A study on the DAM-EfficientNet hail rapid identification algorithm based on FY-4A_AGRI.

Hail, a highly destructive weather phenomenon, necessitates critical identification and forecasting for the protection of human lives and properties. The identification and forecasting of hail are vital for ensuring human safety and safeguarding assets. This research proposes a deep learning algorithm named Dual Attention Module EfficientNet (DAM-EfficientNet), based on EfficientNet, for detecting hail weather conditions. DAM-EfficientNet was evaluated using FY-4A satellite imagery and real hail fall records, achieving an accuracy of 98.53% in hail detection, a 97.92% probability of detection, a false alarm rate of 2.08%, and a critical success index of 95.92%. DAM-EfficientNet outperforms existing deep learning models in terms of accuracy and detection capability, with fewer parameters and computational needs. The results validate DAM-EfficientNet's effectiveness and superior performance in hail weather detection. Case studies indicate that the model can accurately forecast potential hail-affected areas and times. Overall, the DAM-EfficientNet model proves to be effective in identifying hail weather, offering robust support for weather disaster alerts and prevention. It holds promise for further enhancements and broader application across more data sources and meteorological parameters, thereby increasing the precision and timeliness of hail forecasting to combat hail disasters and boost public safety.

Usenamine A triggers NLRP3/caspase-1/GSDMD-mediated pyroptosis in lung adenocarcinoma by targeting the DDX3X/SQSTM1 axis.

BACKGROUND: Usenamine A (C18H17NO6) is a newly developed, natural anticancer drug that reportedly exerts low toxicity. The therapeutic efficacy and underlying mechanisms of usenamine A in lung adenocarcinoma (LUAD) remain poorly understood. We aimed to explore the therapeutic effects and molecular mechanisms through which usenamine A inhibits LUAD tumorigenesis. METHODS: We used LUAD cell lines H1299 and A549 in the present study. CCK-8 and colony formation assays were performed to analyze cell proliferation. Cell migration, invasion, and apoptosis were evaluated using wound-healing, transwell, and flow cytometric assays, respectively. Levels of reactive oxygen species were measured using a DCFH-DA probe. Inflammatory factors (lactate dehydrogenase, interleukin [IL]-1ß, and IL-18) were detected using enzyme-linked immunosorbent assays. Western blotting was performed to determine the expression of NOD-like receptor pyrin 3 (NLRP3)/caspase-1/gasdermin D (GSDMD) pathway-related proteins. Pyroptosis was detected using transmission electron microscopy. The interaction and co-localization of DDX3X and sequestosome 1 (SQSTM1) were identified using co-immunoprecipitation and immunofluorescence assays, respectively. For in vivo assessment, we established a xenograft model to validate the usenamine A-mediated effects and mechanisms of action in LUAD. RESULTS: Usenamine A inhibited the proliferation, migration, and invasion of LUAD cells. Furthermore, usenamine A induced NLRP3/caspase-1/GSDMD-mediated pyroptosis in LUAD cells. Usenamine A upregulated DDX3X expression to trigger pyroptosis. DDX3X interacted with SQSTM1, which is responsible for inducing pyroptosis. In vivo, usenamine A suppressed LUAD tumorigenesis by triggering NLRP3/caspase-1/GSDMD-mediated pyroptosis via the upregulation of the DDX3X/SQSTM1 axis. CONCLUSIONS: Usenamine A was found to induce NLRP3/caspase-1/GSDMD-mediated pyroptosis in LUAD by upregulating the DDX3X/SQSTM1 axis.

Nucleophosmin promotes lung adenocarcinoma cell proliferation, migration and invasion by activating the EGFR/MAPK signaling pathway.

