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Whether protein samples should be pretreated to remove nonspecific binding proteins in co-immunoprecipitation (CO-IP) is controversial. In this work, nonspecific binding of proteins to agarose beads was found to be greater than that to magnetic beads. The nonspecific binding was increased with the decrease of ion concentrations but reduced by Nonidet P40. Western blot indicated that p65 and β-actin were present as nonspecifically bound protein to the beads. p53 and β-actin were present in the CO-IP precipitates of nuclear proteins but pretreatment cleared the nonspecifically pulled down p53 and β-actin. These data suggest that magnetic beads are better for CO-IP, but preclearing is necessary to minimize false positive regardless of which bead is used, particularly for nuclear proteins.

Head and neck squamous cell carcinoma (HNSCC) is a lethal malignancy. Given the essential roles of E3 ligases in cancer immunotherapies, this paper explored the effect of E3 ubiquitin ligase ring finger protein 125 (RNF125) on immune escape in HNSCC. After delivering overexpressed (oe)-RNF125, interferon-gamma, or oe-programmed death-ligand 1 (PD-L1) into HNSCC cells and cell culture with carboxyfluorescein succinimidyl ester-labeled CD8

Esophageal squamous cell carcinoma (ESCC) is the most common type of esophageal cancer (EC) in Asia. It is a malignant digestive tract tumor with abundant gene mutations. Due to the lack of specific diagnostic markers and early cancer screening markers, most patients are diagnosed at an advanced stage. Genetic and epigenetic changes are closely related to the occurrence and development of ESCC. Here, We review the activation of proto-oncogenes into oncogenes through gene mutation and gene amplification in ESCC from a genetic and epigenetic genome perspective, We also discuss the specific regulatory mechanisms through which these oncogenes mainly affect the biological function and occurrence and development of ESCC through specific regulatory mechanisms. In addition, we summarize the clinical application value of these oncogenes is summarized, and it provides a feasible direction for clinical use as potential therapeutic and diagnostic markers.

Postoperative adjuvant chemotherapy followed surgery is the standard management for localized advanced colorectal carcinoma (CRC). Mucinous adenocarcinoma (MAC) is a peculiar histological subtype of CRC, but the prognosis of MAC patients is controversial. The objective of this study is to assess the implication of MAC in survival of patients treated with surgery and firs-line adjuvant chemotherapy.Studies describing outcomes for advanced MAC and non-specific adenocarcinoma (AC) of CRC patients treated with first-line postoperative adjuvant chemotherapy followed surgery were searched in PubMed, Embase, Medline, EBSCO, Wiley, and Cochrane Library (January 1963-August 2021). Hazard ratios (HRs) of overall survival (OS), disease-free survival (DFS) and cancer-specific survival (CSS) for MAC to AC were extracted. Random-effects model was used for calculating the pooled HRs and 95% confidence interval (CI).This meta-analysis is comprised of 8 studies involving a total of 124,303 CRC patients treated with first-line adjuvant chemotherapy followed surgery. The pooled HR for MAC was 1.23 (95% CI, 1.07-1.41, p 0.01, IMAC was a risk factor for prognosis of localized advanced CRC patients treated with postoperative first-line adjuvant chemotherapy. Thus, the role of first-line adjuvant chemotherapy regimens should be further studied in these MAC patients.

PurposeRadiotherapy is one of the most important treatments for high-grade glioma (HGG), but the best way to delineate the target areas for radiotherapy remains controversial, so our aim was to compare the dosimetric differences in radiation treatment plans generated based on the European Organization for Research and Treatment of Cancer (EORTC) and National Research Group (NRG) consensus to provide evidence for optimal target delineation for HGG.MethodsWe prospectively enrolled 13 patients with a confirmed HGG from our hospital and assessed dosimetric differences in radiotherapy treatment plans generated according to the EORTC and NRG-2019 guidelines. For each patient, two treatment plans were generated. Dosimetric parameters were compared by dose–volume histograms for each plan.ResultsThe median volume for planning target volume (PTV) of EORTC plans, PTV1 of NRG-2019 plans, and PTV2 of NRG-2019 plans were 336.6 cm3 (range, 161.1–511.5 cm3), 365.3 cm3 (range, 123.4–535.0 cm3), and 263.2 cm3 (range, 116.8–497.7 cm3), respectively. Both treatment plans were found to have similar efficiency and evaluated as acceptable for patient treatment. Both treatment plans showed well conformal index and homogeneity index and were not statistically significantly different (P = 0.397 and P = 0.427, respectively). There was no significant difference in the volume percent of brain irradiated to 30, 46, and 60 Gy according to different target delineations (P = 0.397, P = 0.590, and P = 0.739, respectively). These two plans also showed no significant differences in the doses to the brain stem, optic chiasm, left and right optic nerves, left and right lens, left and right eyes, pituitary, and left and right temporal lobes (P = 0.858, P = 0.858, P = 0.701 and P = 0.794, P = 0.701 and P = 0.427, P = 0.489 and P = 0.898, P = 0.626, and P = 0.942 and P = 0.161, respectively).ConclusionThe NRG-2019 project did not increase the dose of organs at risk (OARs) radiation. This is a significant finding that further lays the groundwork for the application of the NRG-2019 consensus in the treatment of patients with HGGs.Clinical trial registrationThe effect of radiotherapy target area and glial fibrillary acidic protein (GFAP) on the prognosis of high-grade glioma and its mechanism, number ChiCTR2100046667. Registered 26 May 2021.

