Data_Sheet_1_Applying the Cloud Intelligent Classroom to the Music Curriculum Design of the Mental Health Education.docx

The cloud intelligent classroom, supported by modern technologies, is the main trend of curriculum design in the future. The purpose of this study is to explore the promotion and integration between digital technology and the curriculum design of mental health education in colleges and universities and realize their real value. First, the overall idea and practical value of the study are clarified after the relevant literature is reviewed. Second, the setting, the teaching methods, and the ideas of the cloud classrooms based on digital technology are elaborated in detail. Then, the final effect of mental health education in cloud intelligent classrooms is demonstrated and summarized after the teaching practice, a questionnaire survey, and the expert assessment. Finally, the research conclusions are drawn and the suggestions for constructing the cloud intelligent classrooms of mental health education are proposed based on the practice and surveys. The research is based on the reality of mental health education in colleges and universities, rational thinking, and action. While updating the means and methods of the curriculum design of the mental health education in the high school, it expands the connotation of cloud intelligent classroom and pursues the unity of “form” and “content.” The cloud intelligent classroom helps to improve the teaching quality of mental health education for the music majors in colleges and universities in the short term. Cloud intelligent classrooms can also help to achieve the curriculum design and teaching objectives.</p

The effect of PI3K and Akt inhibitors on IR-altered EMT process and migration of breast cancer cells and breast cancer cells with Bmi-1 knockdown.

<p>Established Hs578t (Panel A) and MDA-MB-231 (Panel B) cell lines infected with Bmi-1-targeting shRNA (shBmi-1) or non-targeting control shRNA (NC) and wild type (WT) cells were treated with IR (2 Gy) in the presence or absence of LY294002 or AKT I. Migrations of the cells were determined by the transwell assay at day 7 after the treatment. The data (A–B) represents the means ± SD from 3 independent experiments. *: p<0.05, IR+ LY294002 vs. IR alone; **: p<0.05 IR+AKT I vs. IR alone.</p

Analysis of the expressions of Bmi-1 and EMT makers in five breast cancer cell lines.

<p>The protein expression levels of Bmi-1, vimentin, E-cadherin and β-action were determined using Western blot analysis.</p

The time-dependent analysis of Bmi-1 expression and its correlation with migration of Hs578t and MDA-MB-231 cells after IR.

<p>Panel A: The cells were treated with IR (2 Gy) and lysed at indicated time-points. The protein expression levels in total lysates were determined using Western blot analysis. Panel B: Migrations of the cells were determined by the transwell assay at day 1 (24 h) and day 7 (168 h) post-IR (2 Gy). Panel C: Apoptosis of the cells was analyzed by flow cytometry at day 1 and day 7 post-IR (2 Gy). The data represents the means ± SD from 3 independent experiments. *: <i>p</i><0.05.</p

The effect of Bmi-1 knockdown on IR-altered EMT process and migration of Hs578t and MDA-MB-231 cells.

<p>Panel A: Established Hs578t and MDA-MB-231 cell lines infected with Bmi-1-targeting shRNA (shBmi-1) or non-targeting control shRNA (NC) and wild type (WT) cells were treated with IR (2 Gy) and lysed at day 1 (24 h) and day 7 (168 h) post-IR (2 Gy). The protein expression levels in total lysates were determined using western blotting analysis. Panel B: Migrations of the cells were determined by the transwell assay at day 1 and day 7 post-IR (2 Gy). The data represents the means ± SD from 3 independent experiments. *: <i>p</i><0.05.</p

Effect of Carbonization Temperature on the Product Distributions and Characteristics for Integrated Mild Liquefaction and Carbonization of Low-Rank Coals

