Quantitative assessment of the erosion and deposition effects of landslide-dam outburst flood, Eastern Himalaya.

Both regular flow and infrequent outburst floods shape the mountain landscape, but their relative contributions have been widely debated, in part due to the paucity of quantitative data on historical outburst floods. In June 2000, an outburst flood was triggered by a landslide-dam failure in a rapidly exhumed region of the Eastern Himalaya. To investigate the role of this kind outburst flood on landscape evolution, we employ topographic differencing, satellite imagery, and 2D hydraulic simulations to quantify the equivalent erosion and deposition within ~ 80 km flood route downstream of the breach. The flood lasted for ~ 10 h, with a peak discharge of 105 m3/s, leading to average erosion of 10 m, and contributed ~ 1-2 × 103 times more sediment than over long-term mean fluvial processes. The flood produced extensive lateral erosion, which triggered a threefold widening of the valley floor and abundant subsequent landslides. The ubiquitous boulder bars deposited in the channel inhibited incision, and facilitated lateral erosion after the flood. The resulting channel configuration and extensive bank erosion continue to affect fluvial dynamics until the next catastrophic flood that remobilizes the boulders. Our quantitative findings highlight the profound importance of recurrent outburst floods for gorge development and landscape evolution in Eastern Himalaya.

A hybrid decision support system with golden cut and bipolar q-ROFSs for evaluating the risk-based strategic priorities of fintech lending for clean energy projects.

In the last decade, the risk evaluation and the investment decision are among the most prominent issues of efficient project management. Especially, the innovative financial sources could have some specific risk appetite due to the increasing return of investment. Hence, it is important to uncover the risk factors of fintech investments and investigate the possible impacts with an integrated approach to the strategic priorities of fintech lending. Accordingly, this study aims to analyze a unique risk set and the strategic priorities of fintech lending for clean energy projects. The most important contributions to the literature can be listed as to construct an impact-direction map of risk-based strategic priorities for fintech lending in clean energy projects and to measure the possible influences by using a hybrid decision making system with golden cut and bipolar q-rung orthopair fuzzy sets. The extension of multi stepwise weight assessment ratio analysis (M-SWARA) is applied for weighting the risk factors of fintech lending. The extension of elimination and choice translating reality (ELECTRE) is employed for constructing and ranking the risk-based strategic priorities for clean energy projects. In this process, data is obtained with the evaluation of three different decision makers. The main superiority of the proposed model by comparing with the previous models in the literature is that significant improvements are made to the classical SWARA method so that a new technique is created with the name of M-SWARA. Hence, the causality analysis between the criteria can also be performed in this proposed model. The findings demonstrate that security is the most critical risk factor for fintech lending system. Moreover, volume is found as the most critical risk-based strategy for fintech lending. In this context, fintech companies need to take some precautions to effectively manage the security risk. For this purpose, the main risks to information technologies need to be clearly identified. Next, control steps should be put for these risks to be managed properly. Furthermore, it has been determined that the most appropriate strategy to increase the success of the fintech lending system is to increase the number of financiers integrated into the system. Within this framework, the platform should be secure and profitable to persuade financiers.

Adaptive-back-stepping-based controller design for double-pendulum rotary cranes.

The operating process of rotary crane is often very complicated and there are many unpredictable conditions, such as the condition of the load sway around the hook, which will undoubtedly make the sway characteristics analysis of the system and the controller design become more difficult. In addition, for the purpose of decreasing the complexity of controller design, traditional control methods often perform model linearization processing operation, which can reduce the robustness of the system to a certain extent (when the parameters of the crane are unknown or there are external disturbances, the control capability of traditional control methods will be largely degraded). Based on the above, this paper first uses kinematic analysis to derive rotary crane model, and then proposes a nonlinear controller based on adaptive back-stepping method to achieve pendulum elimination and boom positioning. Then the stability of the system is proved by Lyapunov Lemmas. Finally, the performance of the system is verified by comparing the experimental results of different methods.

[Combination characteristics of frankincense and myrrh and progress and prospect of their combination efficacy and mechanism].

