The development of biodegradable and antibacterial hemostatic materials with high blood absorption to halt the internal hemorrhage of deep noncompressible wounds remains a challenge. In this study, a ...novel hemostatic nanocomposite (OBC/COL/CS) was fabricated by coupling oxidized bacterial cellulose (OBC) and chitosan (CS) with collagen (COL), that is, during the electrostatic self-assembly of OBC with CS (OBC/CS), COL was ingeniously attached as a functional component by the electrostatic attraction of cationic CS and anionic OBC. The introduction of collagen was anticipated to provide functional properties such as enhanced hemostasis and promotion of wound healing so as to achieve a new functional composite. This study is the first to evaluate the performance of OBC, OBC/CS, and the OBC/COL/CS composite for rapid internal hemostasis using a rat liver injury model. To our knowledge, this is also the first study to report that OBC has a faster biodegradability in vivo than commercial hemostatic oxidized regenerated plant cellulose (ORC). The OBC/COL/CS nanocomposite exhibited appropriate mechanical strength, broad spectrum antimicrobial properties, and excellent biodegradation in vivo. Furthermore, excellent hemostatic efficacy of the composite was confirmed in vivo. OBC/COL/CS exhibited greater procoagulant properties and blood-clotting capability, higher adhesion of erythrocytes and platelets with concomitant lower blood loss, in addition to ultrafast cessation of bleeding, superior to the commercial hemostatic ORC product Surgicel gauze. The results suggest that the OBC/COL/CS is a fast and efficient procoagulant agent with good antibacterial properties and great potential for use as an absorbable hemostat for control of internal bleeding.
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IJS, KILJ, NUK, PNG, UL, UM
Bacterial nanocellulose (BNC) is an excellent candidate biomaterial for wound dressing applications, although its preparation should consider the differences in wound healing resulting from BNC ...biosynthesized by different bacterial strains. This study design aimed to characterize the BNC produced by three different bacterial strains and compare their effectiveness for wound healing applications. The results demonstrated that the upper surfaces of the BNC membranes were clearly denser and more compact than the lower surfaces, while all varieties were capable of serving as a physical barrier to the invasion of bacteria. The growth of fibroblasts demonstrated that the lower surfaces of BNC membranes exhibited biocompatibility superior to that of the upper surfaces. In vivo analysis indicated that, of all samples, wounds treated with the BNC membrane synthesized by DHU-WX-1 displayed the greatest wound repair efficacy. The results indicate that BNC biosynthesized by different strains displayed different wound healing effectiveness. Placing the lower surface of BNC membranes in contact with wounds, with the denser upper surface outward, satisfied the clinical requirements of a wound repair biomaterial.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
With the rapid development of marine IoT (Internet of Things), ocean MDTN (Mobile Delay Tolerant Network) has become a research hot spot. Long-term trajectory prediction is a key issue in MDTN. There ...are no long-term fine-grained trajectory prediction methods proposed for ocean vessels because a vessel’s mobility pattern lacks map topology support and can be easily influenced by the fish moratorium, sunshine duration, etc. A traditional on-land trajectory prediction algorithm cannot be directly utilized in this field because trajectory characteristics of ocean vessels are far different from that on land. To address the problem above, we propose a novel long-term trajectory prediction algorithm for ocean vessels, called L-VTP, by utilizing multiple sailing related parameters and K-order multivariate Markov Chain. L-VTP utilizes multiple sailing related parameters to build multiple state-transition matrices for trajectory prediction based on quantitative uncertainty analysis of trajectories. Trajectories’ sparsity of ocean vessels results in a critical state missing problem of a high-order state-transition matrix. L-VTP automatically traverses other matrices in a specific sequence in terms of quantitative uncertainty results to overcome this problem. Furthermore, the different mobility models of the same vessel during the day and the night are also exploited to improve the prediction accuracy. Privacy issues have been taken into consideration in this paper. A quantitative model considering Markov order, training metadata and privacy leak degree is proposed to help the participant make the trade-off based on their customized requirements. We have performed extensive experiments on two years of real-world trajectory data that include more than two thousand vessels. The experiment results demonstrate that L-VTP can realize fine-grained long-term trajectory prediction with the consideration of privacy issues. The average error of 4.5-hour fine-grained prediction is less than 500 m. In addition, the proposed method can be extended to 10-hour prediction with an average error of 2.16 km, which is also far less than the communication range of ocean vessel communication devices.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
A new series of dinuclear lanthanide complexes, Ln 2 (Hshi) 2 DBM 4 ·2DMF (Ln = Sm, Eu, Gd, Dy, Nd and Yb) were synthesized using H 3 shi (H 3 shi = salicylhydroxamic acid) and a β-diketonate ligand ...(DBM = dibenzoylmethanide). The two Ln( iii ) ions in the molecules are bridged by a salicylhydroxamic ligand with a rigid configuration. The structures of the isostructural complexes 1–6 were determined by single-crystal X-ray crystallography. The optical properties of the complexes can be simply enhanced by doping methods. White-light emission materials can be obtained from a single component (Sm 3+ ) by adjusting the excitation wavelength. The lifetimes and quantum yields of the luminescence were also determined.