In order to realize the efficient conversion of low-rank coals, an integrated mild liquefaction and carbonization (IMLC) technology was proposed, and the effect of carbonization temperature (CT) on the product distributions and characteristics from the simulated IMLC technology was investigated. Results show that about 30.34–40.02% of liquid products (LPs) and 40.64–56.25% of semicokes (SCs) can be obtained from the IMLC process at the CT of 410–600 °C. The adopted carbonization process is an effective measure to separate the solid and liquid products from the coal liquefaction process, and the obtained SCs contain no <i>n</i>-hexane soluble fractions (HSs). The LPs present a quite high HS content (82.20–90.80%) and a small quantity of asphaltenes and preasphaltenes, and the HSs are predominantly abundant with aliphatics, alkyl benzenes, and alkyl naphthalenes, indicating that the LPs are potentially suitable for utilization to produce liquid fuels by further refining. The obtained SCs could be used as a binder to reduce the use of high-coking coals in the coke-making of coal blends or as fuel of boilers to substitute for anthracite, depending on the conditions of the carbonization process. The proposed IMLC process could realize the economic and efficient conversion of low-rank coals into LPs and SCs under mild conditions

Image2_Molecular subtyping of acute myeloid leukemia through ferroptosis signatures predicts prognosis and deciphers the immune microenvironment.TIF

Acute myeloid leukemia (AML) is one of the most aggressive hematological malignancies with a low 5-year survival rate and high rate of relapse. Developing more efficient therapies is an urgent need for AML treatment. Accumulating evidence showed that ferroptosis, an iron-dependent form of programmed cell death, is closely correlated with cancer initiation and clinical outcome through reshaping the tumor microenvironment. However, understanding of AML heterogeneity based on extensive profiling of ferroptosis signatures remains to be investigated yet. Herein, five independent AML transcriptomic datasets (TCGA-AML, GSE37642, GSE12417, GSE10358, and GSE106291) were obtained from the GEO and TCGA databases. Then, we identified two ferroptosis-related molecular subtypes (C1 and C2) with distinct prognosis and tumor immune microenvironment (TIME) by consensus clustering. Patients in the C1 subtype were associated with favorable clinical outcomes and increased cytotoxic immune cell infiltration, including CD8+/central memory T cells, natural killer (NK) cells, and non-regulatory CD4+ T cells while showing decreased suppressive immune subsets such as M2 macrophages, neutrophils, and monocytes. Functional enrichment analysis of differentially expressed genes (DEGs) implied that cell activation involved in immune response, leukocyte cell–cell adhesion and migration, and cytokine production were the main biological processes. Phagosome, antigen processing and presentation, cytokine–cytokine receptor interaction, B-cell receptor, and chemokine were identified as the major pathways. To seize the distinct landscape in C1 vs. C2 subtypes, a 5-gene prognostic signature (LSP1, IL1R2, MPO, CRIP1, and SLC24A3) was developed using LASSO Cox stepwise regression analysis and further validated in independent AML cohorts. Patients were divided into high- and low-risk groups, and decreased survival rates were observed in high- vs. low-risk groups. The TIME between high- and low-risk groups has a similar scenery in C1 vs. C2 subtypes. Single-cell-level analysis verified that LSP1 and CRIP1 were upregulated in AML and exhausted CD8+ T cells. Dual targeting of these two markers might present a promising immunotherapeutic for AML. In addition, potential effective chemical drugs for AML were predicted. Thus, we concluded that molecular subtyping using ferroptosis signatures could characterize the TIME and provide implications for monitoring clinical outcomes and predicting novel therapies.</p

Image1_Molecular subtyping of acute myeloid leukemia through ferroptosis signatures predicts prognosis and deciphers the immune microenvironment.TIF