T-2 toxin (T2) poses a major threat to the health and productivity of animals and livestock. The induction of oxidative stress by T2 has been identified as a central factor in cellular damage. The Nrf2-ARE signaling pathway represents a crucial regulatory mechanism that protects cells from oxidative stress, with nuclear factor E2 related factor 2 (Nrf2) serving as a vital component in this defense. To date, there has been a lack of research on the role of Nrf2 in mediating the effects of T2-induced oxidative stress in broilers. The present study aimed to investigate the regulatory mechanism of Nrf2 protein derived from broilers against T2-induced oxidative damage by constructing Nrf2 overexpression and knockdown DF-1 cell lines. Normal DF-1 cells, Nrf2 overexpressing cells, and Nrf2 knockdown cells were subjected to treatment with 50nM T2 for 24 hours. Results showed that an increase in Nrf2 protein levels was associated with a decrease in oxidative stress in DF-1 cells (P

Background: Up to 30% colorectal carcinoma (CRC) are inherited tendency. Lynch syndrome (LS) which is caused by mismatch repair (MMR) genes germline mutation, is the most prevalent form of hereditary CRC. Ethnical and regional differences would lead to diverse characteristics of LS. However, Studies of LS from China are few and with relatively small sample sizes. Method: Immunohistochemistry (IHC) testing for MMR deficiency (dMMR) is advocated to preliminarily screen LS in recent guidelines. This single center retrospective study from central China performed IHC to prescreen dMMR and analyze the patterns and characteristics of dMMR CRCs. Results: 12.0% (180/1505) CRCs had dMMR status in this study, they had the universal features such as younger diagnostic age, more proximal colon location, more poorly differentiated with an excess of mucinous type, advanced pT stage and lower pN stage (all P ＜ 0.05), but had larger tumor size and less perineural invasion (all P ＜ 0.05) compared with proficiency MMR CRCs, which were not reported before. Moreover, PMS2 deficiency (8.7%) was common in this study which was different from studies in Western. MLH1/PMS2, isolated PMS2, MSH2/MSH6 and isolated MSH6 were the most common deficiency patterns, and the MSH2/MSH6 subtype had the most often family history. Conclusion: This study demonstrated dMMR CRCs from central China had the similar general characteristics as reported studies, but had larger tumor size and less perineural invasion which were not reported before. What’s more, PMS2 deficiency (8.7%) was common in this study which was different from studies in Western.

Objective: To develop a nomogram to predict the risk of microvascular invasion (MVI) in patients with large hepatocellular carcinoma (LHCC) in different clinical stages. Background: Accurately predicting the risk of MVI in LHCC patients before surgery can helps us make appropriate clinical decisions. This study aimed to develop and validate a nomogram to preoperatively predict MVI risk of LHCC patients in different staging systems. Methods A total of 545 LHCC patients were assigned to training (n=358) and validation (n=187) cohorts. Univariate and multivariate analyses were used to reveal independent risk factors of MVI, which were then incorporated into the predictive nomogram. The C-index, calibration curves, and ROC curves were used to evaluate the accuracy of nomogram. Kaplan-Meier method and Log-rank test were used to analyze the LHCC patients’ survival time according to MVI status and nomogram prediction. Results Histopathologically identified MVI was found in 167 and 84 patients in the training cohort and validation cohorts. The independent preoperative factors associated with MVI were serum AFP level ≥ 400ng/L, platelet (PLT) < 140.5×109/L, neutrophil-to-lymphocyte ratio (NLR) ≥ 2.94, incomplete tumor capsule and multiple tumors. Based on our nomogram, we found the risk of MVI in LHCC patients with BCLC stage 0/A or TNM I/II was lower than BCLC stage B/C or TNM III. Conclusions This study developed and validated a nomogram to predict MVI risk in LHCC patients before surgery, which had well consistency with postoperative histopatholgy. The nomogram was also valuable for clinical classification and tumor staging in LHCC.

