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266 result(s) for "Lin, Jianbin"
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π-Extended perylene diimide double-heterohelicenes as ambipolar organic semiconductors for broadband circularly polarized light detection
Despite great challenges, the development of new molecular structures with multiple and even conflicting characteristics are eagerly pursued for exploring advanced applications. To develop high-performance chiral organic semiconducting molecules, a distorted π-system is required for strong coupling with circularly polarized light (CPL), whereas planar π-stacking systems are necessary for high charge-carrier mobility. To address this dilemma, in this work, we introduce a skeleton merging approach through distortion of a perylene diimide (PDI) core with four fused heteroaromatics to form an ortho -π-extended PDI double-[7]heterohelicene. PDI double helicene inherits a high dissymmetry factor from the helicene skeleton, and the extended π-planar system concurrently maintains a high level of charge transport properties. In addition, ortho -π-extension of the PDI skeleton brings about near-infrared (NIR) light absorption and ambipolar charge transport abilities, endowing the corresponding organic phototransistors with high photoresponsivity of 450 and 120 mA W −1 in p - and n -type modes respectively, along with a high external quantum efficiency (89%) under NIR light irradiations. Remarkably, these multiple characteristics enable high-performance broadband CPL detections up to NIR spectral region with chiral organic semiconductors. In organic semiconducting molecules materials, distorted π-systems enable strong coupling with circular polarized light while planar π-stacking systems are necessary for high charge-carrier mobility. Here, the authors address this dilemma by introducing a skeleton merging approach through distortion of a perylene diimide core with four fused heteroaromatics to form a π-extended double helicene.
Research on the Energy-Saving Strategy of Path Planning for Electric Vehicles Considering Traffic Information
Battery-powered electric vehicles (EVs) have a limited on-board energy storage and present the problem of driving mileage anxiety. Moreover, battery energy storage density cannot be effectively improved in a short time, which is a technical bottleneck of EVs. By considering the impact of traffic information on energy consumption forecasting, an energy-saving path planning method for EVs that takes traffic information into account is proposed. The modeling process of the EV model and the construction process of the traffic simulation model are expounded. In addition, the long-term, short-term memory neural network (LSTM) model is selected to predict the energy consumption of EVs, and the sequence to sequence technology is used in the model to integrate the driving condition data of EVs with traffic information. In order to apply the predicted energy consumption to travel guidance, a road planning method with the optimal coupling of energy consumption and distance is proposed. The experimental results show that the energy-based economic path uses 9.9% lower energy consumption and 40.2% shorter travel time than the distance-based path, and a 1.5% lower energy consumption and 18.6% longer travel time than the time-based path.
Mxi1 participates in the progression of lung cancer via the microRNA-300/KLF9/GADD34 Axis
The purpose of the current study was to define the role of MAX interactor 1 (Mxi1) in the pathogenesis of lung cancer and its underlying molecular mechanism. Bioinformatics analysis was performed to identify important regulatory pathway related to lung cancer. Dual luciferase reporter and ChIP assays were adopted to validate the interaction among Mxi1, miR-300 and KLF9. Loss- and gain-of-function studies were conducted to determine the roles of Mxi1, miR-300, and KLF9 in cell proliferation, migration, and invasion in vitro and their effects on myeloid-derived suppressor cell (MDSC) recruitment in vivo. Mxi1 was poorly expressed in lung cancer tissues and cells and its poor expression was associated with poor prognosis. Mxi1 inhibited miR-300 by suppressing its transcription. miR-300 suppressed the expression of KLF9, and KLF9 negatively regulated GADD34 expression in lung cancer cells. Mxi1 or KLF9 elevation or miR-300 repression inhibited lung cancer cell proliferation, as evidenced by reduced Ki67 and PCNA expression, and lowered invasion and migration. In vivo findings revealed that silencing KLF9 induced tumor growth by enhancing MDSC-mediated immunosuppression through upregulation of GADD34. Collectively, these findings suggest that Mxi1 can inhibit lung cancer progression by regulating the miR-300/KLF9 axis and GADD34-mediated immunosuppression.
A facile non‐hydrogenated method for fabrication of black TiO2‐x/bacterial cellulose composites with improved photocatalytic performance
Black titanium dioxide (TiO2‐x) has attracted extensive attention owing to its visible light absorption and superior photodegradation activity. Here, black TiO2‐x nanocomposites are fabricated via a two‐step method followed by a heat treatment process under an argon atmosphere, and then the black TiO2‐x is loaded onto the bacterial cellulose surface by surface grafting. The presence of Ti3+ species and oxygen vacancies is proved by XPS characterisation. Furthermore, the black TiO2‐x exhibits excellent photocatalytic activity for pollutants degradation.
