Objective: To explore the influencing factors and network structure of aggressive behaviors among college students based on propensity score matching (PSM), so as to provide precise targeted interventions for the prevention and improvement of aggressive behaviors among college students. Methods: A total of 2 652 college students were selected by convenient sampling method from three colleges in Wuhan, Hubei Province in June 2023. Questionnaire surveys were carried out by using the Buss-Warren Aggression Questionnaire (BWAQ), Ruminative Responses Scale (RRS), Cognitive Emotion Regulation Questionnaire-Chinese Version (CERQ-C), Family APGAR Index (APGAR) ,Brief Fear of Negative Evaluation Scale (BFNES).By bias score matching (PSM) for 1∶1 matching, univariate and multivariate Logistic regression analysis, and network analysis were conducted on the college students. Results: College students with higher levels of ruminant thinking，non adaptive emotional regulation and fear of negative appraisal were more likely to have highly aggressive behaviors（ OR =1.14，1.18，1.06），and those with higher adaptive emotional regulation and family care index were more likely to have highly aggressive behaviors ( OR =0.88，0.82)( P < 0.01 ). Network structure was significantly different between the two groups ( M =0.27, P <0.05). The core affective factors of college students with high levels of aggressive behavior were brooding reflective pondering and symptom rumination( EI =3.50, 3.49, 3.48 )，low aggressive behavior college students core affective factors were adaptive emotion regulation growth and non adaptive emotion regulation( EI =4.37, 4.12, 4.08). Conclusion Factors affecting Chinese college students aggressive behaviors are of different characteristics on different behaviour types, and targeted interventions should be adopted to reduce aggressive behaviors of college students.

This paper aims to discuss the construction and promotion strategy of medical care capacity framework based on the core literacy of palliative care， combining domestic and foreign research and clinical status. The research results show that it is particularly important to construct a framework of medical care competence based on palliative care. The core competencies required for palliative care include the ability to comprehensively evaluate and formulate personalized programs， effective communication skills， interdisciplinary teamwork skills， and the ability to continuously learn and improve themselves. The quality of care can be further improved if the above abilities are incorporated into the framework of medical care ability based on palliative care. However， there are a series of problems in the process of constructing the framework of palliative medical care capacity， such as difficult implementation of policy support， poor professionalism of talent team， single and irregular service model， low social acceptance， and difficult interdisciplinary cooperation and resource integration. After a detailed analysis of the problems， this paper puts forward the countermeasures to construct the framework of caring ability literacy based on palliative care. Effective countermeasures such as increasing policy support， cultivating comprehensive talents， developing diversified palliative care models， improving social recognition， and strengthening interdisciplinary cooperation and resource integration can effectively improve the core literacy and professional ability of medical care personnel， and then promote the development and improvement of palliative care services. In-depth discussion of the above contents can provide scientific reference for building a care model and literacy framework with palliative care as the core.

Objective To investigate the relationship between the expression of serum microRNA-326(miR-326)and microRNA-623(miR-623)in non-small cell lung cancer(NSCLC)patients and their clinical pathological characteristics and prognosis.Methods A total of 114 NSCLC patients diagnosed in our hospital from March 2019 to June 2020 were collected as study subjects as case group,123 healthy individuals who underwent physical examination were as the control group.According to the 3-year prognosis,patients were separated into a survival group of 71 cases and a death group of 43 cases.Patient related clinical data were collected,real-time fluorescence quantitative PCR method was applied to detect the expression levels of miR-326 and miR-623 in various serum samples;Kaplan-Meier method was applied to analyze the relationship between the expression levels of serum miR-326 and miR-623 in NSCLC patients and their 3-year prognosis;Cox proportional risk regression model was applied to analyze the influencing factors of 3-year prognosis in NSCLC patients.Results The expression levels of serum miR-326 in the case group and control group were 0.64±0.15 and 1.02±0.23,respectively,and the expression levels of miR-623 were 0.56±0.10 and 0.98±0.15,respectively.The difference between the two groups was statistically significant(P＜0.05).The proportions of patients with low expression of miR-326 and miR-623 in low differentiation,TNM stage Ⅲ+Ⅳ,and lymph node metastasis were higher than those in high differentiation,TNM stage Ⅰ and Ⅱ,and no lymph node metastasis(P＜0.05).The 3-year survival rates of patients with low expression of miR-326(20/55,36.36％)and miR-623(27/61,44.26％)in the serum of NSCLC patients were lower than those of patients with high expression of miR-326(51/59,86.44％)and miR-623(44/53,83.02％)(Log Rank x2=32.060,22.812,P＜0.05).Serum miR-326[(0.55±0.09)vs.(0.69±0.11)]and miR-623 levels[(0.48±0.08)vs.(0.61±0.10)]of patients in the death group were significantly lower than those in the survival group(P＜0.05).The area under the curve(AUC)for poor prognosis of serum miR-326 and miR-623 alone and in combination in patients diagnosed with NSCLC were 0.828(95％CI:0.754 to 0.901),0.763(95％CI:0.671 to 0.855),and 0.903(95％CI:0.849 to 0.958),respectively.The proportions of patients with TNM stage Ⅲ+Ⅳ,lymph node metastasis,low expression of miR-326 and low expression of miR-623in the death group were higher than those in the survival group(P＜0.05).MiR-326 and miR-623 were protective factors affecting 3-year mortality in NSCLC patients,while TNM staging and lymph node metastasis were independent risk factors affecting 3-year mortality in NSCLC patients(P＜0.05).Conclusion The low expression of miR-326 and miR-623 may be involved in the occurrence and development of lung cancer,which is closely related to the clinical pathological characteristics and poor prognosis of patients.

