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Abstract To addresse the problem of poor detection accuracy or even false detection of wildlife caused by rainy environment at night. In this paper, a wildlife target detection algorithm based on improved YOLOX-s network is proposed. Our algorithm comprises the MobileViT-Pooling module, the Dynamic Head module, and the Focal-IoU module.First, the MobileViT-Pooling module is introduced.It is based on the MobileViT attention mechanism, which uses a spatial pooling operator with no parameters as a token mixer module to reduce the number of network parameters. This module performs feature extraction on three feature layers of the backbone network output respectively, senses the global information and strengthens the weight of the effective information. Second, the Dynamic Head module is used on the downstream task of network detection, which fuses the information of scale sensing, spatial sensing, and task sensing and improves the representation ability of the target detection head. Lastly, the Focal idea is utilized to improve the IoU loss function, which balances the learning of high and low quality IoU for the network. Experimental results reveal that our algorithm achieves a notable performance boost with mAP@0.5 reaching 87.8% (an improvement of 7.9%) and mAP@0.5:0.95 reaching 62.0% (an improvement of 5.3%). This advancement significantly augments the night-time wildlife detection accuracy under rainy conditions, concurrently diminishing false detections in such challenging environments.

COVID-19 sequelae are long-term symptoms of COVID-19. Cardiovascular disease is not only a risk factor for the occurrence of COVID-19 sequelae but also a potential result directly or indirectly caused by COVID-19 infection.

Objective: To study the molecular mechanism of celery seed inhibiting or treating gout by using network pharmacology and molecular docking. Methods: TCMSP database and the network maps were constructed with Cytoscape3.9.0 software. Gout-related targets were collected in GeneCard database and OMIM database, crossed with the main component targets of celery seed and imported into STRING database for protein-protein interaction （protein-protein interaction, PPI） analysis, core targets were obtained, core targets were introduced into DAVID, and GO function enrichment and KEGG pathway enrichment were performed in the database. Finally, AutoDock software was used to verify the key components with key targets. Results: There were 16 main components of celery seeds, 69 common targets. After topological analysis, quercetin, apigenin, luteolin, celery, five core components and 10 key targets of gout TNF, MAPK14, IL4, CXCL8, LYN, PDGFRβ, HCK, VEGFA, ITGA, IL2, were closely involved in inhibiting or treating gout. The results of GO and KEGG analysis showed that the core components of celery seed acted through regulating biological processes such as apoptosis, proliferation and migration, and through PI3K-Akt signaling pathway, IL-17 signaling pathway, MAPK signaling pathway, and NF-κB signaling pathway. The molecular docking results showed that the five core components were closely bound to the 10 key target proteins with high confidence, verifying the accuracy of the network pharmacology prediction results. Conclusion: This study reveals the role of celery seed in inhibiting or treating gout, and lays a foundation for the development of single Chinese herbal medicine and the study of "medicine and food homology" to control metabolic diseases.

Bortezomib (BTZ), a proteasome inhibitor, is a promising therapeutic option for multiple myeloma (MM) patients. However, drug resistance often occurs, leading to disease relapse and poor prognosis. In this study, we aimed to identify novel genes associated with drug resistance and investigate their roles in BTZ resistance. Through the screening of 26 genes frequently associated with chemosensitivity or drug resistance, we discovered that KDM4C, a histone demethylase, exhibited increased expression in BTZ-resistant MM cells compared to their sensitive counterparts. Overexpression of KDM4C enhanced the tolerance of a MM cell line to the drug, whereas the knockdown of KDM4C, using shRNA, increased the sensitivity of resistant cells to BTZ treatment. This suggests that KDM4C plays a pivotal role in conferring BTZ resistance. Our study offers fresh insights into BTZ resistance in MM and highlights KDM4C as a potential target for overcoming drug resistance.

C33H23Br2N5O4, triclinic, P1̄ (no. 2), a = 10.649(3) Å, b = 11.244(3) Å, c = 14.301(4) Å, α = 68.254(7)°, β = 72.939(7)°, γ = 81.125(7)°, V = 1518.5(7) Å3, Z = 2, Rgt(F) = 0.0514, wRref(F2) = 0.1327, T = 273(2) K.

