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This study investigated a novel magnesium carbon micro-electrolysis (Mg-C ME) system for strengthening the removal of phenolic compounds in wastewater. The effects of the Mg/C mass ratio, aeration intensity, initial pH and reaction time on the degradation of three phenolic compounds and the COD removal efficiency in the simulated wastewater were evaluated using one-factor-at-a-time (OFAT) method. The optimum values obtained for the Mg/C mass ratio, aeration intensity, initial pH and reaction time were 3:1, 4.0 L/(L·min), 5.0 and 2.5 h, respectively. The experimental removal rates of catechol, resorcinol, and phenol, under the mentioned conditions, were obtained to be 95.6%, 71.5%, and 48.8%, respectively. Meanwhile, the COD removal rates were 63.8%,44.7%,34.0%, respectively. Moreover, experiments were designed and analyzed based on the box-based designing response surface (BBD-RSM) method. According to the results, the Mg/C mass ratio was the most significant variable showing incremental effect on the removal efficiency of catechol in a way that maximum removal efficiency of catechol was achieved in Mg/C mass ratio of 3.23:1. The validation experiments showed that the maximum removal efficiency of catechol was 96.24% under optimization conditions. Resorcinol degradation characteristics analysis indicated that the Mg-C ME system performed a key function in phenolic compounds elimination. Results showed that the Mg-C ME has a considerable capability in removing the phenolic compounds and COD. Thus, it could be considered as an efficient pretreatment choice for treating phenolic wastewater in the future.

Purpose This study aims to use a bottom-up, inductive approach to derive destination image attributes from large quantities of online consumer narratives and establish a destination classification system based on relationships among attributes and places. Design/methodology/approach Content and social network analyses were used to explore the consumer image structure for destinations based on online narratives. Cluster analysis was then used to group destinations by attributes, and ANOVA provided comparisons. Findings Twenty-two attributes were identified and combined into three groups (core, expected, latent). Destinations were classified into three clusters (comprehensive urban, scenic and lifestyle) based on their network centralities. Using data on Chinese tourism, the most mentioned (core) attributes were determined to be landscape, traffic within the destination, food and beverages and resource-based attractions. Social life was meaningful in consumer narratives but often overlooked by researchers. Practical implications Destinations should determine into which category they belong and then appeal to the real needs of tourists. Destination management organizations should provide the essential attributes while paying greater attention to highlighting the destinations’ social life atmosphere. Originality/value This research produced empirical work on Chinese tourism by combining a bottom-up, inductive research design with big data. It divided the 49 destinations into three categories and established a new system based on rich data to classify travel destinations.

Glioblastoma (GBM) is the most common malignant primary brain tumor, and GBM patients have a poor overall prognosis. CDC20 expression is increased in a variety of tumors and associated with temozolomide (TMZ) resistance in glioma cells. Apcin specifically binds to CDC20 to inhibit APC/C-CDC20 interaction and exhibits antitumor properties. The purpose of this article was to assess whether apcin inhibits tumor growth in glioma cell lines and increases the sensitivity of GBM to TMZ. In this study, a series of biochemical assays, such as Cell Counting Kit-8 (CCK-8), wound healing, apoptosis and colony formation assays, were performed to determine the antitumor properties of apcin in glioma cells. GBM cell apoptosis was detected by western blotting analysis of related proteins. Apcin increased the sensitivity of glioma to TMZ, as confirmed by CCK-8 and western blotting analysis. The results showed that apcin significantly inhibited the proliferation of glioma cells in a time- and dose-dependent manner. The migration decreased with increasing apcin concentrations. Increased Bim expression indicated that apcin promotes the apoptosis of glioma cells. Furthermore, apcin improved glioma sensitivity to TMZ. The results showed that apcin can effectively inhibit GBM growth and improve TMZ sensitivity. Apcin has the potential to treat GBM and is expected to provide new ideas for individualized treatment.

Colorectal cancer (CRC) is the fourth most common carcinoma with an increasing incidence in China [1]. In addition, comparing to solitary tumors, synchronous colorectal carcinoma (synchronous CRC) is a rare type of colorectal malignancy, which is defined as more than one primary colorectal carcinoma detected in one patient at the time of initial presentation [2]. The range of prevalence is 1.1%–8.1% of all colorectal cancers [3]. Synchronous CRC is often seen in males, and a previous large-scale study determined the male/female ratio as 1.85 [4]. The other known higher risk factors include inflammatory bowel diseases, Lynch syndrome, familial adenomatous polyposis, and adenomas/hyperplasic polyposis [5–8]. Moreover, the chromosomal instability, microsatellite instability (MSI), and gene methylation account for various predisposing lesions or factors for synchronous CRC [9]. Although synchronous CRC is identified as a significant entity at the clinical and molecular level, the clinical and pathological features and prognosis are yet controversial [5]. In addition, the results of previous studies which evaluated the prognostic significance of synchronous CRC are conflicting. Thus, the common consensus is reached on the occurrence of synchronous CRC as an independent predictive factor of survival as compared to solitary CRC after the operation [5,10,11]; the expected long-term survival rates of patients with synchronous CRC are yet controversial [12]. The present study aimed to compare the various clinicopathological features and short-term/long-term cancer-specific outcomes between synchronous and solitary CRC by a matched pair analysis with stratification based on age, sex, American Society of Anesthesiologists (ASA) class, BMI, cancer grade, tumor location, and tumor stage.

With rapid development of communication technology, the signal integrity is impacting the system performance much more than before. So either in the IC design or in the system design, it is very important to investigate negative timing analysis and its mathematical modeling in the high speed integrated circuit. In the paper, we introduce the origin of the negative timing script in the deep sub-micrometer process. Through analyzing the difference between the negative script simulation model and the ordinary timing simulation model, negative script mathematical modeling in deep sub-micrometer process is discussed. The method proposed in this paper is very useful for the high speed IC design and the system design.