Preparation, Characterization, and Performance Evaluation of Petroleum Asphalt Modified with Bio-Asphalt Containing Furfural Residue and Waste Cooking Oil.

The study aims to analyze the feasibility of proposing waste cooking oil and industrial waste furfural residue as raw materials to prepare bio-asphalt as partial substitutes for petroleum asphalt, so as to reduce the cost of pavement construction and decrease the consumption of non-renewable resources. In this study, 90# petroleum asphalt was partially substituted with the bio-asphalt in different proportions to prepare biomass-modified petroleum asphalt, the performance of which was first evaluated based on three indices: penetration, softening point, and ductility. Comparison of the crystal structures of the bio-asphalt and furfural residue were enabled by X-ray diffraction, and the blending mechanism and microscopic morphologies of the biomass-substituted asphalt mixtures were characterized by Fourier transform infrared spectroscopy and scanning electron microscopy. The results showed that the bio-asphalt was hydrophobic and exhibited excellent compatibility with 90# petroleum asphalt. The partial substitution of petroleum asphalt with bio-asphalt improved the low-temperature crack resistance of the asphalt by adversely affecting the high-temperature stability of the asphalt; however, when the bio-asphalt content was 8 wt.%, the performance parameters of the biomass-modified asphalt met the requirements of the 90# petroleum asphalt standard.

SH2B1 protects cardiomyocytes from ischemia/reperfusion injury via the activation of the PI3K/AKT pathway.

BACKGROUND: Apoptosis, reactive oxidative stress (ROS) and inflammation act as the pivotal pathogenesis of myocardial ischemia/reperfusion (I/R) injury (MIRI). Our prior study and other investigation have demonstrated the participations of src homology 2 (SH2) B adaptor protein 1 (SH2B1) in ischemic injury and cardiac hypertrophy; whereas, the involvements of SH2B1 in MIRI and underlying mechanisms are completely unknown. METHOD: In present study, MIRI model in vivo was induced by 30 min of ligation of LAD coronary artery and 24 h of reperfusion, and primary cultured cardiomyocytes were challenged with 2 h of hypoxia followed by 4 h of reoxygenation (H/R) to mimic MIRI in vitro. Adenovirus encoding for SH2B1 or GFP were pre-transfected into myocardium prior to MIRI both in vivo and in vitro. The myocardial damage, cardiac function, apoptosis, ROS and inflammation were evaluated systematically. Immunofluorescence staining and western blotting were alternatively performed to detect protein expression. RESULTS: The results exhibited that H/R or I/R significantly reduced SH2B1 in cardiomyocytes, followed by impaired cell survival and function, which were strongly reversed after the adenovirus-mediated SH2B1 up-regulation. Meanwhile, I/R- and H/R-elevated inflammation, apoptosis and ROS were also alleviated by SH2B1 up-regulation. A mechanistic study suggested that the protective contributions of SH2B1 on H/R-suffered cardiomyocytes were based on the activation of the PI3K/AKT pathway. The abolishment of the PI3K/AKT via a pharmacological inhibitor (LY294002) repressed anti-H/R capabilities of SH2B1. CONCLUSION: Therefore, SH2B1 prevents cardiomyocytes from inflammation, apoptosis and ROS in MIRI partially through the PI3K/AKT-dependent avenues. It may provide a novel therapeutic target for the treatment of MIRI.

Mixed Maximum Loss Design for Optic Disc and Optic Cup Segmentation with Deep Learning from Imbalanced Samples.

Glaucoma is a serious eye disease that can cause permanent blindness and is difficult to diagnose early. Optic disc (OD) and optic cup (OC) play a pivotal role in the screening of glaucoma. Therefore, accurate segmentation of OD and OC from fundus images is a key task in the automatic screening of glaucoma. In this paper, we designed a U-shaped convolutional neural network with multi-scale input and multi-kernel modules (MSMKU) for OD and OC segmentation. Such a design gives MSMKU a rich receptive field and is able to effectively represent multi-scale features. In addition, we designed a mixed maximum loss minimization learning strategy (MMLM) for training the proposed MSMKU. This training strategy can adaptively sort the samples by the loss function and re-weight the samples through data enhancement, thereby synchronously improving the prediction performance of all samples. Experiments show that the proposed method has obtained a state-of-the-art breakthrough result for OD and OC segmentation on the RIM-ONE-V3 and DRISHTI-GS datasets. At the same time, the proposed method achieved satisfactory glaucoma screening performance on the RIM-ONE-V3 and DRISHTI-GS datasets. On datasets with an imbalanced distribution between typical and rare sample images, the proposed method obtained a higher accuracy than existing deep learning methods.

