RESUMEN
The construction and operation of the construction and demolition waste (C&DW) landfills often encounter significant opposition from nearby residents, which is called the "not in my backyard" (NIMBY) effect. However, little is known about the formation mechanism of the NIMBY effect in C&DW landfilling, so this research was conducted for this purpose. First, the influencing factors leading to the NIMBY effect were determined based on a literature review and questionnaire survey. Then, the interrelationship and influencing path of critical factors were revealed using expert interviews and Interpretative Structural Modelling. The results shown that 12 factors from four levels (including residents, society, government, and enterprises) caused the NIMBY effect in C&DW landfilling. These factors formed a complex network comprising 18 influencing paths. Notably, policy and responding measures as pivotal bottom-level factors that trigger the NIMBY effect by indirectly impacting residents' rights awareness and shaping public perception towards C&DW landfill operation enterprises through directly affecting personal interest, cognitive bias, distrust, disposal technology, management level, opinion leader, and other intermediate factors, ultimately triggering the NIMBY effect. Moreover, strategies for mitigating or resolving the NIMBY effect were proposed, such as protecting personal reasonable interests, understanding the potential risks of C&DW landfills rationally, reporting the C&DW landfills from an objective perspective, improving policies and promoting public participation, and enhancing supervision of the C&DW landfills. The study added new knowledge to the current public's NIMBY effect in C&DW landfilling. Meanwhile, it also provided a reference for formulating C&DW landfilling policies and selecting landfill sites.
Asunto(s)
Eliminación de Residuos , Instalaciones de Eliminación de Residuos , Administración de Residuos , Administración de Residuos/métodos , Encuestas y Cuestionarios , HumanosRESUMEN
Hepatocellular carcinoma (HCC) is one of the most common malignant tumors globally and often develops on the foundation of chronic liver disease or cirrhosis. Cirrhosis is a clinically prevalent chronic progressive liver disease characterized by diffuse liver damage resulting from long-term or repeated actions of 1 or more etiological factors. However, the impact of CENPF and nuclear division cycle 80 (NDC80) genes on rehabilitation nursing of HCC and cirrhosis remains unclear. HCC and cirrhosis datasets GSE63898 and GSE89377 profile files were downloaded from the gene expression omnibus database generated on platforms GPL13667 and GPL6947, respectively. Differentially expressed genes (DEGs) screening, weighted gene co-expression network analysis (WGCNA), construction and analysis of protein-protein interaction (PPI) networks, functional enrichment analysis, gene set enrichment analysis (GSEA), survival analysis, immune infiltration analysis, and comparative toxicogenomics database (CTD) analysis were conducted. Gene expression heatmaps were plotted. miRNAs regulating central DEGs were selected through TargetScan. A total of 626 DEGs were identified. According to gene ontology (GO) analysis, they were primarily enriched in small molecule metabolic processes, drug metabolic processes, binding of identical proteins, and lipid metabolic processes. Kyoto Encyclopedia of Gene and Genome (KEGG) analysis results indicated that the target genes were mainly enriched in metabolic pathways, phagosomes, glycine, serine, and threonine metabolism. The construction and analysis of the PPI network revealed 3 core genes (NDC80, CENPF, RRM2). Gene expression heatmaps showed that core genes (CENPF, NDC80) were highly expressed in HCC and cirrhosis samples. CTD analysis found that 2 genes (CENPF and NDC80) were associated with liver, jaundice, ascites, fever, dyspepsia, and hepatic encephalopathy. CENPF and NDC80 are highly expressed in HCC and cirrhosis, and CENPF and NDC80 might be the biomarkers of rehabilitation nursing of HCC and cirrhosis.
