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Laryngeal cancer (LC) is the most common aggressive malignancy of the head and neck. LncRNA ZNFX1 antisense RNA 1 (ZFAS1) displays oncogenic properties in head and neck squamous cell carcinoma, but its regulatory role in laryngeal cancer progression remains obscure. Here, we found that ZFAS1 expression in laryngeal cancer tissues and cells was higher than that in adjacent normal tissues and normal nasopharyngeal epithelial cells. Highly expressed ZFAS1 was associated with advanced lymph node metastasis stages and clinical stages. ZFAS1 overexpression promoted LC cell proliferation, invasion, and N-cadherin and Vimentin expression, and suppressed E-cadherin expression. While ZFAS1 knockdown played an opposite role. Mechanistically, ZFAS1 stabilized RNA binding fox-1 homolog 2 (RBFOX2) protein expression by binding to RBFOX2, and RBFOX2 overexpression reversed the effect of ZFAS1 silence on cell functions. Moreover, highly expressed RBFOX2 led to skipping of MENA exon 11a and generating a pro-invasive isoform (MENA

To construct an FDG PET/CT metabolic parameter-based model to predict early recurrence of hepatocellular carcinoma (HCC) after liver transplantation (LT). A total of 62 patients with HCC after LT were enrolled with a follow-up period of 1 year. Basic clinical, pathology, and laboratory data, CT features (CPLC), and PET metabolic parameters (CPLCP) were collected for model construction. A CPLC nomogram without metabolic parameters and a CPLCP nomogram with metabolic parameters were established. The net reclassification index (NRI) and integrated discrimination improvement (IDI) of the two models were calculated. The constructed model was compared with Milan criteria and University of California San Francisco (UCSF) criteria. The time-dependent area under the receiver operating characteristic curve (time-AUC) was used to compare the efficiency of the models, and the bootstrap method was used to for verification. Harrell’s concordance index (C-index) was used to evaluate the performance of these models. Decision curve analysis (DCA) was used to evaluate the clinical practicability of each model. Thirty out of 62 patients experienced a recurrence during the 1-year follow-up. BCLC stage (P = 0.009), MVI (P = 0.032), AFP (P = 0.004), CTdmax (P = 0.033), and MTV (P = 0.039) were the independent predictors. The CPLC nomogram and the CPLCP nomogram were established. Compared with the CPLC nomogram, the NRI of the CPLCP nomogram increased by 38.98% (95% CI = −18.77–60.43%) and the IDI increased by 4.40% (95% CI = −1.00–16.62%). The AUC value of the CPLCP nomogram was higher than those of Milan criteria and UCSF criteria in the time-AUC curve. Moreover, the CPLCP nomogram had a higher C-index (0.774) than other models. Finally, the DCA curve showed that clinical practicability of the CPLCP nomogram outperformed the Milan criteria and UCSF criteria. The CPLCP nomogram combining basic clinical data, pathology data, laboratory data, CT features, and PET metabolic parameters showed good efficacy and high clinical practicability in predicting the early recurrence of HCC after LT.

