The emotion prediction of college students with attention LSTM during the COVID19 epidemic.

During the COVID19 pandemic, there is a pronounced collective mental health issue among college students. Forecasting the trend of emotional changes in on-campus students is crucial to effectively address this issue. This study proposes an Attention-LSTM neural network model that performs deep learning on key input sequence information, so as to predict the distribution of emotional states in college students. By testing 60 consecutive days of emotional data, the model successfully predicts students' emotional distribution, triggers and resolution strategies, with an accuracy rate of no less than 99%. Compared with models such as ARIMA, SARIMA and VAR, this model shows significant advantages in accuracy, operational efficiency, and data collection requirements. The integration of deep learning technology with student management in this study offers a novel approach to address emotional issues among students under exceptional circumstances.

Kruppel-like factor 9 inhibits growth and metastasis of cholangiocarcinoma cells by targeted regulation of metallothionein 1 M transcription.

This study is to investigate the effect of Kruppel-like factor 9 (KLF9) on the occurrence and progression of cholangiocarcinoma (CCA) and its underlying mechanism. After the CCA cells were transfected with OE-KLF9 and/or sh-metallothionein 1 M (sh-MT1M), KLF9 and MT1M expression levels were measured. Likewise, the biological characteristics of CCA cells were measured, followed by detections of caspase3 activity and epithelial mesenchymal transition (EMT)-related protein. Furthermore, the binding site of KLF9 and MT1M was predicted and verified. An in vivo model of CCA in nude mice was established where tumor volume and weight were recorded, in addition to tumor metastasis in the liver. The expression of KLF9 and MT1M in the CCA cells was remarkably lower. CCA cells overexpressing KLF9 showed repressed abilities to proliferate, invade, and migrate, and strengthened cell apoptosis. KLF9 inhibited EMT, growth, and migration of CCA cells by modulating MT1M transcription. Additionally, KLF9 facilitated MT1M expression in vivo and improve the progression of CCA in nude mice. KLF9 acted as a transcription factor of MT1M to promote its transcription level, thereby affecting the growth and migration of CCA cells, and ultimately improving the occurrence and development of CCA.

Short-Term and Long-Term Curative Effect of Partial Hepatectomy on Ruptured Hemorrhage of Primary Liver Cancer after TAE.

Objective: To observe the short-term and long-term curative effects of partial hepatectomy on ruptured hemorrhage of primary liver cancer after transcatheter arterial embolization (TAE). Methods: A total of 150 patients with primary liver cancer treated in the hospital were enrolled as research objects between February 2018 and February 2021, including 75 cases undergoing TAE in the TAE group and the other 75 cases undergoing elective partial hepatectomy after TAE in the combination group. The surgical related indexes (leaving bed time, discharge time, success rate of hemostasis, lesion clearance rate), mean arterial pressure (MAP), heart rate (HR), hemoglobin, and liver function indexes (serum alpha-fetoprotein (AFP), albumin (ALB), total bilirubin (TBIL)) before and after treatment, postoperative complications, survival rate, and recurrence rate at 1 year after surgery between the two groups were compared. Results: Compared with the TAE group, hospitalization time was shorter (P < 0.05), the success rate of hemostasis and lesions clearance rate were higher in the combination group (P < 0.05). After surgery, levels of HR and serum AFP were significantly decreased, while levels of MAP, hemoglobin, serum ALB, and TBIL were significantly increased in both groups. The levels of HR and serum AFP in the combination group were lower than those in the TAE group, while levels of MAP, hemoglobin, serum ALB, and TBIL were higher than those in the TAE group (P < 0.05). There was no significant difference in the incidence of postoperative complications between the two groups (P < 0.05). Compared with the TAE group, the recurrence rate was lower, and the survival rate was higher in the combination group at 1 year after surgery (P < 0.05). Conclusion: Partial hepatectomy can effectively improve hemostatic effect and liver function in ruptured hemorrhage of primary liver cancer after TAE, increase survival rate, and reduce postoperative recurrence rate.

Preliminary study to identify severe from moderate cases of COVID-19 using combined hematology parameters.

