Psychotropic medication plays a crucial role in the field of mental illness,and the issues of drug efficacy and safety due to individual differences cannot be ignored.Genetic factors,especially the genetic poly-morphisms related to drug-metabolizing enzymes,drug action targets,and risk,have a significant impact on drug responses.Pharmacogenomics,by detecting genetic polymorphisms,can reveal a patient's inherited tend-encies towards drug efficacy,pharmacokinetic characteristics,and potential toxicity,thereby predicting the therapeutic effects and adverse reactions of drug treatment,and providing guidance for personalized therapy.Therefore,individualized medication based on pharmacogenomics helps to improve cure rates,reduce relapse rates,and decrease medical costs,which is of great significance to clinical medication in mental illness.

This study collected data on 9 cases of fatal head injuries caused by adjustable wrenches and analyzed 16 types of injury characteristics of head injuries caused by adjustable wrenches.The distinctive patterns of head injuries caused by adjustable wrenches were summarized.A four level scoring model and scoring criteria were constructed for head injuries caused by adjustable wrenches.From a morphological perspective,it provided a reference for the inference of injury-causing instruments in forensic practice.

New quality productivity is a strategic engine for promoting high-quality development and is an inherent requirement and important focus for enhancing new driving forces and building national advantages.The cultivation of innovative talents and technological innovation are key to the development of new quality productivity.Laboratory animal science is a comprehensive interdisciplinary subject that integrates multiple disciplines including biology,medicine,pharmacy,and biomedical engineering.Teaching and research of laboratory animal science not only promotes the creation of innovative talent teams by cultivating innovative consciousness,thinking,spirit,and operational abilities,but also promotes the development of cutting-edge technologies and the transformation of disruptive research result in the fields of basic research and clinical translation of biomedicine,thus providing important guarantees for China's scientific and technological progress and innovative development.

This study collected data on 9 cases of fatal head injuries caused by adjustable wrenches and analyzed 16 types of injury characteristics of head injuries caused by adjustable wrenches.The distinctive patterns of head injuries caused by adjustable wrenches were summarized.A four level scoring model and scoring criteria were constructed for head injuries caused by adjustable wrenches.From a morphological perspective,it provided a reference for the inference of injury-causing instruments in forensic practice.

New quality productivity is a strategic engine for promoting high-quality development and is an inherent requirement and important focus for enhancing new driving forces and building national advantages.The cultivation of innovative talents and technological innovation are key to the development of new quality productivity.Laboratory animal science is a comprehensive interdisciplinary subject that integrates multiple disciplines including biology,medicine,pharmacy,and biomedical engineering.Teaching and research of laboratory animal science not only promotes the creation of innovative talent teams by cultivating innovative consciousness,thinking,spirit,and operational abilities,but also promotes the development of cutting-edge technologies and the transformation of disruptive research result in the fields of basic research and clinical translation of biomedicine,thus providing important guarantees for China's scientific and technological progress and innovative development.

Objective To verify the genetic characteristics associated with gastric cancer,and to propose a hybrid feature selection method for identifying target genes,further analyzing their significance and establishing a new diagnostic prediction model.Methods Analysis of variance in bioinformatics was performed on the original gastric cancer data,and then machine learning methods such as random forest,recursive feature elimination of support vector machine,and LASSO algorithm were used to screen gastric cancer associated genes,and the intersection of results was taken as the key gene set.The key genes were identified and verified through enrichment analysis.The diagnosis and prediction models based on 8 kinds of machine learning classification algorithms such as multi-layer perceptron,logistic regression and decision tree,were constructed using the key genes.Results The key genes selected by the hybrid feature selection method were closely related to the tumorigenesis and development.Eight key genes(TXNDC5,BMP8A,ONECUT2,COL10A1,JCHAIN,INHBA,LCTL and TRIM59)were identified as potential markers of good diagnostic efficacy in gastric cancer.The ROC curve and accuracy results demonstrated that among the 8 classification models,MLP is the best gastric cancer prediction model,with an accuracy of 97.77%,which was 3.83%higher than that of Xgboost gastric cancer prediction model.Conclusion The study identifies 8 key genes for the diagnosis and prevention of gastric cancer,and establishes the optimal prognosis model.

Tumors are serious diseases threatening human health,and the early diagnosis is essential to improve treatment success and patient survival.The study of tumor gene expression data has become a major tool for revealing tumor disease mechanisms,in which artificial intelligence plays an important role.The potential advantages of supervised learning,unsupervised learning and deep learning in tumor prediction and classification are explored from the perspective of machine learning methods.Special attention is paid to the impact of feature selection algorithms on gene screening and their importance in high-dimensional gene expression data.By providing a comprehensive overview of the application and development of artificial intelligence in the analysis of tumor gene expression data,the study aims to provide an outlook for future research directions and promote further development.