Most oligonucleotides fail to enter a cell and cannot escape from endosomes after endocytosis because of their negative charge and large molecular weight. More efficient cellular delivery of oligonucleotides should be developed for the widespread implementation of antisense imaging. The purpose of this study was to construct a novel antisense nanoprobe, 99mTc-labeled anti-miRNA oligonucleotides/cell-penetrating peptide PepFect6 (99mTc-AMO/PF6), and to evaluate its efficacy for imaging the miRNA-21 expression in A549 lung adenocarcinoma xenografts. Naked AMO and commercial Lipofectamine 2000-based nanoparticles (AMO/LIP) were used for comparison. The cellular delivery efficiency of AMO/PF6 was first investigated by laser confocal scanning microscopy using Cy5.5-labeled probes and further validated by in vivo fluorescence imaging. Then, the probes were labeled with 99mTc via hydrazinonicotinamide (HYNIC). The cytotoxicity assay, cellular uptake, and retention kinetics of the probes were evaluated in vitro. The biodistribution of the probes was investigated in A549 lung cancer xenografts, and SPECT imaging was performed in vivo. AMO/PF6 showed lower cytotoxicity than AMO/LIP (P < 0.05) but showed no significant difference with naked AMO. Fluorescence microscopy demonstrated more extensive and scattered signal distribution inside the A549 cells by AMO/PF6 than AMO/LIP. The labeling efficiency of 99mTc-AMO/PF6 was 72.6 ± 1.42%, and the specific activity was 11.6 ± 0.13 MBq/ng. The cellular uptake of 99mTc-PF6/AMO peaked at 12 h, with the uptake of 11.24 ± 0.12 mol/cell × 10-16, and the cellular retention of 99mTc-AMO/PF6 was 3.92 ± 0.15 mol/cell × 10-16 at 12 h after interrupted incubation. AMO/PF6 showed higher cellular uptake and retention than naked AMO and AMO/LIP. The biodistribution study showed that the tumor had the highest radioactivity accumulation, with the uptake ratio of tumor/muscle (T/M) increasing from 14.59 ± 0.67 to 21.76 ± 0.98 between 1 and 6 h after injection, followed by the uptake in the kidneys and the liver. The results of in vivo fluorescence and SPECT imaging were consistent with the results of the biodistribution. The tumor was visualized at 6 h after injection of AMO/PF6 with the highest T/M ratio among these probes (P < 0.05). PF6 improves cellular delivery of antisense oligonucleotides via noncovalent nanoparticles. 99mTc-AMO/PF6 shows favorable imaging properties and is promising for miRNAs imaging in vivo.

Lymphovascular invasion (LVI) impairs surgical outcomes in lung adenocarcinoma (LAC) patients. Preoperative prediction of LVI is challenging by using traditional clinical and imaging parameters. The purpose of this study was to investigate the value of the radiomics nomogram integrating clinical factors, CT features, and maximum standardized uptake value (SUVmax) to predict LVI and outcome in LAC and to evaluate the additional value of the SUVmax to the PET/CT-based radiomics nomogram.A total of 272 LAC patients (87 LVI-present LACs and 185 LVI-absent LACs) with PET/CT scans were retrospectively enrolled, and 160 patients with SUVmax ≥ 2.5 of them were used for PET radiomics analysis. Clinical data and CT features were analyzed to select independent LVI predictors. The performance of the independent LVI predictors and SUVmax was evaluated. Two-dimensional (2D) and three-dimensional (3D) CT radiomics signatures (RSs) and PET-RS were constructed with the least absolute shrinkage and selection operator algorithm and radiomics scores (Rad-scores) were calculated. The radiomics nomograms, incorporating Rad-score and independent clinical and CT factors, with SUVmax (RNWS) or without SUVmax (RNWOS) were built. The performance of the models was assessed with respect to calibration, discrimination, and clinical usefulness. All the clinical, PET/CT, pathologic, therapeutic, and radiomics parameters were assessed to identify independent predictors of progression-free survival (PFS).CT morphology was the independent LVI predictor. SUVmax provided better discrimination capability compared with CT morphology in the training set (P 0.001) and test set (P = 0.042). A total of 1409 CT and PET radiomics features were extracted and reduced to 8, 8, and 10 features to build the 2D CT-RS, 3D CT-RS, and the PET-RS, respectively. There was no significant difference in AUC between the 2D-RS and 3D-RS (P 0.05), and 2D CT-RS showed a relatively higher AUC than 3D CT-RS. The CT-RS, the CT-RNWOS, and the CT-RNWS showed good discrimination in the training set (AUC [area under the curve], 0.799, 0.796, and 0.851, respectively) and the test set (AUC, 0.818, 0.822, and 0.838, respectively). There was significant difference in AUC between the CT-RNWS and CT-RNWOS (P = 0.044) in the training set. Decision curve analysis (DCA) demonstrated the CT-RNWS outperformed the CT-RS and the CT-RNWOS in terms of clinical usefulness. Furthermore, DCA showed the PETCT-RNWS provided the highest net benefit compared with the PET-RNWS and CT-RNWS. PFS was significantly different between the pathologic and RNWS-predicted LVI-present and LVI-absent patients (P 0.001). Carbohydrate antigen 125 (CA125), carcinoembryonic antigen (CEA), neuron-specific enolase (NSE), pathologic LVI, histologic subtype, and SUVmax were independent predictors of PFS in the 244 CT-RNWS-predicted cohort; and CA125, NSE, pathologic LVI, and SUVmax were the independent predictors of PFS in the 141 PETCT-RNWS-predicted cohort.The radiomics nomogram, incorporating Rad-score, clinical and PET/CT parameters, shows favorable predictive efficacy for LVI status in LAC. Pathologic LVI and SUVmax are associated with LAC prognosis.