Lung adenocarcinoma (LUAD) is the main cause of death globally. The present study investigated the prognostic value and functional verification of nucleophosmin (NPM1) in LUAD. LUAD and normal samples from The Cancer Genome Atlas were analyzed to identify whether NPM1 is associated with LUAD prognosis. NPM1 protein expression level was verified by western blotting. Cell proliferation, migration and invasion were detected by Cell Counting Kit­8, wound healing and Transwell assays, respectively. EGFR/MAPK pathway­related proteins [phosphorylated (p)­EGFR/EGFR, p­MEK/MEK, and p­ERK/ERK] expression was measured through western blotting. A xenograft tumor mice model was constructed to perform the in vivo verification. NPM1 was upregulated in LUAD cells, and high­level NPM1 indicated poor prognosis in patients with LUAD. In vitro experiments revealed that NPM1 knockdown inhibited LUAD cell proliferation, migration and invasion. Moreover, protein expression of p­EGFR/EGFR, p­MEK/MEK and p­ERK/ERK was reduced with the NPM1 silencing. Furthermore, EGF, an activator of the EGFR/MAPK pathway, reversed the effects of NPM1. In vivo experiments showed that NPM1 knockdown inhibited tumor growth and protein levels of p­EGFR/EGFR, p­MEK/MEK and p­ERK/ERK. NPM1 is related to the poor prognosis of LUAD and promotes the malignant progression of LUAD by activating the EGFR/MAPK pathway. This discovery provides a new potential therapeutic target for the diagnosis and treatment of LUAD.

Exploring the regulating mechanism of heat induced gelation of myosin by binding with Mb hemin prosthetic group.

The properties, structure and water holding capacity of myosin were analyzed after incubated with myoglobin (Mb) hemin prosthetic group. The results revealed moderate oxidation of hemin prosthetic group could improve the solubility of myosin. Besides, it could stretch the protein structure and cross-link the molecules to form the soluble polymer. Hence, moderate oxidation could improve the gel properties and the gel network structure. However, excessive oxidation would greatly reduce the physical and chemical properties of myosin, which was not conducive to the gel formation and would lead to a decrease in water retention. Moreover, fluorescence spectroscopy and cyclic voltammetry (CV) proved hemin prosthetic group had a high affinity for myosin. The interaction mechanism was further studied by molecular docking and molecular dynamics (MD) simulations. This study provides some fundamental prospects to be applied in the functional regulation of meat protein.

Study on Crack Development and Micro-Pore Mechanism of Expansive Soil Improved by Coal Gangue under Drying-Wetting Cycles.

Expansive soil is prone to cracks under a drying-wetting cycle environment, which brings many disasters to road engineering. The main purpose of this study is use coal gangue powder to improve expansive soil, in order to reduce its cracks and further explore its micro-pore mechanism. The drying-wetting cycles test is carried out on the soil sample, and the crack parameters of the soil sample are obtained by Matlab and Image J software. The roughness and micro-pore characteristics of the soil samples are revealed by means of the Laser confocal 3D microscope and Mercury intrusion meter. The results show that coal gangue powder reduces the crack area ratio of expansive soil by 48.9%, and the crack initiation time is delayed by at least 60 min. Coal gangue powder can increase the internal roughness of expansive soil. The greater the roughness of the soil, the less cracks in the soil. After six drying-wetting cycles, the porosity and average pore diameter of the improved and expanded soil are reduced by 37% and 30%, respectively, as compared to the plain expansive soil. By analyzing the cumulative pore volume and cumulative pore density parameters of soil samples, it is found that the macro-cracks are caused by the continuous connection and fusion of micro-voids in soil. Coal gangue powder can significantly reduce the proportion of micro-voids, cumulative pore volume, and cumulative pore density in expansive soil, so as to reduce the macro-cracks.

An electrochemical platform based on a hemin-rGO-cMWCNTs modified aptasensor for sensitive detection of kanamycin.