Herbal pair is formed based on the experience summary of doctors' deep understanding and perception of the medicinal nature in long-term clinical practice. It gradually becomes the exquisite structural unit for preparing traditional Chinese medicine(TCM) prescriptions, and often plays a core bridge role in the prescription combination. Frankincense and myrrh are raw resin materials of incense abroad, which are subsequently included as Chinese medicinal herbs and endowed with rich medicinal connotation. With the functions of relaxing Zang-fu organs, activating blood and relieving pain, they have definite clinical efficacy. From the perspective of herbal description and clinical application, this study systematically analyzed the combination of frankincense and myrrh as well as their combination proportion, efficacy characterization, diseases and syndromes, effective components and action mechanism. On this basis, the focus of in-depth research of frankincense-myrrh and the application prospects were proposed, in order to further reveal the potential meditation law of this herbal pair, thus contributing to clinical practice and drug innovation of traditional Chinese medicine, and providing reference for understanding of TCM medicinal nature and research of herbal pairs.

Bearing Fault Reconstruction Diagnosis Method Based on ResNet-152 with Multi-Scale Stacked Receptive Field.

The axle box in the bogie system of subway trains is a key component connecting primary damper and the axle. In order to extract deep features and large-scale fault features for rapid diagnosis, a novel fault reconstruction characteristics classification method based on deep residual network with a multi-scale stacked receptive field for rolling bearings of a subway train axle box is proposed. Firstly, multi-layer stacked convolutional kernels and methods to insert them into ultra-deep residual networks are developed. Then, the original vibration signals of four fault characteristics acquired are reconstructed with a Gramian angular summation field and trainable large-scale 2D time-series images are obtained. In the end, the experimental results show that ResNet-152-MSRF has a low complexity of network structure, less trainable parameters than general convolutional neural networks, and no significant increase in network parameters and calculation time after embedding multi-layer stacked convolutional kernels. Moreover, there is a significant improvement in accuracy compared to lower depths, and a slight improvement in accuracy compared to networks than unembedded multi-layer stacked convolutional kernels.

[Mechanism of Olibanum-Myrrha in treatment of rheumatoid arthritis based on network pharmacology and molecular docking].

In this paper, network pharmacology method and molecular docking technique were used to investigate the target genes of Olibanum and Myrrha compatibility and the possible mechanism of action in the treatment of rheumatoid arthritis(RA). Our team obtained the main active components of Olibanum-Myrrha based on literatures study, relevant traditional Chinese medicine systematic pharmacological databases and literature retrieval, and made target prediction of the active components through SwissTargetPrediction database. At the same time, RA-related targets were collected through DrugBank, GeneCards and Therapeutic Target Database(TDD) databases; and VENNY 2.1 was use to collect intersection targets to map common targets of drug and disease of Venn diagram online. The team used STRING database to construct PPI protein interaction network diagram, and screen out core targets according to the size of the interaction, and Cytoscape 3.6.0 software was used to construct network models of "traditional Chinese medicine-component-target" "traditional Chinese medicine-component-target-disease" and core target interaction network model. The intersection target was analyzed by using DAVID 6.8 online database for GO function analysis and KEGG pathway enrichment analysis, and Pathon was used to visualization. AutoDock Vina and Pymol were used to connect the core active components with the core targets. Sixteen active components of Olibanum-Myrrha pairs were found and collected in the laboratory, and 320 relevant potential targets, 468 RA-related targets and 62 intersection targets were obtained through the Venn diagram. It mainly acted on multiple targets, such as IL6, TNF, IL1 B and MAPK1, involving TNF signaling pathway and Toll-like receptor signaling pathway in RA treatment. Finally, in this study, possible targets and signaling pathways of Olibanum-Myrrha compatibility therapy for RA were discussed, and molecular docking between core targets and core active components was conducted, which could provide scientific basis for the study on the mechanism of Olibanum-Myrrha compatibility.

Frankincense and myrrh and their bioactive compounds ameliorate the multiple myeloma through regulation of metabolome profiling and JAK/STAT signaling pathway based on U266 cells.