We design a multilayer cylindrical structure to realize superscattering of underwater sound. Because of the near degeneracy of resonances in multiple channels of the structure, the scattering contributions from these resonances can overlap to break the single-channel limit of subwavelength objects. However, tuning the design parameters to achieve the target response is an optimization process which is tedious and time-consuming. Here, we demonstrate that a well-trained tandem neural network can deal with this problem efficiently, which can not only forwardly predict the scattering spectra of the multilayer structure with high precision, but also inversely design the required structural parameters efficiently.

Perineural invasion (PNI) has been recognized as an important prognosis factor in patients with colorectal cancer (CRC). The purpose of this retrospective study was to investigate the value ofA total of 131 patients with non-metastatic CRC who undergo PET/CT scan were retrospectively enrolled. Univariate analysis was used to compare the differences between PNI-present and PNI-absent groups. Multivariate logistic regression was performed to select the independent predictors for PNI status. Akaike information criterion (AIC) was used to select the best prediction models for PNI status. CT radiomics signatures (RSs) and PET-RSs were selected by maximum relevance minimum redundancy (mRMR) and the least absolute shrinkage and selection operator algorithm (LASSO) regression and radiomics scores (Rad-scores) were calculated for each patient. The prediction models with or without Rad-score were established. According to the nomogram, nomogram scores (Nomo-scores) were calculated for each patient. The performance of different models was assessed with the area under the curve (AUC), specificity, and sensitivity. The clinical usefulness was assessed by decision curve (DCA). Multivariate Cox regression was used to selected independent predictors of progression-free survival (PFS).Among all the clinical information, PET/CT features, and metabolic parameters, CEA, lymph node metastatic on PET/CT (N stage), and total lesion glycolysis (TLG) were independent predictors for PNI (p 0.05). Six CT-RSs and 12 PET-RSs were selected as the most valuable factors to predict PNI. The Rad-score calculated with these RSs was significantly different between PNI-present and PNI-absent groups (p 0.001). The AUC of the constructed model was 0.90 (95%CI: 0.83-0.97) in the training cohort and 0.80 (95%CI: 0.65-0.95) in the test cohort. The nomogram's predicting sensitivity was 0.84 and the specificity was 0.83 in the training cohort. The clinical model's predicting sensitivity and specificity were 0.66 and 0.85 in the training cohort, respectively. Besides, DCA showed that patients with non-metastatic CRC could get more benefit with our model. The results also indicated that N stage, PNI status, and the Nomo-score were independent predictors of PFS in patients with non-metastatic CRC.The nomogram, integrating clinical data, PET/CT features, metabolic parameters, and radiomics, performs well in predicting PNI status and is associated with the outcome in patients with non-metastatic CRC.