Asunto(s)
Carcinoma Hepatocelular , Proteínas del Citoesqueleto , Cirrosis Hepática , Neoplasias Hepáticas , Carcinoma Hepatocelular/genética , Humanos , Neoplasias Hepáticas/genética , Cirrosis Hepática/genética , Proteínas Nucleares/genética , Proteínas Nucleares/metabolismo , Mapas de Interacción de Proteínas , Perfilación de la Expresión GénicaRESUMEN
BACKGROUND: There are often subtle early symptoms of colorectal cancer, a common malignancy of the intestinal tract. However, it is not yet clear how MYC and NCAPG2 are involved in colorectal cancer. METHOD: We obtained colorectal cancer datasets GSE32323 and GSE113513 from the Gene Expression Omnibus (GEO). After downloading, we identified differentially expressed genes (DEGs) and performed Weighted Gene Co-expression Network Analysis (WGCNA). We then undertook functional enrichment assay, gene set enrichment assay (GSEA) and immune infiltration assay. Protein-protein interaction (PPI) network construction and analysis were undertaken. Survival analysis and Comparative Toxicogenomics Database (CTD) analysis were conducted. A gene expression heat map was generated. We used TargetScan to identify miRNAs that are regulators of DEGs. RESULTS: 1117 DEGs were identified. Their predominant enrichment in activities like the cellular phase of the cell cycle, in cell proliferation, in nuclear and cytoplasmic localisation and in binding to protein-containing complexes was revealed by Gene Ontology (GO). When the enrichment data from GSE32323 and GSE113513 colon cancer datasets were merged, the primary enriched DEGs were linked to the cell cycle, protein complex, cell cycle control, calcium signalling and P53 signalling pathways. In particular, MYC, MAD2L1, CENPF, UBE2C, NUF2 and NCAPG2 were identified as highly expressed in colorectal cancer samples. Comparative Toxicogenomics Database (CTD) demonstrated that the core genes were implicated in the following processes: colorectal neoplasia, tumour cell transformation, inflammation and necrosis. CONCLUSIONS: High MYC and NCAPG2 expression has been observed in colorectal cancer, and increased MYC and NCAPG2 expression correlates with worse prognosis.
Asunto(s)
Neoplasias Colorrectales , Regulación Neoplásica de la Expresión Génica , Mapas de Interacción de Proteínas , Humanos , Neoplasias Colorrectales/genética , Neoplasias Colorrectales/patología , Neoplasias Colorrectales/metabolismo , Redes Reguladoras de Genes , Bases de Datos Genéticas , MicroARNs/genética , MicroARNs/metabolismo , Minería de Datos , Perfilación de la Expresión Génica , Proteínas Proto-Oncogénicas c-myc/metabolismo , Proteínas Proto-Oncogénicas c-myc/genética , Biomarcadores de Tumor/metabolismo , Biomarcadores de Tumor/genéticaRESUMEN
Biochar is a very promising material for soil remediation. However, most studies mainly focus on the adsorption ability of biochar on one heavy metal, which is difficult to evaluate the actual remediation effect since soils were contaminated with multiple heavy metals. In order to improve the soil remediation efficiency, we used the joint remediation method of magnetically modified biochar and ryegrass to remediate the soil polluted by compound heavy metals (chromium, nickel, copper, zinc, arsenic and cadmium), and evaluate the effect on the process of organic carbon mineralization in polluted soils. It was found that magnetic biochar and ryegrass together decreased the concentrations of Cr, Ni, Cu, Zn, As, and Cd in soils by 24.12 %, 23.30 %, 22.01 %, 9.98 %, 14.83 %, and 15.08 %, respectively, and reduced the available fractions. Ryegrass roots were the main accumulation part of heavy metals, and the order of enrichment effect was ranked as Zn > As > Cr > Cu > Ni > Cd. In addition, magnetic biochar can maintained the stability of the organic carbon pool, and inhibited the emission of volatile organic compounds from ryegrass. Overall, this study indicates that magnetic biochar spheres combined with ryegrass is an effective method for heavy metals co-contaminated soils, and has the excellent remediation ability for actual co-contaminated soils.