Objective Colon cancer (CC) is one of the most common cancers worldwide and has a poor prognosis. Surgery followed by adjuvant chemotherapy is the standard treatment strategy for stage III CC patients. Primary tumor location (PTL) is an important factor for the long-term survival of CC. However, the difference in the prognosis between the histological subtypes of mucinous adenocarcinoma (MAC) and nonspecific adenocarcinoma (AC) in stage III CC patients is unclear. The correlation of chemotherapy, PTL and histological subtype with the overall survival (OS) of stage III CC patients has not yet been explored. Methods Patients diagnosed with stage III CC from 2010 to 2016 in the Surveillance, Epidemiology, and End Results (SEER) database were retrieved. The clinicopathological features and OS were analyzed according to the chemotherapy, PTL and histological subtype. Results A total of 28,765 eligible stage III CC patients were enrolled in this study. The results showed that chemotherapy, left-sided CC (LCC) and AC were favorable prognostic factors for OS. Right-sided CC (RCC) had worse OS than LCC regardless of chemotherapy. MAC had worse OS than AC in the patients with chemotherapy, but the survival benefits disappeared in the patients without chemotherapy. Additionally, in LCC, MAC had worse OS than AC regardless of chemotherapy. However, in RCC, MAC had worse OS than AC in patients with chemotherapy but had similar OS to AC in patients without chemotherapy. In the AC group, RCC had worse OS than LCC regardless of chemotherapy. In the MAC group, RCC had comparable OS to LCC regardless of chemotherapy. Four subgroups, i.e., RCC/MAC, RCC/AC, LCC/MAC and LCC/AC, all showed benefits from chemotherapy. Among them, LCC/AC had the best OS, and RCC/MAC had the worst OS compared with the other three subgroups. Conclusion The prognosis of MAC is worse than that of AC in stage III CC. LCC/AC has the best OS, while RCC/MAC has the worst OS but still benefits from chemotherapy. The impact of chemotherapy on survival is greater than that of histological subtype, but the impact of histological subtype on survival is similar to that of PTL.

Feature extraction and recognition of signals are the bases of a cognitive radio. Traditional manual extraction for signals’ features becomes difficult in the complex electromagnetic environment. Although convolutional neural networks (CNNs) can extract signal features automatically, they have low accuracy in recognizing electromagnetic signals at low signal-to-noise ratios (SNRs) due to the agility of signals. Considering the great potential of spiking neural networks (SNNs) in classification, a spiking convolution neural network (SCNN) for the recognition of electromagnetic signals is proposed in this paper. The SCNN effectively integrates the extraction ability of spatial features in CNNs and temporal features in SNNs. Since the SCNN is difficult to train, the strategy of surrogate gradient is proposed to train it. By taking the 2-dimensional time-frequency distribution of 6 signals as input, the SCNN can effectively identify different signals at low SNRs. The method proposed in this paper contributes to promote the research and application of SNNs in the recognition of electromagnetic signals.

Purpose: Hepatocellular carcinoma (HCC) harbors highly metastatic properties, accounting for postoperative recurrence and metastasis. However, the mechanisms for metastasis and recurrence remain incompletely clear. This study aimed to investigate the role of hsa-miR-487a (miR-487a) in promoting the proliferation and metastasis of HCC and to elucidate the underlying molecular mechanisms.Experimental Design: 198 HCC samples were analyzed for association between miR-487a expression and patient clinicopathological features and prognosis. The roles of miR-487a in proliferation and metastasis were validated both in vivo and in vitro. The upstream regulator and downstream targets of miR-487a were determined using a dual luciferase reporter assay, chromatin immunoprecipitation and immunohistochemistry.Results: Our results demonstrate that upregulated miR-487a correlates with a poor prognosis for HCC patients. miR-487a enhances proliferation and metastasis of HCC cells by directly binding to sprouty-related EVH1 domain containing 2 (SPRED2) or phosphoinositide-3-Kinase regulatory subunit 1 (PIK3R1). Interestingly, miR-487a mainly promotes metastasis via SPRED2 induced mitogen activated protein kinase signaling and promotes proliferation via PIK3R1 mediated AKT signaling. Transcription of miR-487a was found to be activated by up-regulated heat shock factor 1, which we previously demonstrated to be an important metastasis-associated transcription factor in a previous study. Phosphorodiamidate morpholino oligomers effectively silenced miR-487a and inhibited HCC tumor progression in mouse models.Conclusions: Our findings show that miR-487a, mediated by heat shock factor 1, promotes proliferation and metastasis of HCC by PIK3R1 and SPRED2 binding, respectively. Our study provides a rationale for developing miR-487a as a potential prognostic marker or a potential therapeutic target against HCC. Clin Cancer Res; 23(10); 2593–604. ©2016 AACR.

