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A BP neural network-based model is proposed to study corporate financial risk analysis and internal accounting management. Using MATLAB software and the BP neural network model, it is possible to obtain enterprise financing risk situations over a period by simulating and predicting enterprise financing risks by creating an early warning model for enterprise financing risks. Finally, from the point of view of the company's internal and external operations, the company's financial risk prevention measures and proposals are proposed to improve the financing efficiency of the companies and to prevent financial risks. This study predicts the financing risk of companies listed on the Mongolian Stock Exchange and analyzes the causes of the risk status. According to the test results, the learning speeds for successive substitutions are as follows: 0.005, 0.01, 0.02, 0.03, and 0.04. Finally, it was found that the error was minimal and the stability was best when the learning speed was exactly 0.01. The error is 0.0031011, and the step size is 157, which is only slightly lower than the target error value, which indicates that the learning speed is good. In addition, the novelty of this study is the use of the BP neural network model to conduct an early warning study of corporate financial risks. The BP neural network assessment model for corporate lending risk in this document is highly accurate. In addition to providing theoretical insights to researchers, it can be a good tool for banks to realistically assess the credit risk of SME supply chain financing.

Colorectal cancer (CRC) is a common malignancy in both men and women, and the prognosis of CRC patients is still unsatisfactory. We aimed to identify novel effective diagnostic and prognostic targets for CRC. The study design is listed as below: we first confirmed the linear correlation between the expression of disheveled 3 (DVL3) and circular RNA_0101802 (circ_0101802) in CRC tissues, and their functional correlation in CRC cells was verified by rescue assays. Subsequently, bioinformatics databases were used to search the common interacted microRNAs (miRNAs) of DVL3 and circ_0101802, and compensation experiments were conducted to verify the functional correlation between miR-665 and DVL3 in CRC cells. Finally, xenograft tumor model was established to confirm the role of circ_0101802/miR-665/DVL3 axis in tumor growth in vivo. The expression of DVL3 and circ_0101802 was elevated in CRC tissues and cell lines, and high levels of DVL3 and circ_0101802 were closely associated with short survival time of CRC patients. Circ_0101802 silencing restrained the proliferation, migration, and tube formation abilities and induced the apoptosis of CRC cells. Circ_0101802 silencing-induced anti-tumor effects in CRC cells were partly reversed by DVL3 overexpression. miR-665 was an intermediary molecule between circ_0101802 and DVL3, and circ_0101802 could positively regulate DVL3 protein expression by sponging miR-665 in CRC cells. DVL3 overexpression partly overturned miR-665 overexpression-mediated anti-tumor effects in CRC cells. Circ_0101802 knockdown significantly suppressed xenograft tumor growth in vivo. In conclusion, circ_0101802 contributed to CRC progression by targeting miR-665/DVL3 signaling.

This paper aims to study enterprise Financial Risk Management (FRM) through Big Data Mining (BDM) and explore effective FRM solutions by introducing information fusion technology. Specifically, big data technology, Support Vector Machine (SVM), Logistic regression, and information fusion approaches are employedto study the enterprise financial risks in-depth.Among them, the selection offinancial risk indexes has a great impact on the monitoring results of the SVM-based FRM model; the Logistic regression-based FRM model can efficientlyclassify financial risks; theinformation fusion-based FRM model uses a fusion algorithm to fuse different information sources. The results show that the SVM-based and Logistic regression-based FRM models can manage and classify enterprise financial risks effectively in practice, with a classification accuracy of 90.22% and 90.88%, respectively; by comparison, the information fusion-based FRM modelbeats SVM-based and Logistic regression-based FRM models by presenting a classification accuracy as high as 95.18%. Therefore, it is concluded that the information fusion-based FRM is better than the SVM-based and Logistic regression-based models; it can integrate and calculate multiple enterprise financial risk data from different sources and obtain higher accuracy; besides, big data technology can provide important research methods for enterprise financial risk problems; SVM-based FRM model and Logistic regression-based FRM model can well classify enterprise financial risks, with relatively high accuracy.