Cancer‐associated mesenchymal stem cells (MSCs) play a pivotal role in modulating tumor progression. However, the interactions between liver cancer‐associated MSCs (LC‐MSCs) and hepatocellular ...carcinoma (HCC) remain unreported. Here, we identified the presence of MSCs in HCC tissues. We also showed that LC‐MSCs significantly enhanced tumor growth in vivo and promoted tumor sphere formation in vitro. LC‐MSCs also promoted HCC metastasis in an orthotopic liver transplantation model. Complementary DNA (cDNA) microarray analysis showed that S100A4 expression was significantly higher in LC‐MSCs compared with liver normal MSCs (LN‐MSCs) from adjacent cancer‐free tissues. Importantly, the inhibition of S100A4 led to a reduction of proliferation and invasion of HCC cells, while exogenous S100A4 expression in HCC cells resulted in heavier tumors and more metastasis sites. Our results indicate that S100A4 secreted from LC‐MSCs can promote HCC cell proliferation and invasion. We then found the expression of oncogenic microRNA (miR)‐155 in HCC cells was significantly up‐regulated by coculture with LC‐MSCs and by S100A4 ectopic overexpression. The invasion‐promoting effects of S100A4 were significantly attenuated by a miR‐155 inhibitor. These results suggest that S100A4 exerts its effects through the regulation of miR‐155 expression in HCC cells. We demonstrate that S100A4 secreted from LC‐MSCs promotes the expression of miR‐155, which mediates the down‐regulation of suppressor of cytokine signaling 1, leading to the subsequent activation of STAT3 signaling. This promotes the expression of matrix metalloproteinases 9, which results in increased tumor invasiveness. Conclusion: S100A4 secreted from LC‐MSCs is involved in the modulation of HCC progression, and may be a potential therapeutic target. (HEPATOLOGY 2013)
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SBCE, SBMB, UL, UM, UPUK
This paper proposes a convolutional neural network (CNN) method to estimate subsurface temperature (ST) in the Pacific Ocean from a suite of satellite remote sensing measurements. These include sea ...surface temperature(SST), sea surface height (SSH), and sea surface salinity (SSS). We propose using the multisource sea surface parameters to establish a monthly CNN model to reconstruct the ocean subsurface temperature (ST) and use Argo data for accurate validation. The results show that the CNN can accurately estimate the ST of the Pacific Ocean by using the model. We trained the model for 12 months. The most prominent months are January, April, July, and October with average mean square error (MSE) values of 0.2659, 0.3129, 0.5318, and 0.5160, and the average coefficients of determination (R 2 ) were 0.968, 0.971, 0.949, and 0.967, respectively. This study improves the accuracy of ST estimation and the good results based on reanalysis indicate that the model is promising to be applied to satellite observations.