Background: To assess the influence of serum level of YAP on laboratory examination findings, imaging findings and disease activity of rheumatoid arthritis patients combined cardiovascular disease (RA-CVD). Methods: RA-CVD patients (n=60), RA-nCVD patients (n=60) and healthy subjects (n=60) were recruited. Serum levels of YAP in them were detected by qRT-PCR. Their baseline characteristics were analyzed and compared. Disease activity, CVD risk factors and imaging findings in RA-CVD and RA-nCVD patients were evaluated and compared. In addition, potential influences of YAP on disease activity, CVD risk factors and imaging findings in RA-CVD patients were assessed. Results: RA-CVD patients had higher levels of ERS, anti-CCP, RF, HDL-C, CRP, FRS, BNP, LA, LVs, LVd and cIMT, and lower level of EF in comparison to RA-nCVD patients. Serum level of YAP was higher in RA-CVD patients than that of RA-nCVD patients and healthy subjects. YAP level was positively correlated to DAS28, TG, CRP, PLT, FRS, BNP and cIMT in RA-CVD patients. Conclusions: Serum level of YAP increases in RA-CVD patients. YAP is a potential factor driving the development of CVD in RA patients through regulating inflammatory response, lipid metabolism, glycometabolism and thrombosis.

In areas with high incidence of tuberculosis (TB), there are more infertile women who underwent in vitro fertilization (IVF) and have latent TB infection (LTBI), and thus, their potential risks should be paid enough attention. The purpose of our study aimed to analyze the relationship between LTBI and clinical pregnancy outcomes of IVF and fresh embryo transfer (IVF–FET). This was a retrospective study of 628 infertile women who had undergone IVF–FET in the Fourth Affiliated Hospital of Hebei Medical University from January 2019 to December 2021. The women experienced no clinical symptoms, negative imaging, and T-SPOT.TB-positive diagnosis of LTBI. We divided the study population into the LTBI group and the non-LTBI group. The clinical pregnancy rate in the LTBI group was significantly lower than that in the non-LTBI group (40.54% vs 49.51%, P = 0.031), and there was no significant difference in live birth rate and miscarriage rate between the two groups. Logistic regression analysis showed that LTBI was an independent risk factor for decreased clinical pregnancy rate in infertile women undergoing IVF–FET. In conclusion, LTBI affects clinical pregnancy rate of IVF–FET in infertile women, and therefore, clinicians (especially in countries with a high TB burden) need to pay attention to LTBI before IVF and embryo transfer.

A kind of fourth-order boundary value problem with eigenparameter-dependent boundary and transmission conditions is investigated. By constructing the characteristic function, we prove that the problems consist of a finite number of eigenvalues. We obtain that the number of eigenvalues of the problems not only depend on the order of the equation but also depend on the partition of the domain interval, the boundary conditions, and the eigenparameter-dependent transmission conditions.

The miR-141-3p has been reported to participate in regulating autophagy and tumor-stroma interactions in ovarian cancer (OC). We aim to investigate whether miR-141-3p accelerates the progression of OC and its effect on macrophage 2 polarization by targeting the Kelch-like ECH-associated protein1-Nuclear factor E2-related factor2 (Keap1-Nrf2) pathway. SKOV3 and A2780 cells were transfected with miR-141-3p inhibitor and negative control to confirm the regulation of miR-141-3p on OC development. Moreover, the growth of tumors in xenograft nude mice treated by cells transfected with miR-141-3p inhibitor was established to further testify the role of miR-141-3p in OC. The expression of miR-141-3p was higher in OC tissue compared with non-cancerous tissue. Downregulation of miR-141-3p inhibited the proliferation, migration, and invasion of ovarian cells. Furthermore, miR-141-3p inhibition also suppressed M2-like macrophage polarization and in vivo OC progression. Inhibition of miR-141-3p significantly enhanced the expression of Keap1, the target gene of miR-141-3p, and thus downregulated Nrf2, while activation of Nrf2 reversed the reduction in M2 polarization by miR-141-3p inhibitor. Collectively, miR-141-3p contributes to tumor progression, migration, and M2 polarization of OC by activating the Keap1-Nrf2 pathway. Inhibition of miR-141-3p attenuates the malignant biological behavior of ovarian cells by inactivating the Keap1-Nrf2 pathway.