Supplementary Tables Table S1. Clinicopathologcal Characteristics of The Patients in Training Cohort and in Validation Cohort Table S2. The Association of miR-487a with Clinicopathological Features of HCC in Training Cohort Table S3. The Association of miR-487a with Clinicopathological Features of HCC in Validation Cohort Table S4. Univariate and Multivariate Analysis of Factors Associated with Overall Survival in Training Cohort Table S5. Univariate and Multivariate Analysis of Factors Associated with Disease-Free Survival in Training Cohort Table S6. Univariate and Multivariate Analysis of Factors Associated with Overall Survival in Validation Cohort. Table S7. Univariate and Multivariate Analysis of Factors Associated with Disease-Free Survival in Validation Cohort.

Supplementary figure legends for Figure S1-S14

Supplementary Material and Methods

Figure S1. Diagrammatic sketch of patients enrolled and groups designed. The detailed description was supplied in Method and Materials. Figure S2. In situ hybridization showed the miR-487a expression in HCC tissues. Figure S3. The infective efficiency of lentivirus in HCC cells. Figure S4. miR-487a promotes proliferation of HCC cells. Figure S5. miR-487a promotes proliferation and metastasis of MHCC97H and PLC/PRF/5. Figure S6. Protein and mRNA expression of SPRED2 and PIK3R1 in HCC tissues. Figure S7. miR-487a promotes proliferation via PIK3R1, but not SPRED2. Figure S8. miR-487a promotes proliferative or metastatic activity of HCC cells via PIK3R1 or SPRED2. Figure S9. miR-487a may promote proliferation or metastasis by regulating PIK3R1 mediated p-AKT or SPRED2 mediated p-ERK. Figure S10. Silencing of miR-487a suppresses HCC tumor growth and metastasis in vivo. Figure S11. The SPRED2, p-ERK, PIK3R1, p-AKT expression in serials sections of tumors collected from mice of HCCLM3Anti-miR-487a group and HCCLM3NC group. Figure S12. Schematic representation of the role and molecular mechanism of miR-487a in HCC. Figure S13. HCCLM3 cell labeled with luciferase is detectable by IVIS system. Figure S14. Morpholino-anti-miR-487a effectively suppresses the metastasis of HCC cells in HCC lung metastasis mouse model.

N-glycosylation is one of the most common types of protein modifications and it plays a vital role in normal physiological processes. However, aberrant N-glycan modifications are closely associated with the pathogenesis of diverse diseases, including processes such as malignant transformation and tumor progression. It is known that the N-glycan conformation of the associated glycoproteins is altered during different stages of hepatocarcinogenesis. Characterizing the heterogeneity and biological functions of glycans in liver cancer patients will facilitate a deeper understanding of the molecular mechanisms of liver injury and hepatocarcinogenesis. In this article, we review the role of N-glycosylation in hepatocarcinogenesis, focusing on epithelial-mesenchymal transition, extracellular matrix changes, and tumor microenvironment formation. We highlight the role of N-glycosylation in the pathogenesis of liver cancer and its potential applications in the treatment or diagnosis of liver cancer.

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Abnormal activation of Wnt/β-catenin-mediated transcription is closely associated with the malignancy of pancreatic cancer. Family with sequence similarity 83 member A (FAM83A) was shown recently to have oncogenic effects in a variety of cancer types, but the biological roles and molecular mechanisms of FAM83A in pancreatic cancer need further investigation. Here, we newly discovered that FAM83A binds directly to β-catenin and inhibits the assembly of the cytoplasmic destruction complex thus inhibiting the subsequent phosphorylation and degradation. FAM83A is mainly phosphorylated by the SRC non-receptor kinase family member BLK (B-lymphoid tyrosine kinase) at tyrosine 138 residue within the DUF1669 domain that mediates the FAM83A-β-catenin interaction. Moreover, FAM83A tyrosine 138 phosphorylation enhances oncogenic Wnt/β-catenin-mediated transcription through promoting β-catenin-TCF4 interaction and showed an elevated nucleus translocation, which inhibits the recruitment of histone deacetylases by TCF4. We also showed that FAM83A is a direct downstream target of Wnt/β-catenin signaling and correlates with the levels of Wnt target genes in human clinical pancreatic cancer tissues. Notably, the inhibitory peptides that target the FAM83A-β-catenin interaction significantly suppressed pancreatic cancer growth and metastasis in vitro and in vivo. Our results revealed that blocking the FAM83A cascade signaling defines a therapeutic target in human pancreatic cancer.

Systemic lupus erythematosus (SLE) is a common multisystem, multiorgan heterozygous autoimmune disease. The main pathological features of the disease are autoantibody production and immune complex deposition. Autophagy is an important mechanism to maintain cell homeostasis. Autophagy functional abnormalities lead to the accumulation of apoptosis and induce the autoantibodies that result in immune disorders. Therefore, improving autophagy may alleviate the development of SLE. For SLE, glucocorticoids or immunosuppressive agents are commonly used in clinical treatment, but long-term use of these drugs causes serious side effects in humans. Immunosuppressive agents are expensive. Traditional Chinese medicines (TCMs) are widely used for immune diseases due to their low toxicity and few side effects. Many recent studies found that TCM and its active ingredients affected the pathological development of SLE by regulating autophagy. This article explains how autophagy interferes with immune system homeostasis and participates in the occurrence and development of SLE. It also summarizes several studies on TCM-regulated autophagy intervention in SLE to generate new ideas for basic research, the development of novel medications, and the clinical treatment of SLE.