Kanamycin (KANA) residue in meat is particularly harmful to public health and there is an urgent need to establish a fast, accurate and low-cost method to determinate KANA in food quality control. In this paper, hemin-reduced graphene oxide-carboxylated multiwalled carbon nanotubes (hemin-rGO-cMWCNTs) were designed and prepared, and the characteristics of hemin-rGO-cMWCNTs are presented. After that, an aptamer/hemin-rGO-cMWCNTs sensor for determination of KANA was developed. The electrochemical characteristics were studied by cyclic voltammetry (CV), differential pulse voltammetry (DPV) and electrochemical impedance spectroscopy (EIS). Under optimal conditions, the sensitive response of the aptasensor towards KANA presented a wide concentration range of 10-9 to 10-6 M and a low detection limit of 0.36 nM (S/N = 3). Meanwhile, the aptasensor showed prominent selectivity, high stability and acceptable reproducibility in the application of KANA detection. In addition, the aptasensor detection in real samples correlated well with that obtained by liquid chromatograph mass spectrometer (LCMS).

Long non-coding RNA POU6F2-AS2 promotes cell proliferation and drug resistance in colon cancer by regulating miR-377/BRD4.

The aim of this study was to explore the molecular mechanism of lncRNA POU6F2-AS2 in proliferation and drug resistance of colon cancer. Total paired 70 colon cancer and adjacent normal tissues were collected from colon cancer patients. Colon cancer and normal colonic epithelial cells were purchased. POU6F2-AS2 was up- or down-expressed by vectors. LC50 of all cell lines before and after transfection with these plasmids was detected. qRT-PCR was used to detect the expression of POU6F2-AS2, miR-377 and BRD4 before or after transfection. In situ hybridization was also undertaken to detect the level of POU6F2-AS2. Different concentrations of 5-Fu (0, 1, 2.5, 5, 10, 20, 40 and 80 µg/mL) were used for 5-FU insensitivity assay. CCK-8 and crystal violet staining assay were used for detecting cell proliferation, and flow cytometry was used for identifying cell cycle distribution and apoptosis. In order to detect the fragmented DNA in apoptotic cells, TUNEL assay was used. RNA pull-down assay and luciferase reporter assay were used to verify the binding site. Rescue assay confirmed the subtractive effect of miR-377 inhibitors. POU6F2-AS2 was highly expressed in colon cancer, which was associated with clinical pathology. Up-regulated POU6F2-AS2 promoted cell proliferation and cell cycle of colon cancer cells. Overexpression of POU6F2-AS2 inhibited the expression of miR-377 and then up-regulated the expression of BRD4. Up-regulated BRD4 ultimately promoted cell proliferation and cell survival Down-regulated POU6F2-AS2 showed enhanced sensitivity of 5-FU. POU6F2-AS2 promoted cell proliferation and drug resistance in colon cancer by regulating miR-377/BRD4 gene.

Molecular cloning of androgen receptor and gene expression of sex steroid hormone receptors in the brain of newborn Chinese alligator (Alligator sinensis).

Sex steroid hormones play an important role in mediating physiological responses and developmental processes through their receptors across all vertebrates. Chinese alligator (Alligator sinensis) is a critically endangered reptile species unique to China. In this study, we have cloned one of the sex steroid hormone receptor genes, androgen receptor (AR) from the brain of Chinese alligator for the first time. The full-length AR cDNA is 2717 bp in length with an open reading frame (ORF) encoding 722 amino acids. Amino acid alignment analyses indicated that the ARs exhibit highly conserved functional domains. Especially, the P-box and D-box, which are essential to ensure that receptor binding to the androgen response elements, are completely conserved in selected species. Using the quantitative real-time PCR (qPCR), the spatial expression of four receptor mRNAs in all newborn brain tissues and temporal expression of them in the cerebrum during the embryonic development in Chinese alligators were investigated. The results of qPCR showed ubiquitous expression of the four receptor mRNAs in all newborn brain tissues examined and significant changes in the expression levels of these receptor mRNAs in the embryonic development. These results suggest that sex steroid hormones might play an important role in the regulation of complex neuroendocrine activities in newborn Chinese alligator. Furthermore, these data provide an important foundation for further studies on endocrinology and molecular biology of non-mammalian sex steroid hormone receptors.