In recent years, with the interaction and integration of modern cultural and creative industries with Chinese excellent traditional culture, various innovative cultural and creative products have been introduced, ushering in new opportunities for the inheritance and development of Chinese excellent traditional culture. In order to integrate Chinese cultural elements into the design of cultural and creative products. This paper draws on the characteristics of DNA inheritance and mutation in living organisms to construct a multi-objective optimization model of DNA elements, and by applying the model to the analysis stage of cultural and creative product design, the designed products can be more completely integrated into the elements of Chinese characteristic culture to effectively guide the design practice of cultural and creative products. This paper takes Dunhuang Tang Dynasty Feitian cultural elements as an example for practical research through the integration of Dunhuang Tang Dynasty Feitian cultural elements of a series of cultural and creative products for the satisfaction survey from the symbolic perception, beautiful shape, functional and practical, cultural connotations, innovation and novelty of the five dimensions of the design effect assessment, the furniture category of cultural and creative products scored the highest, the average value of 4.766, the cultural and creative products in the symbolic perception of the dimensions of the score is high. It shows that in the Dunhuang Tang Dynasty, Feitian cultural and creative products can be perceived as symbols of the characteristic culture of the period.

PurposeThis study aims to create and validate a clinical model that predict the probability of fertilization failure in routine in-vitro fertilization (IVF) cycles.MethodsThis study employed a retrospective methodology, gathering data from 1770 couples that used reproductive center’s of the Fourth Hospital of Hebei Medical University standard IVF fertilization between June 2015 and June 2023. 1062 were in the training set and 708 were in the validation set when it was randomly split into the training set and validation set in a 6:4 ratio. The study employed both univariate and multivariate logistic regression analysis to determine the factors those influence the failure of traditional in vitro fertilization. Based on the multiple regression model, a predictive model of traditional IVF fertilization failure was created. The calibration and decision curves were used to assess the effectiveness and therapeutic usefulness of this model.ResultsThe following factors independently predicted the probability of an unsuccessful fertilization: infertility years, basal oestrogen, the rate of mature oocytes, oligoasthenozoospermia, sperm concentration, sperm vitality, percentage of abnormal morphological sperm, and percentage of progressive motility (PR%).The receiver operating characteristic curve’s area under the curve (AUC) in the training set is 0.776 (95% CI: 0.740,0.812), while the validation set’s AUC is 0.756 (95% CI: 0.708,0.805), indicating a rather high clinical prediction capacity.ConclusionOur generated nomogram has the ability to forecast the probability of fertilization failure in couples undergoing IVF, hence can assist clinical staff in making informed decisions.

Objective: This study aimed to improve the high-value utilization of japonica starch and the comprehensive application of japonica layered starch. Methods: Japonica starch was extracted by alkaline and enzymatic methods, and the physicochemical indexes such as basic composition, solubility, swelling power and pasting characteristics of the 3 layers of starch after centrifugation were analyzed, and the structural characteristics were studied by scanning electron microscopy and infrared spectroscopy. Results: The contents of the three starch layers extracted by alkali and enzymatic methods ranged from 91% to 99%, with the highest relative proportion of the middle layer starch. The amylose content of the middle layer starch extracted by alkali and enzymatic methods was higher than that of the upper and lower layers, while the protein content and straight chain amylose content of the upper and lower layers starch were higher than that of the middle layer. The solubility and bulking power of all layers of starch extracted by alkali and enzymatic methods increased with the increase of temperature, and the thermal stability of the upper and lower layers of starch extracted by alkali and enzymatic methods was better than that of the middle layer of starch. The results of scanning electron microscopy showed that the starch granules of all layers extracted by alkaline and enzymatic methods were more complete, and the distribution of starch granules of all layers extracted by the enzymatic method was relatively sparse. In the infrared spectra, the main characteristic absorption peaks of all layers extracted by alkaline and enzymatic methods were similar, and the short-range orderliness of the middle layer was higher than that of the upper and lower layers of starch. Conclusion: The upper and lower starch layers of japonica rice can be further exploited to improve the comprehensive utilization of japonica rice resources.