Acute myeloid leukemia (AML) is one of the most aggressive hematological malignancies with a low 5-year survival rate and high rate of relapse. Developing more efficient therapies is an urgent need for AML treatment. Accumulating evidence showed that ferroptosis, an iron-dependent form of programmed cell death, is closely correlated with cancer initiation and clinical outcome through reshaping the tumor microenvironment. However, understanding of AML heterogeneity based on extensive profiling of ferroptosis signatures remains to be investigated yet. Herein, five independent AML transcriptomic datasets (TCGA-AML, GSE37642, GSE12417, GSE10358, and GSE106291) were obtained from the GEO and TCGA databases. Then, we identified two ferroptosis-related molecular subtypes (C1 and C2) with distinct prognosis and tumor immune microenvironment (TIME) by consensus clustering. Patients in the C1 subtype were associated with favorable clinical outcomes and increased cytotoxic immune cell infiltration, including CD8+/central memory T cells, natural killer (NK) cells, and non-regulatory CD4+ T cells while showing decreased suppressive immune subsets such as M2 macrophages, neutrophils, and monocytes. Functional enrichment analysis of differentially expressed genes (DEGs) implied that cell activation involved in immune response, leukocyte cell–cell adhesion and migration, and cytokine production were the main biological processes. Phagosome, antigen processing and presentation, cytokine–cytokine receptor interaction, B-cell receptor, and chemokine were identified as the major pathways. To seize the distinct landscape in C1 vs. C2 subtypes, a 5-gene prognostic signature (LSP1, IL1R2, MPO, CRIP1, and SLC24A3) was developed using LASSO Cox stepwise regression analysis and further validated in independent AML cohorts. Patients were divided into high- and low-risk groups, and decreased survival rates were observed in high- vs. low-risk groups. The TIME between high- and low-risk groups has a similar scenery in C1 vs. C2 subtypes. Single-cell-level analysis verified that LSP1 and CRIP1 were upregulated in AML and exhausted CD8+ T cells. Dual targeting of these two markers might present a promising immunotherapeutic for AML. In addition, potential effective chemical drugs for AML were predicted. Thus, we concluded that molecular subtyping using ferroptosis signatures could characterize the TIME and provide implications for monitoring clinical outcomes and predicting novel therapies.</p

Image3_Molecular subtyping of acute myeloid leukemia through ferroptosis signatures predicts prognosis and deciphers the immune microenvironment.TIF

Acute myeloid leukemia (AML) is one of the most aggressive hematological malignancies with a low 5-year survival rate and high rate of relapse. Developing more efficient therapies is an urgent need for AML treatment. Accumulating evidence showed that ferroptosis, an iron-dependent form of programmed cell death, is closely correlated with cancer initiation and clinical outcome through reshaping the tumor microenvironment. However, understanding of AML heterogeneity based on extensive profiling of ferroptosis signatures remains to be investigated yet. Herein, five independent AML transcriptomic datasets (TCGA-AML, GSE37642, GSE12417, GSE10358, and GSE106291) were obtained from the GEO and TCGA databases. Then, we identified two ferroptosis-related molecular subtypes (C1 and C2) with distinct prognosis and tumor immune microenvironment (TIME) by consensus clustering. Patients in the C1 subtype were associated with favorable clinical outcomes and increased cytotoxic immune cell infiltration, including CD8+/central memory T cells, natural killer (NK) cells, and non-regulatory CD4+ T cells while showing decreased suppressive immune subsets such as M2 macrophages, neutrophils, and monocytes. Functional enrichment analysis of differentially expressed genes (DEGs) implied that cell activation involved in immune response, leukocyte cell–cell adhesion and migration, and cytokine production were the main biological processes. Phagosome, antigen processing and presentation, cytokine–cytokine receptor interaction, B-cell receptor, and chemokine were identified as the major pathways. To seize the distinct landscape in C1 vs. C2 subtypes, a 5-gene prognostic signature (LSP1, IL1R2, MPO, CRIP1, and SLC24A3) was developed using LASSO Cox stepwise regression analysis and further validated in independent AML cohorts. Patients were divided into high- and low-risk groups, and decreased survival rates were observed in high- vs. low-risk groups. The TIME between high- and low-risk groups has a similar scenery in C1 vs. C2 subtypes. Single-cell-level analysis verified that LSP1 and CRIP1 were upregulated in AML and exhausted CD8+ T cells. Dual targeting of these two markers might present a promising immunotherapeutic for AML. In addition, potential effective chemical drugs for AML were predicted. Thus, we concluded that molecular subtyping using ferroptosis signatures could characterize the TIME and provide implications for monitoring clinical outcomes and predicting novel therapies.</p