This work discloses an N-heterocyclic carbene (NHC) and base-mediated [3 + 3] annulation reaction of unsaturated carboxylic esters and sulfonium salts for rapid and direct access to enantioselective dihydropyrano[3,2-b]indoles.

Sequential incentive marketing is an important approach for online businesses to acquire customers, increase loyalty and boost sales. How to effectively allocate the incentives so as to maximize the return (e.g., business objectives) under the budget constraint, however, is less studied in the literature. This problem is technically challenging due to the facts that 1) the allocation strategy has to be learned using historically logged data, which is counterfactual in nature, and 2) both the optimality and feasibility (i.e., that cost cannot exceed budget) needs to be assessed before being deployed to online systems. In this paper, we formulate the problem as a constrained Markov decision process (CMDP). To solve the CMDP problem with logged counterfactual data, we propose an efficient learning algorithm which combines bisection search and model-based planning. First, the CMDP is converted into its dual using Lagrangian relaxation, which is proved to be monotonic with respect to the dual variable. Furthermore, we show that the dual problem can be solved by policy learning, with the optimal dual variable being found efficiently via bisection search (i.e., by taking advantage of the monotonicity). Lastly, we show that model-based planing can be used to effectively accelerate the joint optimization process without retraining the policy for every dual variable. Empirical results on synthetic and real marketing datasets confirm the effectiveness of our methods., Comment: Published at CIKM '19: Proceedings of the 28th ACM International Conference on Information and Knowledge Management

Electrode kinetics, gaseous CO2 dissolution, mass transfer, and equilibrium of pH buffer and bicarbonate are considered to illustrate the bioelectrochemical behaviors of an MES.

Fake detection has become an urgent task. Generative adversarial networks (GANs) extended to deep learning has shown its extraordinary ability in the fields of image, audio, and speech. But advanced technology benefits us, it also poses a threat to us when used in Cyber Crime. The Deepfake (common name for face manipulation methods) based on GANs can realize the replacement of different faces. Due to the development of GANs, faces generated by Deepfake can already be visually real. Deepfake can purposely replace any face to a different person, so that a fabricated event may be widely spread because of the convenience of the Internet, causing serious impacts such as personal attacks and cyber crime. Based on cutting-edge research , this paper proposes a intelligence forensic method of Deepfake detection. We first discover the subtle texture differences between real and fake image in image saliency, which shows difference in the texture of faces. To amplify this difference, we exploit guided filter with saliency map as guide map to enhance the texture artifacts caused by the post-processing and display the potential features of forgery. Resnet18 classification network efficiently learns the exposed difference and finally realizes the real and fake detection of face images. We evaluate the performance of the method and experiments verify that the proposed method can achieve the state-of-the-art detection accuracy .

Lake surface water temperature (LSWT) monitoring is significant as it provides valuable information on climate changes and resultant changes in lakes. Here, monthly moderate resolution imaging spectroradiometer LSWT data of 364 lakes during 2001–2015 were analysed to determine spatiotemporal patterns of daytime (LSWTd), nighttime (LSWTn), daily LSWT (LSWTm) and their drivers in the Qinghai-Tibet Plateau at monthly, seasonal and annual timescales. We focused on spatiotemporal heterogeneity of LSWT trends. Results showed climatological LSWT presented a saddle-shaped distribution along the northeast-southwest direction except for LSWTd in March, while highly heterogeneous LSWT trends without spatial dependence were observed at all timescales. Diurnal asymmetry of LSWT trends was evident with 56.04–88.19% lakes showing smaller LSWTd trends than LSWTn trends except for August and September. Further, we found lake surface albedo trend could effectively explain spatial patterns of LSWT trends at different timescales, and its interactions with other variable trends generally were the largest or second-largest.

It is of great significance to accurately detect ships on the ocean. To obtain higher detection performance, many researchers use deep learning to identify ships from images instead of traditional detection methods. Nevertheless, the marine environment is relatively complex, making it quite difficult to determine features of ship targets. In addition, many detection models contain a large amount of parameters, which is not suitable to deploy in devices with limited computing resources. The two problems restrict the application of ship detection. In this paper, firstly, an SAR ship detection dataset is built based on several databases, solving the problem of a small number of ship samples. Then, we integrate the SPP, ASFF, and DIOU-NMS module into original YOLOv3 to improve the ship detection performance. SPP and ASFF help enrich semantic information of ship targets. DIOU-NMS can lower the false alarm. The improved YOLOv3 has 93.37% mAP, 4.11% higher than YOLOv3 on the self-built dataset. Then, we use the MCP method to compress the improved YOLOv3. Under the pruning ratio of 80%, the obtained compressed model has only 6.7 M parameters. Experiments show that MCP outperforms NS and ThiNet. With the size of 26.8 MB, the compact model can run at 15 FPS on an NVIDIA TX2 embedded development board, 4.3 times faster than the baseline model. Our work will contribute to the development and application of ship detection on the sea.