Learning Rates of Regularized Regression With Multiple Gaussian Kernels for Multi-Task Learning.

This paper considers a least square regularized regression algorithm for multi-task learning in a union of reproducing kernel Hilbert spaces (RKHSs) with Gaussian kernels. It is assumed that the optimal prediction function of the target task and those of related tasks are in an RKHS with the same but with unknown Gaussian kernel width. The samples for related tasks are used to select the Gaussian kernel width, and the sample for the target task is used to obtain the prediction function in the RKHS with this selected width. With an error decomposition result, a fast learning rate is obtained for the target task. The key step is to estimate the sample errors of related tasks in the union of RKHSs with Gaussian kernels. The utility of this algorithm is illustrated with one simulated data set and four real data sets. The experiment results illustrate that the underlying algorithm can result in significant improvements in prediction error when few samples of the target task and more samples of related tasks are available.

[DNA barcoding and its utility in commonly-used medicinal snakes].

Identification accuracy of traditional Chinese medicine is crucial for the traditional Chinese medicine research, production and application. DNA barcoding based on the mitochondrial gene coding for cytochrome c oxidase subunit I (COI), are more and more used for identification of traditional Chinese medicine. Using universal barcoding primers to sequence, we discussed the feasibility of DNA barcoding method for identification commonly-used medicinal snakes (a total of 109 samples belonging to 19 species 15 genera 6 families). The phylogenetic trees using Neighbor-joining were constructed. The results indicated that the mean content of G + C(46.5%) was lower than that of A + T (53.5%). As calculated by Kimera-2-parameter model, the mean intraspecies genetic distance of Trimeresurus albolabris, Ptyas dhumnades and Lycodon rufozonatus was greater than 2%. Further phylogenetic relationship results suggested that identification of one sample of T. albolabris was erroneous. The identification of some samples of P. dhumnades was also not correct, namely originally P. korros was identified as P. dhumnades. Factors influence on intraspecific genetic distance difference of L. rufozonatus need to be studied further. Therefore, DNA barcoding for identification of medicinal snakes is feasible, and greatly complements the morphological classification method. It is necessary to further study in identification of traditional Chinese medicine.

[DNA barcoding of COI gene in some medicinal animals of Lacertilia].

To identify some medicinal animals of Lacertilia, in total 59 individuals belonging to 12 species 7 genera 3 families, we used the universal barcoding primers to sequence these species, compared with other homologous sequences (564 bp) obtaining from the GenBank and finally constructed phylogenetic trees using Neighbor-joining, Maximum parsimony and Bayesian inference, respectively. As a result, the mean content of G + C (46.5%) was lower than that of A + T (53.5%). As calculated by Kimera-2-parameter model, the whole individuals mean distance for interspecies and intraspecies was 35. 5% and 1.7%, respectively. The mean distance for interspecies was 21 times as much as that for intraspecies. The mean distance for intraspecies of Gekko swinhonis, Hemidactylus frenatus and G. gecko was greater than 2%, respectively. Further analyses suggested that geographical groups of the three species might be of different subSpecies, even species. Of course, incorporating morphological characters and other unlinked genetic markers in future studies will offer further insights into the divergence. On the basis of phylogenetic trees constructed by COI, our results indicated that the taxonomy of the category (family, genus, and species) by DNA barcoding is consistent with morphological characters. Therefore, DNA barcoding is a useful tool for both identification and phylogeny of medicinal animals of Lacertilia, particularly for nonprofessor identifying authentication of Chinese crude drugs of these species.

Least square regularized regression in sum space.