The LINC01260 Functions as a Tumor Suppressor via the miR-562/CYLD/NF-κB Pathway in Non-Small Cell Lung Cancer Retraction
Chen Y, Lei Y, Lin J, et al. Onco Targets Ther. 2020;13:10707-10719. At the author's request, we, the Editors and Publisher of OncoTargets and Therapy have retracted the following article. Following publication of the article, concerns were raised about the duplication of images from Figures 2, 4 and 7 with images from other unrelated articles. Specifically, Images for Figure 2D have been duplicated with images for Figure 2F from Luo J, Jin Y, Li M, Dong L. Tumor suppressor miR-613 induces cisplatin sensitivity in non-small cell lung cancer cells by targeting GJA1. Molecular Medicine Reports. 2021;23:385. https://doi.org/10.3892/mmr.2021.12024. The images for Figure 4A, sh-LINC01260 and sh-Control have been duplicated with the images for Figure 3A, NC and miR-613 mimics, respectively, from Luo et al, 2021. Images for Figure 4F have been duplicated with images for Figure 1D from Xu L, Zhang B, Li W. Downregulated expression levels of USP46 promote the resistance of ovarian cancer to cisplatin and are regulated by PUM2. Molecular Medicine Reports. 2021;23:263. https://doi.org/10.3892/mmr.2021.11902; Figure 3F from Zhang X, Lian T, Fan W, et al. Long-Noncoding RNA CASC9 Promotes Progression of Non-Small Cell Lung Cancer by Promoting the Expression of CDC6 Through Binding to HuR. Cancer Manag Res. 2020;12:9033-9043. https://doi.org/10.2147/CMAR.S268375; Figure 7d from Qu Z, Li S. Long noncoding RNA LINC01278 favors the progression of osteosarcoma via modulating miR-133a-3p/PTHR1 signaling. J Cell Physiol. 2020;1-13. https://doi.org/10.1002/jcp.29582 and Figure 7F from Zhang RL, Aimudula A, Dai JH, Bao YX. RASA1 inhibits the progression of renal cell carcinoma by decreasing the expression of miR-223-3p and promoting the expression of FBXW7. Biosci Rep. 2020;40(7):BSR20194143. doi: https://doi.org/10.1042/BSR20194143. The image for Figure 4G, PCNA, sh-LINC01260 has been duplicated with the image 3E, Ki-67, NC from Luo et al, 2021. Images for Figure 7F have been duplicated with images for Figure 1e from Liu S, Liu LH, Hu WW, Wang M. Long noncoding RNA TUG1 regulates the development of oral squamous cell carcinoma through sponging miR-524-5p to mediate DLX1 expression as a competitive endogenous RNA. J Cell Physiol. 2019;234:20206-20216. https://doi.org/10.1002/jcp.28620 and Figure 2D and 2H from Xing T, Chen P, Wu J, et al. UPF1 Participates in the Progression of Endometrial Cancer by Inhibiting the Expression of lncRNA PVT1. Onco Targets Ther. 2020;13:2103-2114. https://doi.org/10.2147/OTT.S233149. The authors explained that a third party had carried out the experiments and there had been an equipment malfunction. However, it was not made clear how this subsequently led to the duplication of several images across multiple, unrelated articles. In addition, the authors were unable to provide original data for the study. As verifying the validity of published work is core to the integrity of the scholarly record, the authors requested to retract the article and the Editor and Publisher agreed with this decision. We have been informed in our decision-making by our editorial policies and COPE guidelines. The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as 'Retracted'.
Assemblage Structure of the Ichthyoplankton and Its Relationship With Environmental Factors in Spring and Autumn off the Pearl River Estuary
Ichthyoplankton assemblages and their relationship with environmental variables are investigated in waters off the Pearl River Estuary in spring and autumn of 2019. Of 80 ichthyoplankton taxa identified using DNA barcode and morphological methods, 61 are identified to species. The most abundance families (Carangidae, Trichiuridae, Mullidae, and Scombridae) account for 61.34% of the horizontal total catch in spring, while Menidae and Carangidae are the most abundant families identified in autumn, accounting for 89.72% of the horizontal total catch. Cluster analysis identifies three species assemblages in spring, and four in autumn based on horizontal trawls. Relationships between assemblage structure and environmental variables ( in situ and remote sensed) are determined by canonical correspondence analysis. Ichthyoplankton assemblage structure appears to be strongly influenced by sea level anomalies, salinity, water depth, temperature at 10 m depth, and distance from shore. We demonstrate the efficacy of using DNA barcode to identify ichthyoplankton, and suggest how these data can be used to protect fish spawning grounds in waters off the Pearl River Estuary.