Compared with the advanced and sophisticated industrial production, agriculture and food production appear backward and sloppy, and agricultural production management methods are lacking. The fourth industrial revolution, represented by information technologies such as intelligent perception, Internet of Things, block chain, big data and artificial intelligence, has empowered traditional industries, and agriculture has stepped into a new digital, intelligence and even wisdom, which could provide a new opportunity to improve agricultural production management. Existing agricultural production management research is mostly limited to the study of concept definition, applicable theory and other issues. The development of information technology has built up a low-level Internet of Things with certain coverage, which brings some convenience, but cannot effectively support agricultural management and decision-making due to data silos, data waste, data abuse, data falsification and other thorny issues. From the perspective of top-level design and system management, this paper addressed the problems in the development of smart agriculture, conceptualized the characteristics of the event and natural event chains in the agricultural industry chain. This paper also proposed for the first time an event-correlation management approach and its wisdom strategy. The implementation of the event-correlation method included five aspects, including goal alignment, index systematization, asset linkage, process linkage and effect traceability. The application of the event-correlation management approach and its wisdom in the 5T management standard designation for Jilin rice brand building and the “six-step fresh rice precision control technology” innovation system of Wilmar rice industry have shown that it can improve the culture of rice cultivation, and systematically reduce losses to improve quality and increase economic benefits.

Background: To explore the associations of serum high-sensitivity C-reactive protein (hs-CRP) and prealbumin (PAB) with the number of diseased coronary vessels, degree of stenosis and heart failure in patients with myocardial infarction (MI). Methods: A total of 39 MI patients treated in the Cardiology were selected as the observation group, and another 41 patients with normal results of coronary angiography during the same period were selected as the control group. The general data of patients were recorded in detail, the content of serum hs-CRP and PAB in the peripheral blood was detected, and the number of diseased coronary vessels and the degree of stenosis were detected via coronary angiography. Results: Compared with those in control group, the blood pressure and heart rate significantly rose, the content of indexes related to the severity of MI were significantly increased, the content of hs-CRP was significantly increased, and the content of PAB was significantly decreased in observation group. Hs-CRP was positively correlated with the number of diseased coronary vessels, degree of stenosis and heart failure in patients, but PAB was negatively correlated with the above factors. The survival rate of MI patients with high content of hs-CRP was obviously lower than that of patients with low content of hsCRP Conclusions: Serum hs-CRP and PAB are closely associated with the number of diseased coronary vessels, degree of stenosis and heart failure in MI patients.

Objective: This study aimed to optimize the compounding ratio of compounded brown rice flour. Methods: The effects of different ratios on the quality of compounded brown rice flour were analyzed by mixing refined white rice and brown rice (10∶0, 8∶2, 6∶4, 4∶6, 2∶8, 0∶10), and the optimal ratios were obtained by using the flushing properties, gelatinization characteristics, rheological properties, thermal properties, and in vitro digestibility as indicators. Results: With the increase of brown rice content, the peak viscosity, valley viscosity and final viscosity of compounded brown rice flour gradually decreased, and the initial gelatinization temperature, peak temperature and end gelatinization temperature all reduced, while the water solubility and solubility of rice flour decreased and the digestibility improved. Conclusion: The best quality of compounded brown rice flour was obtained when the mass ratio of compounded refined white rice and brown rice flour was 2∶8.