Histone deacetylase 3 is associated with gastric cancer cell growth via the miR-454-mediated targeting of CHD5.

Gastric cancer (GC) is the third leading cause of cancer-related mortality in China and worlwide; hence, the identification of GC-related genes is necessary for the development of effective treatment strategies. In this study, histone deacetylase 3 (HDAC3) was identified as the most significantly upregulated cancer-related gene in GC tissues by microarray. In accordance with this, HDAC3 expression was found to be upregulated in GC cell lines/tissues. Further experiments indicated that the knockdown of HDAC3 decreased GC cell viability, reduced the colony formation number and decreased tumor weight. To explore the underlying mechanisms, the overexpression of HDAC3 was induced by transfection with an overexpression plasmid, followed by miRNA microarray, and we identified miR-454 as the most markedly upregulated miRNA. Accordingly, miR-454 expression was upregulated in GC cell lines/tissues and a high level of miR-454 indicated a high HDAC3 expression in GC tissues, and miR-454 knockdown reduced cell viability. In addition, a high level of miR-454 was significantly associated with an advanced clinical stage, lymph node metastases and a poor prognosis of patients with GC. Furthermore, CHD5 was identified as a direct target of miR-454. CHD5 was downregulated in GC tissues/cell lines and the expresssion of CHD5 inversely correlated with the level of miR-454 in GC tissues. Taken together, these observations indicate that HDAC3 is associated with GC cell growth via the miR-454-mediated targeting of CHD5.

A 15-gene signature for prediction of colon cancer recurrence and prognosis based on SVM.

OBJECTIVE: To screen the gene signature for distinguishing patients with high risks from those with low-risks for colon cancer recurrence and predicting their prognosis. METHODS: Five microarray datasets of colon cancer samples were collected from Gene Expression Omnibus database and one was obtained from The Cancer Genome Atlas (TCGA). After preprocessing, data in GSE17537 were analyzed using the Linear Models for Microarray data (LIMMA) method to identify the differentially expressed genes (DEGs). The DEGs further underwent PPI network-based neighborhood scoring and support vector machine (SVM) analyses to screen the feature genes associated with recurrence and prognosis, which were then validated by four datasets GSE38832, GSE17538, GSE28814 and TCGA using SVM and Cox regression analyses. RESULTS: A total of 1207 genes were identified as DEGs between recurrence and no-recurrence samples, including 726 downregulated and 481 upregulated genes. Using SVM analysis and five gene expression profile data confirmation, a 15-gene signature (HES5, ZNF417, GLRA2, OR8D2, HOXA7, FABP6, MUSK, HTR6, GRIP2, KLRK1, VEGFA, AKAP12, RHEB, NCRNA00152 and PMEPA1) were identified as a predictor of recurrence risk and prognosis for colon cancer patients. CONCLUSION: Our identified 15-gene signature may be useful to classify colon cancer patients with different prognosis and some genes in this signature may represent new therapeutic targets.

[Relationship between landscape pattern and river water quality in Wujingang region, Taihu Lake watershed].

Wujingang region was taken as the study area to explore the relationship between landscape pattern and river water quality. Remote sensing image was interpreted and buffer zones were constructed, and then landscape patterns characterized by land-use patterns and five selected landscape metrics including Number of patches (NP), Area-weighted mean patch fractal dimension (FRAC _AM), Shannon's diversity index (SHDI), Shannon' s evenness index (SHEI), Contagion index (CONTAG) in each buffer zone were obtained. By employing the correlation analysis between the landscape pattern and river water quality, the results indicated that the river water quality was influenced by landscape pattern. The percentage of built-up area was positively related with water quality indicators, demonstrating that the percentage of built-up area was one of the key factors affecting the river water quality, while the percentage of cultivated land showed a negative relationship. Furthermore, the relationships between the selected five landscape metrics and water quality were also revealed. SHDI and SHEI were significantly positively related with water quality indicators, while CONTAG showed the opposite relationship.