To develop and validate a radiomics nomogram for preoperative differentiating renal angiomyolipoma without visible fat (AML.wovf) from homogeneous clear cell renal cell carcinoma (hm-ccRCC). Ninety-nine patients with AML.wovf (n = 36) and hm-ccRCC (n = 63) were divided into a training set (n = 80) and a validation set (n = 19). Radiomics features were extracted from corticomedullary phase and nephrographic phase CT images. A radiomics signature was constructed and a radiomics score (Rad-score) was calculated. Demographics and CT findings were assessed to build a clinical factors model. Combined with the Rad-score and independent clinical factors, a radiomics nomogram was constructed. Nomogram performance was assessed with respect to calibration, discrimination, and clinical usefulness. Fourteen features were used to build the radiomics signature. The radiomics signature showed good discrimination in the training set (AUC [area under the curve], 0.879; 95%; confidence interval [CI], 0.793–0.966) and the validation set (AUC, 0.846; 95% CI, 0.643–1.000). The radiomics nomogram showed good calibration and discrimination in the training set (AUC, 0.896; 95% CI, 0.810–0.983) and the validation set (AUC, 0.949; 95% CI, 0.856–1.000) and showed better discrimination capability (p

Enhancer of zeste homolog 2 (EZH2) is a highly conserved histone methyltransferase, which is overexpressed in different types of cancers such as breast and prostate cancer. It is reported that EZH2 can directly down-regulate RUNX3 by increasing histone H3 methylation. However, the role of EZH2 in the development and progression of laryngeal carcinoma has not yet been investigated, and the relationship between EZH2 and RUNX3 in laryngeal carcinoma is rarely reported. The current study aims to determine the role of EZH2 in the progression of laryngeal carcinoma, and investigate the interaction between EZH2 and the tumor suppressor RUNX3. Our study found that EZH2 is overexpressed in laryngeal carcinoma patients, and silencing EZH2 by EZH2 siRNA significantly inhibited the proliferation of laryngeal carcinoma cells. Besides, we also found that RUNX3 is repressed in laryngeal carcinoma patients. Moreover, RUNX3 as a downstream target protein of EZH2 is up-regulated by EZH2 siRNA accompanied by a decrease in the trimethylation modification pattern of H3K27. RUNX3 siRNA inhibits the decreased proliferation induced by EZH2 siRNA. Furthermore, β-catenin protein expression is down-regulated by EZH2 siRNA and up-regulated by RUNX3 siRNA, and RUNX3 siRNA inhibits the down-regulation effect of EZH2 siRNA on β-catenin protein expression. Additionally, the Wnt/β-catenin activator BIO reverses the inhibitory effect of EZH2 siRNA on Hep-2 cell proliferation. Taken together, our results suggest that EZH2 regulates cell proliferation potentially by targeting RUNX3 through the Wnt/β-catenin signaling pathway in laryngeal carcinoma.

Objective: To evaluate the value of 2-dimensional (2D) and 3-dimensional (3D) computed tomography texture analysis (CTTA) models in distinguishing fat-poor angiomyolipoma (fpAML) from chromophobe renal cell carcinoma (chRCC). Methods: We retrospectively enrolled 32 fpAMLs and 24 chRCCs. Texture features were extracted from 2D and 3D regions of interest in triphasic CT images. The 2D and 3D CTTA models were constructed with the least absolute shrinkage and selection operator algorithm and texture scores were calculated. The diagnostic performance of the 2D and 3D CTTA models was evaluated with respect to calibration, discrimination, and clinical usefulness. Results: Of the 177 and 183 texture features extracted from 2D and 3D regions of interest, respectively, 5 2D features and 8 3D features were selected to build 2D and 3D CTTA models. The 2D CTTA model (area under the curve [AUC], 0.811; 95% confidence interval [CI], 0.695-0.927) and the 3D CTTA model (AUC, 0.915; 95% CI, 0.838-0.993) showed good discrimination and calibration ( P > .05). There was no significant difference in AUC between the 2 models ( P = .093). Decision curve analysis showed the 3D model outperformed the 2D model in terms of clinical usefulness. Conclusions: The CTTA models based on contrast-enhanced CT images had a high value in differentiating fpAML from chRCC.