In order to characterize the pore structure and fractal characteristics of coal-measure sedimentary rocks, three types of typical sedimentary rocks of the Middle Jurassic shale, mudstone and sandstone were selected as the research objects. Through X-ray diffraction(XRD)analysis and nuclear magnetic resonance(NMR)experiment, the correlation between NMR fractal dimension, mineral composition and physical property parameters was discussed by using fractal theory. The results are as follows: ① Based on the relaxation time cut-off value T2C, the NMR fractal dimension of shale and mudstone can be divided into the fractal dimension of adsorption pore DA(T2 ≤3 ms)and the fractal dimension of seepage pore DS (T2 >3 ms). ② In terms of reservoir physical properties, NMR fractal dimension Df has a good linear negative correlation with porosity, permeability, and reservoir quality index, indicating that NMR fractal dimension can be used as an important indicator of rock physical properties. ③ In terms of mineral composition, the content of quartz and feldspar has a weak negative correlation with the fractal dimension Df, and clay minerals have different influences on the fractal dimension due to multiple factors such as sedimentary environment, physical and chemical properties and mineral content.

Alzheimer’s disease (AD) is an ultimately fatal, degenerative brain disease in the elderly people. In the current work, we assessed the defensive capability of isovitexin (IVX) through an intracerebroventricular injection of streptozotocin (STZ)-induced AD mouse model.

According to the design requirements of high-temperature combustion chamber, an advanced shaped hole structure was designed for film cooling. Numerical method was applied in this study to investigate the flow and heat transfer characteristics of shaped holes and compared with those of cylindrical holes. The influence of the forward expansion angle of shaped holes on the flow and heat transfer was studied. The results show that compared to cylindrical holes, the diffused structure of shaped holes decreases the momentum of jet flow, improves the adhesion characteristics of the cooling air film, increases the diffusion of the coolant air outflow and improves the cooling efficiency between adjacent columns of holes in the lateral direction. When the forward expansion angle increases, the expansion section induced the flow vortex, which reduces the radial velocity of coolant flow and enhances the diffusion of cooling air film both in streamwise and spanwise directions. However, as the forward expansion angle increases further, the scale of vortex inside the shaped hole grows. Too large vortex inside the shaped hole increases the coolant eject angle, which weakens the film covering effect. Additionally, the shaped hole results in an increase in lateral spreading and enhances the cooling effect between adjacent columns of the film hole. The enhancement of the film cooling characteristics is due to the change in the shape of the film hole, resulting in the enhancement of the flow vortex, which induces complicated secondary flow.

In order to explore the interaction relations of factors of miners' unsafe behaviors;emergent property theory is employed to extract the individual, managing, organizational and environmental factors that influence miners' unsafe behaviors based on 144 serious coal mine safety accident reports from 2009 to 2018.The DEMATEL/ISM methods are used to screen out key factors.On this basis, a miners' unsafe behaviors emergency model based on CGP was established.Then, using Netlogo simulation platform, the impact of these factors on the emergence degree and trend of the unsafe behavior of coal miners were dynamically simulated, and the simulation results under standard mode and analysis mode were compared and analyzed.The results show that the unsafe behaviors of coal miners is a emergent phenomenon under the influence of many factors.The emergence of unsafe behaviors of coal miners are affected by their personal educational level, the safety values of managers, the level of organizational safety commitment and safety status of workplace.In coal mine safety management, targeted measures based on these findings can be taken to pre-control and manage unsafe behaviors of miners.

A predator-prey model interaction under fluctuating water level with non-selective harvesting is proposed and studied in this paper. Sufficient conditions for the permanence of two populations and the extinction of predator population are provided. The non-negative equilibrium points are given, and their stability is studied by using the Jacobian matrix. By constructing a suitable Lyapunov function, sufficient conditions that ensure the global stability of the positive equilibrium are obtained. The bionomic equilibrium and the optimal harvesting policy are also presented. Numerical simulations are carried out to show the feasibility of the main results.