Composite fillers are often used to improve the protective properties of coatings. To obtain a high protective performance of epoxy coatings for magnesium alloys, polyaniline (PANI) and graphene oxide (GO) composite powders were selected because of their corrosion inhibition and barrier performance, respectively. The paper mainly focuses on the effect of the preparation methods of the composite powders on the protective performance. PANI and GO composite powders were prepared by in situ polymerization and blending, respectively. First, the composite powder was characterized by X-ray diffractometer, Fourier transform infrared spectroscopy, and scanning electron microscopy. Then, the different composite powders and pure PANI powder were dispersed uniformly in epoxy resin, and the coating was prepared on the surface of the AZ91D magnesium alloy and studied by an electrochemical impedance test, adhesion strength test and physical properties test. The results show that the impedance value of the coating with the added PANI and GO composite powders by in situ polymerization was 4 × 109 Ω·cm2 and higher than that with the added pure PANI (4 × 109 Ω·cm2) and PANI and GO mixed powders (1 × 109 Ω·cm2) after 2400 h immersion in a 3.5% NaCl solution; the former also had better flexibility, ss impact resistance, and adhesion strength. Compared with the direct blending method, the PANI and GO polymerization powders can exert the shielding effect of GO and PANI corrosion inhibition better and achieve a better protective effect on the magnesium alloy.

The rapidly growing power data in smart grids have created difficulties in security management. The processing of large-scale power data with the use of artificial intelligence methods has become a hotspot research topic. Considering the early warning detection problem of smart meters, this paper proposes an abnormal data detection network based on Deep Reinforcement Learning, which includes a main network and a target network composed of deep learning networks. This work uses the greedy policy algorithm to find the action of the maximum value of Q based on the Q-learning method to obtain the optimal calculation policy. It also uses the reward value and discount factor to optimize the target value. In particular, this study uses the fuzzy c-means method to predict the future state information value, which improves the computational accuracy of the Deep Reinforcement Learning model. The experimental results show that compared with the traditional smart meter data anomaly detection method, the proposed model improves the accuracy of meter data anomaly detection.

Background Colon cancer is largely implicated in elderly patients (age ≥ 60 years). The prognosis of patients diagnosed with the M1b stage is vastly poor. Marital and insurance status has been considered important prognostic factors in various cancer types. However, how these factors influence elderly patients with stage M1b colon cancer remains to be explored. This study aims to uncover the role of marital and insurance status in the survival of elderly patients with stage M1b colon cancer. Methods We retrieved data for patients diagnosed with stage M1b colon cancer between 2010 and 2016 from the Surveillance, Epidemiology, and End Results (SEER) database. Our analysis of the clinicopathological features, overall survival (OS), and cancer-specific survival (CSS) was based on the marital and insurance status, respectively. Results In sum, 5709 stage M1b colon cancer patients with complete information from SEER were enrolled for analysis. The OS and CSS of the Non-married group were poorer compared to that of the Married group. The OS and CSS of the Uninsured group were poorer than both of the Insured group and Medicaid group. However, OS was comparable between Uninsured group and Medicaid groups. The findings allude that marital and insurance status potentially impact the long-term survival of elderly patients with M1b colon cancer. The subgroup survival analyses revealed the lowest risk for death among the Insured Married group based on the comparison of the OS and CSS across all other groups. Moreover, Univariate and multivariate analyses revealed race, marital status, surgery, and chemotherapy as independent predictors for OS, whereas insurance status, surgery,and chemotherapy were independent predictors for CSS in elderly patients with M1b colon cancer. Conclusion The marital and insurance status greatly impact the survival of elderly patients with M1b colon cancer. Therefore, it is imperative to provide more support to this vulnerable patient group who are lonely and uninsured, particularly in the psychological and health insurance aspect.