Molecular Identification of Species Diversity Using Pelagic Fish Eggs in Spring and Late Autumn-Winter in the Eastern Beibu Gulf, China
The Beibu Gulf is considered as one of China’s four major fishing grounds, although the substantial overexploitation of fisheries has led to the collapse of many fish stocks, and to changes to spawning grounds in recent decades. Classifying fish eggs is an important way to monitor the recruitment process and identify the spawning sites of fish. However, the lack of a basis for morphological identification and difficulties in correctly identifying fish eggs based on morphological characteristics has limited scientific studies. In the present study, we identified fish eggs using molecular detection of cytochrome c oxidase subunit I and cytochrome b fragments. Ichthyoplankton surveys were conducted in the spring and late autumn–winter of 2020 in the eastern Beibu Gulf. Among the DNA extracted from the 873 chosen fish eggs, we successfully obtained 541 high-quality cytochrome c oxidase subunit I sequences and 41 high-quality cytochrome b sequences. We successfully identified 212 fish eggs (36.4%) from 32 species; 291 eggs (50.0%) showed ambiguous species delimitation, and 79 eggs (13.6%) could not be identified. Among the identified species, we found 25 species in spring and 25 species in late autumn–winter, out of which 18 species occurred in both seasons. We also obtained high resolution photographs of fish eggs at the species level for further morphological analysis and identification. The present study confirms the efficacy of using molecular methods to identify fish species from eggs and provides valuable information for protecting the spawning ground of economically valuable fish and for managing fishery resources.
Stock Assessment of 19 Perciformes in the Beibu Gulf, China, Using a Length-Based Bayesian Biomass Method
The Beibu Gulf in China is rich in fish resources. However, only a small number of commercially developed fish stocks have been specifically assessed owing to limited data and expertise. In this study, 19 perciform fish populations in the Beibu Gulf were assessed using a length-based Bayesian biomass (LBB) estimator method, which is a new approach to evaluate a fishery’s status using length frequency (LF) data. The results showed that only 21% of the evaluated stocks were healthy and 79% were overfished. In particular, 26 and 21% of the assessed species had collapsed and were grossly overfished, respectively. Only 11 and 21% of the assessed species were slightly overfished and overfished, respectively. The ratios between the mean and optimum length ( L mean /L opt ) and between the mean length at first capture and the mean length, which maximizes catch and biomass ( L c /L c_opt ), were below one in 14 out of the 19 stocks, suggesting a truncated length structure and fishing of undersized individuals. The ratio of the 95th percentile length to asymptotic length L 95th /L inf was close to one (>0.9) in 10 of 19 stocks, suggesting that at least some large fish were still present. Our research confirmed that the fishery resources in the Beibu Gulf were seriously overfished and provided evidence that LBB was an efficient method to evaluate the fishery resources. Fishery managers need to take specific measures to restore fishery resources.
A one‐pot biosynthesis of an aerogel composite based on attapulgite clay/bacterial cellulose to remove Pb2+ ion
In the present work, the ATP and BC composite aerogel were prepared by dynamic air lift fermentation. The prepared method was easy, unlike most cellulose aerogels reported based on dissolution and regeneration of cellulose that need a certain amount of chemicals. This method can disperse attapulgite evenly on cellulose matrix, reduce agglomeration and improve adsorption performance. The ATP/BC composite aerogel was used to study the adsorption behaviour of Pb2+. Through this method, the problem of recovering ATP from wastewater is resolved. This work provides a promising approach with low cost and simple procedure to develop an eco-friendly adsorbent, which has a potential prospect in practical application.
CuxO-Modified Nanoporous Cu Foil as a Self-Supporting Electrode for Supercapacitor and Oxygen Evolution Reaction
Designing and modifying nanoporous metal foils to make them suitable for supercapacitor and catalysis is significant but challenging. In this work, CuxO nanoflakes have been successfully in situ grown on nanoporous Cu foil via a facile electrooxidation method. A Ga-assisted surface Ga-Cu alloying–dealloying is adopted to realize the formation of a nanoporous Cu layer on the flexible Cu foil. The following electrooxidation, at a constant potential, modifies the nanoporous Cu layer with CuxO nanoflakes. The optimum CuxO/Cu electrode (O-Cu-2h) delivers the maximum areal capacitance of 0.745 F cm−2 (410.27 F g−1) at 0.2 mA cm−2 and maintains 94.71% of the capacitance after 12,000 cycles. The supercapacitor consisted of the O-Cu-2h as the positive electrode and activated carbon as the negative electrode has an energy density of 24.20 Wh kg−1 and power density of 0.65 kW kg−1. The potential of using the electrode as oxygen evolution reaction catalysts is also investigated. The overpotential of O-Cu-2h at 10 mA cm−2 is 394 mV; however, the long-term stability still needs further improvement.