Several organizations of RUC helped with the third CRECS (CRECS 2014). The most significant difference between this survey and the previous two rounds of surveys is that the CRECS 2014 was completed as a part of the Chinese General Social Survey (CGSS).

Supplementary_material_(1) for Contrast-Enhanced CT Texture Analysis for Distinguishing Fat-Poor Renal Angiomyolipoma From Chromophobe Renal Cell Carcinoma by Guangjie Yang, Aidi Gong, Pei Nie, Lei Yan, Wenjie Miao, Yujun Zhao, Jie Wu, Jingjing Cui, Yan Jia and Zhenguang Wang in Molecular Imaging

Economic growth in China has long been heavily dependent on investment in non-renewable fossil energy, characterized by high investment, high energy consumption, high emission and low output. It causes giant pressure on the ecological environment in China. With economic development, rapid expansion of urban areas and fast-growing vehicle ownership cause irreversible damages to the ecological environment. Due to frequent and long-lasting heavy smog in recent years, air pollution has become a major concern of the public, media and the government.

Microcystin-LR (MC-LR) is one of the most common biotoxin that pollutes water and agricultural products. The study aims to obtain the high sensitive anti-MC-LR single-chain antibody (scFv) for detecting MC-LR. Here, a MC-LR-immunized rabbit phage display scFv library with its capacity of 3.26×109CFU/mL was constructed and used for anti-MC-LR phage scFv particles screening. After four rounds of biopanning, 18 positives were isolated and identified successfully. The most positive scFv (RscFv3) was expressed in Escherichia coli HB2151 and purified with a concentration of 796.7μg/mL, and the purified anti-MC-LR polyclonal antibodies (PAbs) were 3.6mg/mL. The PAbs and scFv based indirect competitive enzyme linked immunosorbent assay (IC-ELISAs) were established for MC-LR and its analogues, and the results showed they all had high sensitive for MC-LR with detection limits of 0.03 and 0.05μg/L, and had strong cross-reactivity for MC-RR, MC-WR and MC-YR, respectively. The average recovery rate was 91.9% with coefficient of variation

Laryngeal squamous cell carcinoma (LSCC) is one of the most common head and neck cancers, with high mortality and incidence. MicroRNA-26a (miR-26a) is involved in the development and progression of several tumours. However, the roles of miR-26a and its target CKS2 in LSCC progression are not yet clear. The mRNA and protein expression was determined using RT-PCR and Western blotting assay, respectively. Cell proliferation was detected using a Cell Counting kit-8 assay (CCK-8). Transwell assay was used to evaluate cell migration and invasion. Dual-luciferase reporter assay was applied to determine the relationship between miR-26a and CKS2. In addition, a tumour xenograft model in nude mice was established to further determine the effects of miR-26a on tumourigenesis. In this study, we found that miR-26a level was down-regulated in LSCC tissues and cell lines, while CKS2 expression was increased. Cell proliferation, migration, invasion and the expression of MMP2 and MMP9 was suppressed by miR-26a overexpression, but enhanced by inhibition of miR-26a. Dual-luciferase reporter assay demonstrated that CKS2 is a direct target of miR-26a in AMC-HN-8 cells. Overexpression of miR-26a caused a significant reduction in CKS2 expression, and reinforced expression of CKS2 abolished the tumour-suppressive function of miR-26a. Moreover, miR-26a inhibited tumour growth in vivo. Taken together, miR-26a inhibited proliferation and tumourigenesis of LSCC via targeting CKS2 in vitro and in vivo.