Mucinous histology is generally considered as a risk factor of prognosis in stage II colon cancer, but there is no appropriate model for prognostic evaluation and treatment decision in patients with stage II colon mucinous adenocarcinoma (C-MAC) Thus, it is urgent to develop a comprehensive, individualized evaluation tool to reflect the heterogeneity of stage II C-MAC.Patients with stage II C-MAC who underwent surgical treatment in the Surveillance, Epidemiology, and End Results Program were enrolled and randomly divided into training cohort (70%) and internal validation cohort (30%). Prognostic predictors which were determined by univariate and multivariate analysis in the training cohort were included in the nomogram. The calibration curves, decision curve analysis, X-tile analysis, and Kaplan-Meier curve of the nomogram were validated in the internal validation cohort.Three thousand seven hundred sixty-two patients of stage II C-MAC were enrolled. The age, pathological T (pT) stage, tumor number, serum carcinoembryonic antigen (CEA), and perineural invasion (PNI) were independent predictors of overall survival (OS), which were used to establish a nomogram. Calibration curves of the nomogram indicated good consistency between nomogram prediction and actual survival for 1-, 3- and 5-year OS. Besides, patients with stage II C-MAC could be divided into high-, middle-, and low-risk subgroups by the nomogram. Further subgroup analysis indicated that patients in the high-risk group could have a survival benefit from chemotherapy after surgical treatment.We established the first nomogram to accurately predict the survival of stage II C-MAC patients who underwent surgical treatment. In addition, the nomogram identified low-, middle-, and high-risk subgroups of patients and found chemotherapy might improve survival in the high-risk subgroup of stage II C-MAC patients.

The MRE11-RAD50-NBS1 (MRN) complex plays a crucial role in DNA double-strand breaks (DSBs) sensing and initiation of signaling cascades. However, the precise mechanisms by which the recruitment of MRN complex is regulated has yet to be elucidated. Here, we identified TRIpartite motif-containing protein 24 (TRIM24), a protein considered as an oncogene overexpressed in cancers, as a novel signaling molecule in response to DSBs. TRIM24 is essential for DSBs-induced recruitment of MRN complex and activation of downstream signaling. In the absence of TRIM24, MRN mediated DSBs repair is remarkably diminished. Mechanistically, TRIM24 is phosphorylated by ataxia-telangiectasia mutated (ATM) and then recruited to DSBs sites, facilitating the accumulation of the MRN components to chromatin. Depletion of TRIM24 sensitizes human hepatocellular carcinoma cells to cancer therapy agent-induced apoptosis and retards the tumor growth in a subcutaneous xenograft tumor mouse model. Together, our data reveal a novel function of TRIM24 in response to DSBs through regulating the MRN complex, which suggests that TRIM24 may be a potential therapeutic molecular target for tumor treatment.

Much research has assumed that Notch codes one protein. Then the protein will be cleaved into two parts and regenerates a heterodimers receptor to construct Notch signal pathways to regulate development in the past three decades. Here, we show that Notch in brown planthopper is a complex alternatively spliced gene has at least three transcriptional start sites, four exon skips, and 21 transcriptional endpoints that uses these to form variants and codes a series of proteins. When used dsRNAs to suppression different regions of the full-length variant NlNF resulted in a similar phenotype. Insects were molting after treatment, sensation circles on antennas near to root decayed, bristles on wings shortened, thickened or disappeared, accompanied by thickening veins and blades of fore-wing apex regions thickened. These results suggested that Notch influenced developmental of sensation circles, bristles, veins, and blades in nymph late periods. This study has deepened our understanding of Notch.

Fatty acids (FAs) in oilseeds are important for human health. Gas chromatography-mass spectrometry (GC-MS) is a popular analytical technology for FAs measurement. FAs need to be derivatized into fatty acid methyl esters (FAMEs), which is essential for GC-MS analysis. The previous methods for methylation of FAs usually include reaction at high temperature and need specific vessels, for which samples with a large scale cannot be analyzed in a short time, leading to low efficiency. Here we report a high-throughput method for profiling fatty acids in plant seeds based on one-step acid-catalyzed methylation followed by GC-MS. This method for FA methylation via derivatization by sulfuric acid with methanol (5%, v/v) and incubation at 64 °C for 4 h in a more convenient 2 mL tube, is efficient. Satisfactory methodological performance was achieved by optimization of the parameters. Only 5 mg seeds were needed as a microscale sample usage by this method. The method is a successful approach to increase the efficiency of sample preparation and analysis for large-scale experiments.

With rapid urbanization and extreme rainstorm events associated with climate change, urban waterlogging has become one of the most frequent and severe disasters globally. In this study, a multi-dimensional and multi-process index system based on the Pressure-State-Response (PSR) framework was developed to measure the level of urban waterlogging resilience (UWR). The spatial distribution of UWR on a block scale was explored based on the entropy weight method with the natural breakpoint method (EWM-NBM) in the central district of Wuhan City, China. In addition, the effects of the runoff control facilities and early warning measures on UWR were also quantified. Further, the Geodetector was used to investigate the main driving factors of UWR and their interactions. Results showed that the constructed index system for UWR based on the PSR framework performed reasonably, and the EWM-NBM was validated to be effective in the integrated assessment. In terms of the validation results, 82.72 % of the recorded waterlogging points belonged to high and very-high risk levels. The spatial heterogeneity of UWR was significant in the study area where the higher-level UWR mainly appears in the areas near the undeveloped suburban and water bodies (lakes and rivers), and the lower-level UWR was concentrated in central urban areas with more impervious surfaces. There was a clear increasing trend in UWR after the implementation of runoff control facilities and early warning measures, but its spatial distribution remained almost invariant. Among all the indexes, the impervious surface percentage had the strongest (69.58 %) explanatory ability for the UWR, and mean annual precipitation (15.51 %), GDP (14.03 %), and population density (11.98 %) also demanded attention. Most driving factors of UWR showed nonlinear interactions. This research could provide a benchmark for urban planning to enhance UWR to mitigate the waterlogging within the main urban area.

