delivery system with unique structure and properties such as good biocompatibility,large drug loading capacity,flexible drug loading methods,improved drug tar-geting,and controlled drug release,holds great potential to be widely used in the delivery of RA treatment drugs and exhibits a positive promoting effect on the treatment of RA.This article focuses on the research of novel intelligent hydrogels for intra-articular injection and their application in the treatment of RA,aiming to provide reference and guidance for the continuous research of hydrogel drug delivery systems for RA treatment.

Grain and oil safety is one of the important food safety issues and has received widespread attention worldwide.Therefore,rapid,accurate and efficient detection technologies are crucial for ensuring the safety of grains and oils.However,traditional detection methods for grains and oils have disadvantages such as long-time consumption,large subjective errors and poor real-time performance,which cannot meet consumers'high requirements for food quality.The combination of computer vision and deep learning provides a rapid,efficient and non-destructive solution for grain and oil detection.This article introduces the basic principles of deep learning and computer vision and their advantages in food detection,focusing on the application of algorithms such as convolutional neural network(CNN),long short-term memory(LSTM),and generative adversarial network(GAN)in grain and oil detection.Meanwhile,it demonstrates the significant effects of these technologies in improving the detection accuracy and efficiency and summarizes recent progress in the application of computer vision and deep learning in non-destructive testing of grains,oils and their products.Finally,the limitations and future trends of computer vision and deep learning in the field of grain and oil safety are discussed from various aspects such as optimizing the robustness and interpretability of the model and developing lightweight models to adapt to the resource-constrained detection environment,aiming to promote the development of more efficient and accurate food detection technologies.

Abstract：University badminton clubs are one of the key ways to build campus sports culture, playing an irreplaceable role in promoting overall student development and implementing the national fitness strategy. This article focuses on the badminton club at Chongqing Second Normal University, using methods like literature review, questionnaires, interviews, and statistical analysis. During field research, we handed out 100 questionnaires and got all 100 back. Semi-structured interviews with club leaders and members showed that the club has set up a basic organisational framework and activity system, but there are still issues like uneven grade distribution among members, high turnover, repetitive and simple activities, obvious venue resource conflicts, rough management, limited funding sources, and inadequate equipment. Based on this, the article suggests improvements in four areas: better recruitment and retention, a more diverse activity system, smarter venue use, and more funding options. Hopefully, these ideas can help the badminton club at Chongqing Second Normal University grow in a positive way and offer some pointers for similar sports clubs at local normal universities.

To investigate the influence of shrimp head autolytic active peptides(SAP)on the anti-fatigue ability of mice,low,middle,and high doses of SAP were administered orally to mice for 28 d.Subsequently,load-bearing swimming time,malondialdehyde content in liver tissue,blood lactic acid content,blood urea nitrogen content,lactate dehydrogenase activity,reduced glutathione content,liver/muscle glycogen content,and mRNA expression of Keap1,Nrf2,HO-1,and NQO-1 were measured and the liver tissue morphology of each group of mice was also observed.The results showed that compared with the normal control group(NC),the load-bearing swimming time of mice in each dose group of SAP was significantly prolonged(P＜0.05),while the high-dose group of SAP(600 mg/kg·d)exhibited significantly decreased levels of malondialdehyde,blood lactic acid,and blood urea nitrogen(P＜0.05),significantly increased levels of lactate dehydrogenase,reduced glutathione,and liver glycogen(P＜0.05),significantly upregulated mRNA expression of Nrf2,HO-1,and NQO-1(P＜0.05),and significantly downregulated mRNA expression of Keap1(P＜0.05).The anti-fatigue effect was comparable to that of taurine positive control group(TP).In addition,by observing the tissue morphology of liver slices in each group of mice,each dose group of SAP showed similar morphology to the normal blank group,indicating that short-term continuous intake of appropriate amounts of SAP does could not affect the normal metabolic function of the mice liver and not cause damage to its liver.The results indicated that shrimp head SAP can activate the Keapl/Nrf2/ARE signaling pathway in mice,alleviate oxidative stress,protect cells from damage,and regulate energy metabolism,thus alleviating fatigue symptoms and exhibiting significant anti-fatigue effects.