Chimeric antigen receptor-modified T cells (CAR-T cells) have emerged as a promising cancer immunotherapy for solid tumors. Epithelial cell adhesion molecule (EpCAM) is overexpressed in a variety of ...tumors and is recognized as a biomarker for circulating tumor cells and cancer stem cells, representing an attractive target for adoptive T-cell immunotherapy. This study generated third-generation CAR-T cells with redirected specificity to EpCAM (EpCAM CAR-T) by lentiviral vector. The study demonstrated that EpCAM CAR-T cells can elicit lytic cytotoxicity to target cells in an EpCAM-dependent manner and secrete cytotoxic cytokines, including interferon gamma and tumor necrosis factor alpha. Furthermore, adoptive transfer of EpCAM CAR-T cells significantly delayed tumor growth and formation in xenograft models. In addition, the safety evaluation showed that CAR-T cells have no systemic toxicity in mice. The data confirmed the antitumor ability and safety of CAR-T cells targeting EpCAM and may provide a new target for CAR-T cell therapies in treating solid tumors.
Abstract
Accurately measuring the Hubble parameter is vital for understanding the expansion history and properties of the Universe. In this paper, we propose a new method that supplements the ...covariance between redshift pairs to improve the reconstruction of the Hubble parameter using the observational Hubble data set. Our approach uses a cosmological model-independent radial basis function neural network to effectively describe the Hubble parameter as a function of redshift. Our experiments show that this method results in a reconstructed Hubble parameter of
H
0
= 67.1 ± 9.7 km s
−1
Mpc
−1
, which is more noise resistant and fits the ΛCDM model at high redshifts better. Providing the covariance between redshift pairs in subsequent observations will significantly improve the reliability and accuracy of Hubble parametric data reconstruction. Future applications of this method could help overcome the limitations of previous methods and lead to new advances in our understanding of the Universe.
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•Properties of BNC produced by four different strains were compared for laccase immobilization.•Four types of BNC had significant structural differences in fiber density, diameter and ...distribution.•BNC materials had various specific surface area, total pore volume, and average pore size.•Structural diversity of BNC may directly result in different efficiency in enzyme immobilization.•A looser fiber network in BNC with larger porosity is helpful for enzyme immobilization.
Properties of bacterial nanocellulose (BNC) produced by four different strains were studied and compared for laccase immobilization. Scanning electron microscope inspection indicated the four types of BNC had obvious differences in fiber density, diameter and distribution. BNC hydrogel demonstrated the highest fracture stress of 2.44 Mpa and the highest Young's modulus of 12.76 Mpa. Brunauer-Emmett-Teller analysis suggested the four BNC had significant difference in specific surface area, total pore volume and average pore size. Laccase was immobilized on BNC carriers via adsorption. Kinetic studies showed that the four types of BNC-immobilized laccase had different affinity with substrate, and all types of immobilized laccase showed high operational stability after ten consecutive biocatalytic cycles of reaction. The results suggest that the structure diversity of BNC from various strains may directly result in different efficiency in laccase immobilization, and a looser fiber network in BNC with larger porosity is helpful for enzyme immobilization.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK, ZRSKP
To study the prevalence and the association of HPV infection in retinoblastoma and to determine the most common genotype presented in RB.
Following the PRIMSA guideline, 14 studies reporting HPV ...infection in RB acquired from six databases were included.
The prevalence of HPV from 941 RB samples was 15.6% 95% confidence interval (CI): 7.3-30. Mexico followed by India and Brazil had the highest HPV prevalence in RB samples, 61.7% (95% CI: 17-93), 22.5% (95% CI: 9-47), and 12.1% (95% CI: 2-52), in order. HPV 16 was the most common genotype presented in RB samples 23% (95% CI: 9-47), followed by HPV 18 10% (95% CI: 3-30) and the combined HPV 16-18 6% (95% CI: 0-50). We did not find a significant association between HPV and RB odds ratio (OR): 12.2; 95% CI: 0.65-232;
= 0.09. However, after removing the largest-weighted study, a significant association between HPV and RB was observed (OR: 45.9; 95% CI; 8.6-245;
< 0.001).
HPV prevalence in RB samples was 15% and HPV 16 was the most presented genotype in RB samples. There may be an association between HPV and RB that is needed to be confirmed by high quality future studies. Preventive and treatment measures against HPV infection are essential for the prevention of any possible consequences, in particular, RB.
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