BACKGROUND: Frankincense and myrrh are used as traditional anti-inflammatory and analgesic medicines in China. It has been reported that frankincense and myrrh have significant anti-tumor activities. The present study was designed to investigate the inhibitory efficacy of frankincense ethanol extracts (RXC), myrrh ethanol extracts (MYC), frankincense -myrrh ethanol extracts (YDC), frankincense -myrrh water extracts (YDS) and their main compounds on U266 human multiple myeloma cell line. METHODS: The inhibition effects of cell proliferation was evaluated by MTT assays. Cell culture supernatant was collected for estimation of cytokines. Western blot analysis was designed to investigate the regulatory of JAK/STAT signal pathway. In addition, cell metabolomics based on the ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC/Q-TOF-MS) had been established to investigate the holistic efficacy of frankincense and myrrh on U266 cells. Acquired data were processed by partial least-squares discriminant analysis (PLS-DA) and orthogonal projection to latent structures squares-discriminant analysis (OPLS-DA) to identify potential biomarkers. RESULTS: RXC, MYC significantly inhibited the proliferation of U266 cells at dose of 25-400 µg/mL, YDC and YDS at the dose of 12.5-400 µg/mL. 3-O-acetyl-α-boswellic acid, 3-acetyl-11 keto-boswellic acid and 11-keto-boswellic acid had the most significant anti- multiple myeloma activities in the 10 compounds investigated, therefore these 3 compounds were selected as representatives for Elisa assay and western blotting experiments. All the extracts and active compounds ameliorated the secretion of cytokines and down-regulated the expression of JAK/STAT signaling pathway-related proteins. Comparing RXC, MYC, YDC and YDS-treated U266 cells with vehicle control (DMSO), 13, 8, 7, 7 distinct metabolites and 2, 2, 3, 0 metabolic target pathways involved in amino acid metabolism, lipid metabolism, vitamin metabolism, arachidonic acid were identified, respectively. CONCLUSIONS: Taken together our results suggest that the frankincense and myrrh and their bioactive compounds inhibit proliferation of U266 multiple myeloma cells by regulating JAK/STAT signaling pathway and cellular metabolic profile.

Protective Effect and Mechanism of Boswellic Acid and Myrrha Sesquiterpenes with Different Proportions of Compatibility on Neuroinflammation by LPS-Induced BV2 Cells Combined with Network Pharmacology.

Frankincense and myrrha (FM), commonly used as a classical herbal pair, have a wide range of clinical applications and definite anti-inflammatory activity. However, anti-neuroinflammation effects and mechanisms are not clear. In this study, we adopted a lipopolysaccharide (LPS)-induced microglial (BV2) cell model and a network pharmacology method to reveal the anti-neuroinflammatory effects and mechanisms of boswellic acid (BA) and myrrha sesquiterpenes (MS) with different proportions of compatibility. The data showed that the different ratios of BA and MS had different degrees of inhibition of interleukin-1ß (IL-1ß), IL-6, and inducible nitric oxide synthase (iNOS) mRNA expression, down-regulated the phosphor-nuclear factor kappa B/nuclear factor kappa B (p-NF-Ò¡B)/(NF-Ò¡B), phosphorylated protein kinase b/protein kinase b (p-AKT/AKT), and Toll-like receptor 4 (TLR4) protein expression levels, and increased phospho-PI3 kinase (p-PI3K) protein expression levels. When the ratios of BA and MS were 10:1, 5:1, and 20:1, better effective efficacy was exhibited. According to the correlation analysis between the effect index and bioactive substances, it was suggested that 2-methoxy-5-acetoxy -fruranogermacr-1(10)-en-6-one (Compound 1), 3α-acetyloxylanosta-8,24-dien-21-oic acid (Compound 2), 11-keto-boswellic acid (Compound 3), and 3-acetyl-11-keto-ß -boswellic acid (Compound 4) made important contributions to the treatment of neuroinflammation. Furthermore, based on the network pharmacological analysis, it was found that these four active compounds acted on 31 targets related to neuroinflammation and were involved in 32 signaling pathways which mainly related to the immune system, cardiovascular system, and nervous system, suggesting that BA and MS could be used to treat neuroinflammation.