Digital inclusive finance is key to China’s agriculture and low-carbon economics. The panel data for China’s 30 provinces were chosen from 2011 to 2019. An SBM GML model was applied in the thesis to measure agricultural green total factor productivity (GTFP), and to determine how Digital Inclusive Finance would affect agricultural GTFP a two-way fixed effect model was created. This study found that, from 2011 to 2019, the advancement of Digital Inclusive Finance could effectively enhance and drive the continuous increase of agricultural GTFP in China. Specifically, agricultural GTFP is increased by 0.288% as a result of every 1% rise in the Digital Inclusive Finance index; Digital Inclusive Finance helps agricultural green technologies advance and become more effective. According to a mechanism test, Digital Inclusive Finance increases agricultural GTFP growth by improving green technology innovation. Further analysis shows that the development of agricultural GTFP is significantly related to the depth and digitalization of Digital Inclusive Finance, but not in terms of its breadth. The above findings provide new ideas and empirical evidence for revealing the connection among Digital Inclusive Finance and agricultural GTFP and, on this basis, designing and improving relevant policies.

Silicon oxide (SiOx, 0 < x < 2) is considered one of the most promising anode materials for next-generation lithium-ion batteries due to its high theoretical capacity. However, its commercial application is limited by the non-negligible volume change during cycling. Herein, a three-dimensional (3D) structure of carboxymethyl cellulose (CMC) cross-linked with iminodiacetic (c-CMC-IDA150) was facilely formed through in situ thermal cross-linking of CMC and iminodiacetic acid (IDA) in the fabrication process of the electrode, which could construct a robust network to restrain the volume change of the SiOx anode and maintain the integrity of the electrode. In addition, the 3D cross-linked c-CMC-IDA150 provides sufficient contact sites to improve the adhesive strength. Thus, SiOx@c-CMC-IDA150 shows a prolonged cycle life, achieving a capacity of 1020 mAh g-1 after 100 cycles at a current density of 0.2 A g-1. With the increase in the current density to 1.0 A g-1, SiOx@c-CMC-IDA150 exhibits a reversible capacity of 899 mAh g-1 after 200 cycles with a capacity retention of 70.2%. This work provides a potential perspective to fabricate high-performance SiOx anodes and promote the stability of high-capacity Si-based anodes.

Silicon-based materials, as the most promising candidates for high-performance lithium-ion batteries (LIBs), have been widely researched. However, the construction of stable electrode structure is still a challenge due to the enormous volume variation. Herein, we developed a three-dimensional (3D) binder network, polydopamine grafted cross-linked polyacrylamide (PDA-c-PAM), to build a durable anode for LIBs. The flexible PDA side chain in PDA-c-PAM offers the superior adhesion with constitutes of the electrode. And the 3D cross-linked PAM main chain endows PDA-c-PAM high stretchability to accommodate the volume variation of active material and maintain the structural integrity of electrode. As a binder for SiO/graphite (SiO/C), the fabricated SiO/C@PDA-c-PAM anode delivers an initial discharge capacity of 1350 mAh g−1 at 0.1 A g−1. At a high current density of 1 A g−1, it maintains 591 mAh g−1 after 300 cycles with a 94% capacity retention of initial capacity after activation. Coupled with commercial LiNi0.6Co0.2Mn0.2O2 (NCM622) cathode, the full cell exhibits a high-energy density of 406 Wh kg−1 at 1 C as well as excellent stability. Thus, it is believed that designing 3D network binder is an effective approach to achieve superior cycle performance of SiO/C electrodes. We successfully synthesized a polydopamine grafted cross-linked polyacrylamide (PDA-c-PAM) polymer as binder for SiO/C anode to maintain the structural integrity and improve the cycling stability of electrode. The flexible PDA side chain in PDA-c-PAM offers the binder superior adhesion. And the 3D cross-linked PAM main chain endows the binder high stretchability. The fabricated SiO/C@PDA-c-PAM anode delivers a capacity of 591 mAh g−1 after 300 cycles at 1 A g−1. Thus, it is believed that designing 3D network binder is an effective approach to achieve superior cycle performance of SiO/C electrodes.