Osteosarcoma is a common primary malignant bone tumor with highly aggressive and distal metastasis and poor prognosis. Abnormal metabolism of iron, an essential nutrient with electron-exchange capacity and an important participant in cellular activities, is closely associated with the progression of osteosarcoma. Ferroptosis has been shown to regulate osteosarcoma progression and play an important role in the treatment of osteosarcoma. Exploring the application of relevant molecular mechanisms of ferroptosis in osteosarcoma and the current status of pharmacological intervention may provide new strategies for the treatment of osteosarcoma.

Background and objective A reasonable and standardized dietary plan and procedure can help patients recovering quickly from lung cancer surgery.The aim of this study is to optimize the diet plan and procedure mainly based on medium chain triglyceride(MCT)diet and explore its clinical advantages for postoperative lung cancer patients.Methods From October 2023 to December 2023,a total of 156 patients were collected,who underwent lung cancer surgery in Lung Cancer Cen-ter,West China Hospital of Sichuan University.The patients were randomized into MCT group(76 cases)and routine diet(RD)group(80 cases).Clinical symptoms,biochemical index,postoperative hospitalization time and cost,dietary satisfaction and hospitalization comfort between the two groups were analyzed.Results The mean anus exhausting time in MCT group[24.00(9.75,36.97)h]was significantly shorter than that in RD group[28.50(24.00,48.00)h](P＜0.001).And the incidence of dizzi-ness(18.42％),nausea and vomiting(6.58％)in MCT group were remarkably lower than those in RD group(51.25％,31.25％)(P＜0.001).Hospitalization comfort score in MCT group[(16.74±1.70)]was significantly higher than that in RD group[(14.83±2.34)](P=0.016).Meanwhile,the average hospitalization cost in MCT group[(39,701.82±8105.47)￥]showed an obvious decrease compared with RD group[(44,511.79±9593.19)￥](P=0.007).Conclusion Optimizing the dietary plan and procedure mainly based on MCT diet for postoperative lung cancer patients can help the recovery of gastrointestinal function and improve hospitalization comfort,which promoted overall postoperative rehabilitation of patients with lung cancer surgery.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5％were gram-positive and 70.5％were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3％,76.7％and 77.9％,respectively.Overall,94.0％of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8％of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2％in the isolates from children and 95.7％in the isolates from adults.The resistance rate to carbapenems was lower than 13.1％in most Enterobacterales species except for Klebsiella,21.7％-23.1％of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1％to 13.3％.The prevalence of meropenem-resistant strains decreased from 23.5％in 2019 to 18.0％in 2022 in Pseudomonas aeruginosa,and decreased from 79.0％in 2019 to 72.5％in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.

To address the issue that the existing weakly supervised segmentation methods have difficulties in obtaining fine-grained glandular features from colorectal pathological images,leading to the inability to generate high-quality pseudo-labels and compromising the gland segmentation performance,a dual-branch network based on weakly supervised learning is proposed for gland segmentation in colorectal pathological image.The patch-level colorectal pathological images are input into the first branch network,where the interaction and fusion of local and global features of patch-level images are achieved through the feature interaction module and affinity attention fusion module,and fine-grained glandular features are obtained.Subsequently,image-level colorectal pathological images are input into the second branch network,where the gland locations are located using the partial class activation attention module,and coarse-grained class activation maps are obtained.Finally,high-quality pseudo-labels are derived from the fine-grained glandular features and coarse-grained class activation maps,and gland segmentation is realized in the segmentation network through the cross-scale connected spatial perception module.The tests on two colorectal pathological image datasets(GlaS and CRAG)reveal that the proposed method is superior to other segmentation methods in segmentation performance,confirming its effectiveness.