This paper proposes a least square regularized regression algorithm in sum space of reproducing kernel Hilbert spaces (RKHSs) for nonflat function approximation, and obtains the solution of the algorithm by solving a system of linear equations. This algorithm can approximate the low- and high-frequency component of the target function with large and small scale kernels, respectively. The convergence and learning rate are analyzed. We measure the complexity of the sum space by its covering number and demonstrate that the covering number can be bounded by the product of the covering numbers of basic RKHSs. For sum space of RKHSs with Gaussian kernels, by choosing appropriate parameters, we tradeoff the sample error and regularization error, and obtain a polynomial learning rate, which is better than that in any single RKHS. The utility of this method is illustrated with two simulated data sets and five real-life databases.

[Prime study of Gekko gecko in HPLC fingerprint].

OBJECTIVE: To establish HPLC fingerprint of Gekko gecko. METHODS: The relative retention time and relative peak area of exteacts of Gekko gecko were determine by HPLC to confirm proper chromatographic condition and obtain the data. RESULTS: Better distribution of relative retention time and relative peak area were shown under the chromatographic condition and the HPLC fingerprint was established. CONCLUSION: The established HPLC fingerprints of Gekko gecko can be used to identify Gekko gecko and its quality control.

Glycyrrhetinic acid extracted from Glycyrrhiza uralensis Fisch. induces the expression of Toll-like receptor 4 in Ana-1 murine macrophages.

Glycyrrhetinic acid (GA) is an active component of licorice root that has long been used as a herbal medicine for the treatment of peptic ulcer, hepatitis, and pulmonary and skin diseases in Asia and Europe. In this study, we analyzed the effect of GA extracted from Glycyrrhiza uralensis Fisch. on the expression of Toll-like receptors (TLRs) that play key roles in regulating the innate immune response against invading pathogens. Stimulation of Ana-1 murine macrophages with GA induced a significant dose-dependent expression of TLR-4, and its mRNA expression that increased from 3-h post-treatment was approximately fivefold over the level in the mock-treated cells. No endotoxin contamination contributed to the GA-induced TLR-4 expression, because polymyxin B treatment did not alter the upregulated expression of TLR-4 in GA-treated cells. Several molecules, such as myeloid differentiation factor 88, interferon-ß, and interleukin-6, which are involved in the TLR-4 downstream signaling pathway, were upregulated significantly in response to GA stimulation. Our findings demonstrate that GA is able to induce the expression of TLR-4 and activate its downstream signaling pathway.

Effects of cold shock on microtubule organization and cell cycle in gynogenetically activated eggs of olive flounder (Paralichthys olivaceus).

Cytological changes and subsequent mitotic processes were studied in gynogenetically activated eggs of olive flounder subjected to cold-shock treatment using indirect immunofluorescence staining of isolated blastodisks. Obvious differences between controls and treated eggs were detected during early cell division. The developmental process of haploid control was similar to that of the diploid control except several minutes delayed. Spindles disassembled by the cold-shock treatment regenerated soon after treatment, resulting in the occurrence of the first mitosis. The immature daughter centriole was easily depolymerized by cold-shock treatment, leading to the formation of the bipolar spindle in the first cell cycle and the formation of the monopolar spindle in the second cell cycle, resulting in chromosome set doubling. Some two-cell stage eggs had a monopolar spindle in one blastomere and a bipolar spindle in another during the second mitosis. These eggs had a high potency developing into haploid-diploid mosaics. To the best of our knowledge, this study is the first to clarify the mechanism of chromosome set doubling in marine fishes and provides a preliminary cytological basis for developing a reliable and efficient protocol for mitotic gynogenesis induction by cold-shock treatment in olive flounder.

[Advances in Detection Technologies of in vivo Expression of Bacterial Virulence Gene.].

The interactions between bacterial pathogens and their hosts is complex. To further our understanding ofathe pathogenesisaof bacterial pathogens, it is necessary to identify bacterial virulence genes that are specifically induced in vivo during infection and probe their regulation in vivo. Toward this end, several technologies, such as in vivo expression technology (IVET), signature-tagged mutagenesis (STM), differential fluorescence induction (DFI), genomic analysis and mapping by in vitro transposition (GAMBIT) and in vivo induced antigen technology (IVIAT), have been developed. The purpose of this reviewais to update the reader on the many advances of these technologies, and to discuss their advantages and disadvantages.