Silicon oxide (SiO

Radiation-induced brain injury is a major adverse event in head and neck tumor treatment, influencing the quality of life for the more than 50% of patients who undergo radiation therapy and experience long-term survival. However, no effective treatments are available for these patients, and preventative drugs and effective drug-delivery methods must be developed. Based on our results, miR-122-5p was upregulated in the mouse radiation-induced brain injury (RBI) model and patients with nasopharyngeal carcinoma (NPC) who received radiation therapy. Intranasal administration of a single antagomiR-122-5p dose before irradiation effectively alleviated radiation-induced cognitive impairment, neuronal injury, and neuroinflammation in the mouse RBI model. Results further indicated that miR-122-5p inhibition in microglia reduced the levels of proinflammatory cytokines and enhanced the phagocytic function to protect against radiation-induced neuronal injury in cell models. Further, we profiled transcriptome data and verified that Tensin 1 (TNS1) may be the target of miR-122-5p in RBI. In summary, our results reveal a distinct role for miR-122-5p in regulating neuroinflammation in RBI, indicating that a non-invasive strategy for intranasal miR-122-5p administration may be an attractive therapeutic target in RBI, providing new insights for clinical trials. Further systematic safety assessment, optimization of drug administration, and clarity of mechanism will accelerate the process into clinical practice.

Radiation-induced brain injury (RBI) is a serious complication in patients who have received radiotherapy for head and neck tumors. Currently, there is a scarcity of information on early diagnostic and preventive methods of RBI. Accumulating evidence suggests that microRNAs are involved in the regulation of radiation injury, but the molecular biological mechanism of miRNAs in RBI is largely unknown. Therefore, in our study, microRNA sequencing was used to discover differential miRNAs in the hippocampus of RBI-modeled mice, which suggested that miR-741-3p was most significantly upregulated. To clarify the underlying mechanism of miR-741-3p in RBI-modeled mice, an inhibitor of miR-741-3p (antagomiR-741) was delivered into the brain via the nasal passage before irradiation. The delivery of antagomiR-741 significantly reduced miR-741-3p levels in the hippocampus of RBI-modeled mice, and the cognitive dysfunction and neuronal apoptosis induced by radiation were also alleviated at 6 weeks postirradiation. Downregulation of miR-741-3p was found to improve the protrusion and branching status of microglia after irradiation and reduced the number of GFAP-positive astrocytes. Additionally, antagomiR-741 suppressed the radiation-induced production of pro-inflammatory cytokines IL-6 and TNF-α in the hippocampus and S100B in the serum. Furthermore, Ddr2, PKCα and St8sia1 were revealed as target genes of miR-741-3p and as potential regulatory targets for RBI. Overall, our study provides identification and functional evaluation of miRNA in RBI and lays the foundation for improving the prevention strategy for RBI based on the delivery of miRNA via the nose-brain pathway.

With the development of the Internet, big data collection, analysis, and processing are flourishing. The study aims to explore the performance management of power enterprises based on multisource information fusion and big data. First, the application of big data to enterprise management is analyzed. Second, the multisource information fusion method is introduced, and the multisource information fusion model is implemented. Finally, the fuzzy language algorithm is used to evaluate the performance management of power enterprises. The results show that the proposed multisource information fusion algorithm has high efficiency in evaluating enterprise performance management. The evaluation result is closer to the actual value than other algorithms, and the maximum acceleration ratio can reach 7, indicating that the algorithm is suitable for processing big data. The performance evaluation shows that enterprises pay most attention to the quality of their products; the weight reached 0.414; and the index weight difference is large. This study promotes the reform of the performance management mode and improves the management efficiency of enterprises through the proposed enterprise performance management strategy. It provides a great reference for the application of big data and information fusion technology.