High-precision segmentation of melanoma images is crucial for early diagnosis and improving patient survival.However,the blurring of the edge region of melanoma,which presents irregular shapes,makes it difficult for existing segmentation methods to obtain edge feature information,affecting the accuracy of melanoma image segmentation.To solve this problem,a melanoma image segmentation method based on edge key points and edge attention is proposed.An edge key point selection module for point rendering and a combined convolution transformer block are designed in the encoder to guide the acquisition of local and global features of the edge by selecting edge key points.Then,the edge refinement module is designed in the encoder to refine the edge features of the deep network,and finally,the multi-scale edge attention module is designed in the skip connection,which enables the capture of the edge shape features at multiple scales.The tests on two datasets(ISIC 2018 and PH2)demonstrate that the proposed method has better segmentation performance than the existing segmentation methods.

OBJECTIVE: To analyze the characteristics of genetic variants in 134 patients diagnosed with Acute myeloid leukemia (AML). METHODS: Clinical data of the 134 patients with AML (non-acute promyelocytic leukemia) initially diagnosed at the 940th Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army from June 2017 to June 2022 were retrospectively analyzed. Potential variants of AML-related genes were detected by next-generation sequencing, and the frequency of variants was analyzed by using SPSS v26.0 software, and likelihood ratio χ² test and Fisher exact test were used for data analysis. RESULTS: The patients had included 72 males and 62 females, with a gender ratio of 1.7 : 1 and a median age of 51 years (9 ~ 86 years old). One hundred twenty patients (76.1%) had harbored at least one genetic variant, including 26 (19.4%) having a single variant, 27 (20.1%) having two variants, and 49 (36.6%) having >= 3 variants. 32 (23.9%) had no detectable variants. Genetic variants detected in over 10% of the 134 patients had included NPM1 (n = 24, 17.91%), FLT3-ITD (n = 21, 15.67%), DNMT3A (n = 20, 14.93%), CEBPA (single variant; n = 14, 10.45%), TET2 (n = 14, 10.45%), and NRAS (n = 14, 10.45%). The patients were also divided into low risk, intermediate risk and high risk groups based on their chromosomal karyotypes. The mutational rates for genes in different groups have varied, with 19 patients from the low risk group harboring variants of NRAS (n = 4, 21.05%), KRAS (n = 4, 21.05%), and KIT (n = 2, 10.53%); and 96 patients from the intermediate risk group harboring variants of NPM1 (n = 24, 25.00%), FLT3-ITD (n = 20, 20.83%), DNMT3A (n = 18, 18.75%), CEBPA (n = 12, 12.50%), and TET2 genes (n = 12, 12.50%). The mutational frequencies for the 19 patients from the high risk group were ASXL1 (n = 7, 21.05%), NRAS (n = 3, 15.97%), TP53 (n = 3, 15.79%), and EZH2 (n = 2, 10.53%). A significant difference was found in the frequencies of KIT, NPM1, FLT3-ITD, DNMT3A, and ASXL1 gene variants among the low-risk, medium-risk, and high-risk groups. CONCLUSION AML patients have a high frequency for genetic variants, with 76.1% harboring at least one variant. The frequency of genetic variants have varied among patients with different chromosomal karyotypes, and there are apparent dominant variants. KIT, NPM1, FLT3-ITD, DNMT3A, and ASXL1 may be used as prognostic factors for evaluating their prognosis.
Aged, 80 and over ; Female ; Humans ; Male ; Middle Aged ; Leukemia, Myeloid, Acute/genetics* ; Leukemia, Promyelocytic, Acute ; Nuclear Proteins ; Retrospective Studies ; Child ; Adolescent ; Young Adult ; Adult ; Aged ; East Asian People

Activating humoral and cellular immunity in lymph nodes (LNs) of nanoparticle-based vaccines is critical to controlling tumors. However, how the physical properties of nanovaccine carriers orchestrate antigen capture, lymphatic delivery, antigen presentation and immune response in LNs is largely unclear. Here, we manufactured gold nanoparticles (AuNPs) with the same size but different shapes (cages, rods, and stars), and loaded tumor antigen as nanovaccines to explore their disparate characters on above four areas. Results revealed that star-shaped AuNPs captured and retained more repetitive antigen epitopes. On lymphatic delivery, both rods and star-shaped nanovaccines mainly drain into the LN follicles region while cage-shaped showed stronger paracortex retention. A surprising finding is that the star-shaped nanovaccines elicited potent humoral immunity, which is mediated by CD4⁺ T helper cell and follicle B cell cooperation significantly preventing tumor growth in the prophylactic study. Interestingly, cage-shaped nanovaccines preferentially presented peptide-MHC I complexes to evoke robust CD8⁺ T cell immunity and showed the strongest therapeutic efficacy when combined with the PD-1 checkpoint inhibitor in established tumor study. These results highlight the importance of nanoparticle shape on antigen delivery and presentation for immune response in LNs, and our findings support the notion that different design strategies are required for prophylactic and therapeutic vaccines.