Objective: To evaluate the dietary quality of residents in Wenzhou City, Zhejiang Province, so as to provide the basis for future health education and nutrition intervention programs. Methods: A stratified multi-stage random sampling method was used to select residents aged 18 years and older in 6 counties (cities, districts) of Wenzhou City as the study subjects, “24-hour dietary review for 3 consecutive days” was adopted to collect dietary intake, and the diet balance index (DBI_16) scoring method was applied to evaluate the dietary quality. Results: This study analyzed the dietary quality of 406 residents in Wenzhou City, including 197 males (48.52%) and 209 females (51.48%). The majority of the residents were aged 18-44 years (254 residents, 62.56%). The median DBI total score was -31 (interquartile range, 8), and 404 residents had insufficient dietary intake, accounting for 99.51%. The median DBI positive score was 5 (interquartile range, 6), and 288 residents had appropriate dietary intake, accounting for 70.94%. The median DBI negative score was 37 (interquartile range, 6), and 210 residents had a high level of insufficient dietary intake, accounting for 51.72%. Five dietary patterns, namely A, B, C, E and F, were identified, with pattern B being the most dominant, accounting for 75.62% of the total (307 individuals). Patterns D, H, I and G were not observed. Conclusions The dietary quality of the residents surveyed indicates the existence of dietary imbalances, mainly manifesting as inadequate intake. It is recommended to strengthen nutritional and health guidance.

Objective To investigate the predictive factors for death within 30 days after admission in patients with decompensated liver cirrhosis and acute kidney injury(AKI),and to establish and validate a nomogram prediction model.Methods The Joint Medical Record Management System of The First Affiliated Hospital of Nanchang University was used to obtain the patients with decompensated liver cirrhosis who were hospitalized in Department of Gastroenterology and Department of Infectious Diseases from January 2015 to December 2020,among whom 330 patients who met the 2015 International Club of Ascites diagnostic criteria for AKI were enrolled and divided into training group with 193 patients and validation group with 137 patients.A Cox regression analysis was used to investigate the predictive factors for death,and then a nomogram prediction model for the risk of death within 30 days after admission was established and validated.The independent-samples t-test was used for comparison of normally distributed continuous data between two groups,and a one-way analysis of variance was used for comparison between multiple groups,while the least significant difference t-test was used for further comparison between two groups;The Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups,while the Kruskal-Wallis H test was used for comparison between multiple groups.The chi-square test or the Fisher's exact test was used for comparison of categorical data between groups.Results The prevalence rate of AKI was 16.5%in patients with decompensated liver cirrhosis.The 330 patients included in the study had a mean age of 53.6±12.4 years,and male patients accounted for 79.1%.The mortality rate was 50.0%within 30 days after admission,with a mortality rate of 46.6%in the training group and 54.7%in the validation group.The presence of acute-on-chronic liver failure(ACLF)on admission was an independent risk factor for the progression of AKI into stage 1(odds ratio=2.571,95%confidence interval:1.143-5.780,P=0.022).The nomogram based on white blood cell count,international normalized ratio,presence or absence of hepatic encephalopathy,and AKI stage on admission could well predict the risk of death with 30 days after admission,with a C-index of 0.680 in the training group and 0.683 in the validation group,and it was not inferior to CTP score and MELD score.Conclusion ACLF is an independent risk factor for the progression of AKI into stage 1.The nomogram prediction model established in this study can effectively predict the risk of death within 30 days after admission and thus has important guiding significance for the early identification and management of patients with decompensated liver cirrhosis and AKI.

Objective To observe the temporary loss(re-falling)of knee range of motion(ROM)during rehabilitation after arthroly-sis for post-traumatic knee stiffness,and analyze the factors related to it. Methods From July,2016 to September,2019,64 patients(68 knees)in Beijing Bo'ai Hospital accepted minimally inva-sive arthrolysis for post-traumatic knee stiffness,and were followed up for twelve months.ROM of flexion and extension of knee was measured before operation,and one,six and twelve weeks,and six and twelve months af-ter operation;while they were asssessed with Hospital for Special Surgery Knee Score(HSS).Multivariate Logis-tic regression was performed on re-falling. Results The ROM and HSS score improved as a whole after operation;however,HSS score improved constantly,but ROM decreased six weeks after operation compared with that one weeks after operation,involving 46 knees of 44 cases.Arthrolysis longer than 12 months from primary injuries,multiple complicated fracture and history of infection were the risk factors for re-falling(OR＞8.058,P＜0.05). Conclusion Minimally invasive arthrolysis is effective on knee function after arthrolysis for post-traumatic knee stiff-ness.However,re-falling of ROM may happen during rehabilitation.Delay of operation,multiple complicated fracture and history of infection may increase the risk of re-falling.