Nasopharyngeal carcinoma (NPC) is frequently seen in Chinese, especially the population that resides in southeast China. Metastasis-associated protein 1 (MTA1) is a chromatin modifier and plays a role in tumor cell metastasis. IQGAP1 is a ubiquitously expressed protein that contributes to cytoskeleton remodeling. This study aimed to investigate the role of MTA1 and IQGAP1 in NPC malignant transformation. MTA1 and IQGAP1 expression in NPC (n=43) and control tissues (n=31) were detected using qRT-PCR, immunoblot and immunohistochemistry. MTA1 was overexpressed in CNE-1 and CNE-2 cell line by pcDNA3.1/MTA1 transfection. Dominant-negative p53 was transfected to inhibit p53 activity. si-IQGAP1 or dominant-negative IQGAP1 (IQGAP1?GRD) was used to suppress IQGAP1 activity. Cell proliferation was measured by CKK-8 assay. Cell migration was evaluated by Transwell assay. The results showed that MTA1 and IQGAP1 were highly expressed in NPC tissues compared with the controls. Forced expression of MTA1 accelerated cell proliferation and migration and upregulated IQGAP1 expression in a p53-independent way. Knockdown of IQGAP1 or transfection of dominant-negative IQGAP1 impeded tumor cell proliferation and migration as well as PI3K/Akt signaling induced by MTA1. In conclusion, MTA1 participates in NPC malignant transformation via regulating IQGAP1 expression and PI3K/Akt signaling pathway. This article is protected by copyright. All rights reserved

To provide the reasonable basis for scientific management of water resources and certain directive significance for sustaining health of Gufu River and even maintaining the stability of water ecosystem of the Three- Gorge Reservoir of Yangtze River, central China, multiple statistical methods including Cluster Analysis (CA), Discriminant Analysis (DA) and Principal Component Analysis (PCA) were performed to assess the spatial- temporal variations and interpret water quality data. The data were obtained during one year (2010~2011) of monitoring of 13 parameters at 21 different sites (3003 observations), Hierarchical CA classified 11 months into 2 periods (the first and second periods) and 21 sampling sites into 2 clusters, namely, respectively upper reaches with little anthropogenic interference (UR) and lower reaches running through the farming areas and towns that are subjected to some human interference (LR) of the sites, based on similarities in the water quality characteristics. Eight significant parameters (total phosphorus, total nitrogen, temperature, nitrate nitrogen, total organic carbon, total hardness, total alkalinity and silicon dioxide) were identified by DA, affording 100% correct assignations for temporal variation analysis, and five significant parameters (total phosphorus, total nitrogen, ammonia nitrogen, electrical conductivity and total organic carbon) were confirmed with 88% correct assignations for spatial variation analysis. PCA (varimax functionality) was applied to identify potential pollution sources based on the two clustered regions. Four Principal Components (PCs) with 91.19 and 80.57% total variances were obtained for the Upper Reaches (UR) and Lower Reaches (LR) regions, respectively. For the UR region, the rainfall runoff, soil erosion, scouring weathering of crustal materials and forest areas are the main sources of pollution. The pollution sources for the LR region are anthropogenic sources (domestic and agricultural runoff, hydropower exploitation and municipal waste). The study demonstrates the utility of multivariate statistical techniques for river water quality assessment, identification of pollution sources, and exploring spatial and temporal variations of water quality.

Increasing evidence indicates that the dysregulation of microRNAs is involved in tumor progression and development. The purpose of the present study was to explore the expression of microRNA-132 (miR-132) and its function in laryngeal squamous cell carcinoma (LSCC). The results showed that miR-132 expression was markedly upregulated in LSCC tissues and cell lines. Functional analyses indicated that overexpression of miR-132 enhanced cell proliferation and tumor growth, which resulted in the downregulation of p27 and p21 and the upregulation of cyclin D1. In addition, luciferase activity indicated that miR-132 directly targets FOXO1, and inhibits FOXO1 protein expression in LSCC cells. Further studies revealed that the ectopic expression of FOXO1 effectively reversed the cell growth induced by miR-132. Moreover, miR-132 also activated the PI3K/AKT pathway, which further decreased FOXO1 expression. In conclusion, these findings demonstrated that miR-132 plays an important oncogenic role in LSCC by modulating the PI3K/AKT/FOXO1 pathway at multiple levels, resulting in strong prognostic implication. Therefore, miR-132 might be a potential therapeutic strategy in LSCC.