This study aimed to investigate whether HMGB1 (high mobility group box-1 protein) and receptor for advanced glycation end products (RAGE) were involved in the irradiation-induced endothelial barrier damage and their mechanism. We constructed the damage model of endothelium barrier model with bEnd.3 cells. The permeability of endothelial barrier was detected by sodium fluorescein (Na-F) permeation test, and the irradiation dose which could induce permeability transition was determined by being exposed to different irradiation doses (5, 10, 15, 20 Gy). MTT assay was applied to detect cell viability under different concentrations of HMGB1, glycyrrhizic acid (GA, a specific inhibitor of HMGB1), and FPS-ZM1 (a blood-brain-barrier permeant blocker of RAGE V domain-mediated ligand binding). The expression of HMGB1, RAGE, and related molecules involved in MAPK signaling pathway, MMP-2, MMP-9, ZO-1, and claudin 5 of differently treated groups were measured by qRT-PCR, western blot, and immunofluorescence. Cells possessed stable endothelial barrier function on 4-7 days after seeded on transwell plates. The permeability of endothelial barrier would change under at least 10 Gy radiation. Both radiation and HMGB1 treatment alone could improve the permeability. After irradiation, the expressions of HMGB1 and RAGE increased and MAPK signal pathway was activated. Meanwhile, MMP-2 and MMP-9 were overexpressed, while the expression of tight junction proteins ZO-1 and claudin 5 was decreased. Radiation could activate MAPK signaling pathway through promoting the expression of HMGB1 and RAGE, which further led to endothelial barrier injury and changed its permeability.

Although great efforts are being made using growth factors and gene therapy, the repair of bone defects remains a major challenge in modern medicine that has resulted in an increased burden on both healthcare and the economy. Emerging tissue engineering techniques that use of combination of biodegradable poly-lactic-co-glycolic acid (PLGA) and mesenchymal stem cells have shed light on improving bone defect healing; however, additional growth factors are also required with these methods. Therefore, the development of novel and cost-effective approaches is of great importance. Our in vitro results demonstrated that ESW treatment (10 kV, 500 pulses) has a stimulatory effect on the proliferation and osteogenic differentiation of bone marrow-derived MSCs (BMSCs). Histological and micro-CT results showed that PLGA scaffolds seeded with ESW-treated BMSCs produced more bone-like tissue with commitment to the osteogenic lineage when subcutaneously implanted in vivo, as compared to control group. Significantly greater bone formation with a faster mineral apposition rate inside the defect site was observed in the ESW group compared to control group. Biomechanical parameters, including ultimate load and stress at failure, improved over time and were superior to those of the control group. Taken together, this innovative approach shows significant potential in bone tissue regeneration.

Extracorporeal shockwave (ESW) has been shown of great potential in promoting the osteogenesis of bone marrow mesenchymal stem cells (BMSCs), but it is unknown whether this osteogenic promotion effect can also be achieved in other MSCs (i.e., tendon-derived stem cells (TDSCs) and adipose-derived stem cells (ADSCs)). In the current study, we aimed not only to compare the osteogenic effects of BMSCs induced by ESW to those of TDSCs and ADSCs; but also to investigate the underlying mechanisms. We show here that ESW (0.16 mj/mm2) significantly promoted the osteogenic differentiation in all the tested types of MSCs, accompanied with the downregulation of miR-138, but the activation of FAK, ERK1/2 and RUNX2. The enhancement of osteogenesis in these MSCs was consistently abolished when the cells were pretreated with one of the following conditions: overexpression of miR-138, FAK knockdown using specific siRNA and U0126, implying that all of these elements are indispensable for mediating the effect of ESW. Moreover, our study provides converging genetic and molecular evidence that the miR-138-FAK-ERK1/2-RUNX2 machinery can be generally activated in ESW-preconditioned MSCs, suggesting that ESW may be a promising therapeutic strategy for the enhancement of osteogenesis of MSCs, regardless of their origins.

As a type of mechanical stimulation, extracorporeal shockwave (ESW) has been widely used in the clinic to treat bone fracture delayed union and non-unions. A large number of studies have shown beneficial effects of ESW in promoting fracture healing by inducing bone regeneration; however, the underlying mechanisms remain unclear. ESW has been shown to induce the production of prostaglandin E2 (PGE2), which is essential for gap junction intercellular communication in response to mechanical stress. Among the 19 known gap junction subunits, connexin43 (Cx43) is the most prevalent for mediating the response of mechanical stress. However, to our knowledge, the effect of ESW on Cx43 expression has not been reported before. Herein, we propose that a crosstalk between PGE2 and Cx43 is involved in the enhancement of osteogenesis induced by ESW. We review the currently available data to propose an unrevealed, but important mechanism via which ESW treatment affects osteogenic differentiation of bone marrow stromal cells.