Pancreatic cancer is one of the tumors with a poor prognosis. Therefore, it is significant and urgent to explore effective biomarkers for risk stratification and prognosis prediction to promote individualized treatment and prolong the survival of patients with PAAD. In this study, we identified Wnt/β-catenin- and autophagy-related long non-coding RNAs (lncRNAs) and demonstrated their role in predicting immune efficacy for PAAD patients. The univariate and multivariate Cox proportional hazards analyses were used to construct a prognostic risk model based on six autophagy- and Wnt/β-catenin-related lncRNAs (warlncRNAs): LINC01347, CASC8, C8orf31, LINC00612, UCA1, and GUSBP11. The high-risk patients were significantly associated with poor overall survival (OS). The receiver operating characteristic (ROC) curve analysis was used to assess the predictive accuracy of the prognostic risk model. The prediction efficiency was supported by the results of an independent validation cohort. Subsequently, a prognostic nomogram combining warlncRNAs with clinical indicators was constructed and showed a good predictive efficiency for survival risk stratification. Furthermore, functional enrichment analysis demonstrated that the signature according to warlncRNAs is closely linked to malignancy-associated immunoregulatory pathways. Correlation analysis uncovered that warlncRNAs’ signature was considerably associated with immunocyte infiltration, immune efficacy, tumor microenvironment score, and drug resistance.

Microbial electrosynthesis is a biocathode-driven device for chemicals production from carbon dioxide reduction and has been a promising carbon-consuming technology to alleviate the greenhouse effect and acquire the renewable energy. However, previous studies primarily focused on the effect of the operating parameters on the biocathode with an indirect electron transfer (IDET) pathway instead of a direct electron transfer (DET) pathway for CO2 reduction. In this work, we aim to study the effect of the operating parameters, including temperature, inorganic carbon source, and initial pH value, on the biocathode with a DET pathway for CO2 reduction to CH4. The CH4-producing biocathodes showed the respective optimum performance at the condition of 35 °C temperature, 4 g L−1 bicarbonate concentration, and pH 7.5 catholyte. This work provides an important guidance for the operation and development of microbial electrosynthesis for CO2 reduction to chemicals.

Excessive iron accumulation and lipid peroxidation are primary characteristics of ferroptosis in hepatocellular carcinoma (HCC). Ferroptosis inducer combined with immunotherapy has become a new hope for HCC patients. Therefore, the construction and validation of subtype-specific sensitivity to ferroptosis inducer will be helpful for hierarchical management and precise individual therapy.RNA-seq transcriptome and clinical data of HCC patients were extracted from International Cancer Genome Consortium (ICGC) dataset and The Cancer Genome Atlas (TCGA) dataset. Consistency matrix and data clustering of the both cohorts were constructed by 'ConsensusClusterPlus' package. Single-sample gene set enrichment analysis (ssGSEA) analysis was performed to evaluate immune infiltration. Cox analysis was utilized to construct a ferroptosis phenotype-related prognostic model (FRPM) in HCC. The predictive efficiency of the constructed FRPM was evaluated through Kaplan Meier (K-M) survival analyses and Receiver Operating Characteristic (ROC) curves. The expression levels of candidate genes were detected and validated by Real-Time PCR between liver cancer tissues and adjacent non-tumor liver tissues.45 differentially expressed ferroptosis-related genes (FRGs) were identified between HCC tissues and non-tumor liver tissues. Furthermore, four ferroptosis-associated clusters (FACs) of HCC were established via consensus clustering. Subsequently, we established a FRPM, consisting of four prognostic genes (SLC7A11, SLC1A5, GCLM and SAT1), to evaluate the survival of HCC patients, based on which, patients were divided into high-risk group and low-risk group. The high-risk group exhibited worse survival compared to low-risk group (p 0.0001 both in TCGA and ICGC cohorts). Patients belong to different FACs or different risk scores showed distinct clinical characteristics. Moreover, in the validation experiment, the transcriptional expression levels of the four prognostic genes were consistent with the results drew from datasets.We revealed a novel FRGs signature, which may provide the molecular characteristic data for effectively prognostic evaluation and potential personalized therapy for HCC patients.