To investigate the learning curve of cochlear implantation and its guiding significance for clinical surgery.A retrospective analysis of the clinical data of two otologists in early cochlear implant surgeries, including 98 cases of Dr. A and 54 cases of Dr. B.Statistics of the two doctors incidence of complications and operating time. Operation time as index were drawing a, b two groups of cases of scatter plot, the oscillating sine curve model Y = sin(X)-P/2 and logarithmic curve model Y = b1ln(X)+b0 curve fit were analyzed. Then, extract the early 90 cases of surgery by Dr. A which was divided into a, b, c three groups with 30 cases a group. The operating time and complications were further compared and analyzed(SPSS 16.0).From the operation sequence,A and B physicians, early operation cases cost more operating time, and more complications.Learning curve before and after about 30 cases appeared inflection point, showing a rapid decline in period (learning phase) and slow decline period (consolidation phase) in two stages.Group contrast to Dr. A's early 90 consecutive cases, the operating time of Phase b and Phase c decreased significantly than Phase a (P(a-b)0.01, P(a-c)0.01), while there was no significant difference between group Phase b and Phase c (P(b-c) = 0.68), the complication rate of Phase b and Phase c decreased significantly than Phase a (P(a-b)0.01, P(a-c)0.01), while there was no significant difference between group Phase b and Phase c (P(b-c) = 0.15).Our department of cochlear implantation followed the learning curve rule. The minimum number of cases that should accumulate in the learning phase needs about 30 cases.

The main purpose of this study conducted from August 2010 was to find biomass and productivity of epilithic algae and their relations to environmental factors and try to explore the restrictive factors affecting the growth of algae in the Gufu River, the one of the branches of Xiangxi River located in the Three Gorges Reservoir of the Yangtze River, Hubei Province, Central China. An improved method of in situ primary productivity measurement was utilized to estimate the primary production of the epilithic algae. It was shown that in rivers, lakes, and reservoirs, algae are the main primary producers and have a central role in the ecosystem. Chlorophyll a concentration and ash-free dry mass (AFDM) were estimated for epilithic algae of the Gufu River basin in Three Gorges Reservoir area. Environmental factors in the Gufu River ecosystem highlighted differences in periphyton chlorophyll a ranging from 1.49 mg m−2 (origin) to 69.58 mg m−2 (terminal point). The minimum and maximum gross primary productivity of epilithic algae were 96.12 and 1439.89 mg C m−2 day−1, respectively. The mean net primary productivity was 290.24 mg C m−2 day−1. The mean autotrophic index (AFDM:chlorophyll a) was 407.40. The net primary productivity, community respiration ratio (P/R ratio) ranged from 0.98 to 9.25 with a mean of 2.76, showed that autotrophic productivity was dominant in the river. Relationship between physicochemical characteristics and biomass was discussed through cluster and stepwise regression analysis which indicated that altitude, total nitrogen (TN), NO3−-N, and NH4+-N were significant environmental factors affecting the biomass of epilithic algae. However, a negative logarithmic relationship between altitude and the chlorophyll a of epilithic algae was high. The results also highlighted the importance of epilithic algae in maintaining the Gufu River basin ecosystems health.

It is important to do research on the source trustworthiness of the massive data under network environment. A detection method of source trustworthiness in text is proposed and designed based on cognitive hash. Based on the HowNet semantic features, this paper designs a text cognitive hash, and proposes a method evaluating feasible hash distance. Experimental results show the effectiveness of the proposed cognitive hash method.