BACKGROUND: The third fatal coronavirus is the novel coronavirus (SARS-CoV-2) that causes novel coronavirus pneumonia (COVID-19) which first broke out in December 2019. Patients will develop rapidly if there is no any intervention, so the risk identification of severe patients is critical. The aim of this study was to investigate the characteristics and rules of hematology changes in patients with COVID-19, and to explore the possibility differentiating moderate and severe patients using conventional hematology parameters or combined parameters. METHODS: The clinical data of 45 moderate and severe type patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections in Jingzhou Central Hospital from January 23 to February 13, 2020 were collected. The epidemiological indexes, clinical symptoms, and laboratory test results of the patients were retrospectively analyzed. Those parameters with significant differences between moderate and severe cases were analyzed, and the combination parameters with the best diagnostic performance were selected using the linear discriminant analysis (LDA) method. RESULTS: Of the 45 patients with the novel 2019 corona virus (COVID-19) (35 moderate and 10 severe cases), 23 were male and 22 were female, with ages ranging from 16 to 62 years. The most common clinical symptoms were fever (89%) and dry cough (60%). As the disease progressed, white blood cell count (WBC), neutrophil count, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), red blood cell distribution width-coefficient of variation (RDW-CV), and red cell volume distribution width-standard deviation (RDW-SD) parameters in the severe group were significantly higher than those in the moderate group (P<0.05); meanwhile, lymphocyte count (Lym#), eosinophil count (Eos#), high fluorescent cell percentage (HFC%), red blood cell count (RBC), hemoglobin (HGB), and hematocrit (HCT) parameters in the severe group were significantly lower than those in the moderate group (P<0.05). For NLR parameter, it's area under the curve (AUC), cutoff, sensitivity and specificity were 0.890, 13.39, 83.3% and 82.4% respectively; meanwhile, for PLR parameter, it's AUC, cutoff, sensitivity and specificity were 0.842, 267.03, 83.3% and 74.0% respectively. The combined parameters of NLR and RDW-SD had the best diagnostic efficiency (AUC =0.938), and when the cutoff value was 1.046, the sensitivity and the specificity were 90.0% and 84.7% respectively, followed by the combined parameter NLR&RDW-CV (AUC =0.923). When the cut-off value was 0.62, the sensitivity and the specificity for distinguishing severe type from moderate cases of COVID-19 were 90.0% and 82.4% respectively. CONCLUSIONS: The combined NLR and RDW-SD parameter is the best hematology index. It may help clinicians to predict the severity of COVID-19 patients and can be used as a useful indicator to help prevent and control the epidemic.

Real-world use of nonvitamin K antagonist oral anticoagulant in atrial fibrillation patients with liver disease: A meta-analysis.

Several studies have investigated the effectiveness and safety of nonvitamin K antagonist oral anticoagulants (NOACs) vs vitamin K antagonists (VKAs) in patients with atrial fibrillation (AF) and liver disease. Herein, we conducted a meta-analysis to compare the effect of NOACs with VKAs in patients with AF and liver disease. We also conducted a subsidiary analysis to compare the risk of liver injury between NOACs and VKA in AF patients. We systematically searched the PubMed and Embase databases from January 2009 to May 2020 for the relevant studies. Hazard ratios (HRs) with 95% confidence intervals (CIs) were selected and pooled using a random-effects model. A total of six cohorts were included. Compared with VKA use, the use of NOACs was associated with reduced risks of stroke or systemic embolism (HR 0.68, 95% CI 0.49-0.93), all-cause death (HR 0.69, 95% CI 0.63-0.75), and intracranial bleeding (HR 0.49, 95% CI 0.40-0.59), whereas the outcomes of major bleeding (HR 0.72, 95% CI 0.51-1.01) and gastrointestinal bleeding (HR 0.84, 95% CI 0.51-1.36) were not significantly different between groups in AF patients with liver disease. Moreover, compared with VKA use, the use of NOACs was associated with a reduced risk of liver injury (HR 0.72, 95% CI 0.61-0.84) in AF patients. Compared with VKAs, the use of NOACs was associated with reduced risks of stroke or systemic embolism, all-cause death, and intracranial bleeding in AF patients with liver disease, and associated with a reduced risk of liver injury in AF patients.

A novel epigenetic signature to predict recurrence-free survival in patients with colon cancer.

BACKGROUND: DNA methylation plays an important role in the initiation and progression of colon cancer. The aim of the present study was to perform a comprehensive analysis of DNA methylation and gene expression profiles in order to develop a signature to predict recurrence-free survival (RFS) of colon cancer. METHODS: DNA methylation and mRNA expression data were obtained from TCGA database, and were analyzed using an R package MethylMix. Functional enrichment analysis was performed on statistically significant genes identified by MethylMix criteria. The epigenetic signature and nomogram associated with the RFS of colon cancer were established by the Least Absolute Shrinkage and Selection Operator (LASSO) Cox model. Additionally, a joint survival analysis of gene expression and methylation was performed to identify potential prognostic factors for patients with colon cancer. RESULTS: A total of 179 differentially methylated genes were obtained using MethylMix algorithm. An epigenetic signature for RFS was developed using LASSO. Patients with high-risk had significantly worse RFS than those with low-risk. The signature is independent of clinicopathological variables and indicated better predictive power than other clinicopathological variables in patients with colon cancer. Moreover, joint survival analysis of gene expression and methylation revealed that seven methylated genes could be independent prognostic factors for RFS in colon cancer. CONCLUSIONS: Our proposed epigenetic signature presents potential prognostic significance in assessing recurrence risk stratification for patients with colon cancer.