Abstract With the advent of the era of network information, the amount of data in network information is getting larger and larger, and the classification of data becomes particularly important. Current semi-supervised multi-map classification methods cannot quickly and accurately perform automatic classification and calculation of information. Therefore, this paper proposes an MR-MGSSL algorithm and applies it to the classification of semi-supervised multi-graph. By determining the basic idea and calculation framework of MR-MGSSL algorithm, the mining of optimal feature subsets in multi-graphs and the multi-graph vectorization performance time are taken as examples, and the proposed algorithm is compared with other semi-supervised multi-graph classification methods. The performance evaluation results show that compared with other classification calculation methods, MR-MGSSL algorithm has the advantages of low sensitivity to feature subgraph and short vectorization time. The method is used to extract and detect clouds in remote sensing images (GF-1 and GF-2).

Water absorption experiments under different water pressures were carried out on a series of shale samples collected from Shenyang of Liaoning province using a self-developed hydrophilic experimental system.At the same time,X-ray diffraction,high pressure mercury intrusion,scanning electron microscope and uniaxial compression experiments were performed on the shale rock samples before and after water absorption.The experimental results are as follows:① the absorbed water increases with time while the water absorption rate decreases with time and water absorption curves can be well fitted by an exponential function;② the water absorption capacities of the shale samples under different water pressures are remarkably different which are suggesting that water pressure can significantly increase the water absorptivity;③ the water absorption capacity and the clay mineral content are positively correlated which indicates that the clay minerals,specifically illite,plays an important role in water absorption process of the shale samples;④ the water absorption capacity and the effective porosity are negatively correlated and the reasons are closely related to a micro-structural perspective;⑤ the uniaxial compression strength(UCS)of the hydrated shale samples is negatively correlated with their water content and the increase of the porosity after water absorption may be an important reason for decreased strength of the hydrated shale samples.

Partner selection is the primary aspect of the formation of knowledge collaboration teams (KCTs). We propose a method of partner selection for KCTs based on a weighted social network analysis (SNA) method in which the individual knowledge competence and the collaboration performance of candidates are both considered. To select the desired partners, a biobjective 0-1 model is built, integrating the knowledge competence and collaboration performance, which is an NP-hard problem. Then, a multiobjective genetic algorithm (MOGA) is developed to solve the proposed model. Finally, a real-world example is provided to illustrate the applicability of the model, and the MOGA is implemented to search for Pareto solutions of partner selection for KCT in this case. Moreover, some simulation examples are used to test the efficiency of the algorithm. The results suggest that the proposed method can support effective and practical partner selection.

The Geza arc is an important part of the Sanjiang tectono-magmatic belt and is a newly discovered copper polymetallic ore concentration area in northwest Yunnan province, Southwest China. The area comprises numerous metal ore deposits, including one super-large deposit, three large deposits, etc. The formation of these deposits was closely related to intermediate–acidic magmatic intrusions. Based on previous studies, the “big data” analysis technique was used for a comparative study of large geochemical datasets of granite related to ore-formation in the Geza porphyry copper deposit and global adakites. As a result, 1313 element combinations and 127,765 overlap ratios were obtained. The results show that the Geza porphyry has similar geochemical characteristics to global adakites (the ratios of REE and Ga to major elements are in the range of global adakites). However, the Cu, Mo, and Zn contents of the porphyry are significantly higher than those of global adakites, and the porphyry may, therefore, represent an end-member of the global range of adakite composition. In addition, the geochemistry of adakites associated with the porphyry copper deposits overlaps in part with that of global adakites, although most of the data lie outside of the range of global adakites (i.e. low Mn/Cu, Sr/Cu, Na/Cu, and Zr/Cu values, and high Th/Cu, Ba/Cu, Na/Mo, Rb/Mo, Th/Mo, Ta/Mo, Ba/Mo, Mn/Zn, and Ba/Zn values). The samples with characteristics that deviate significantly from the geochemistry of global adakites show more advanced mineralization and alteration, and a stronger relationship with Cu and Mo mineralization. The results of geochemical data mining can be used as a prospecting indicator, and provide a new scientific basis for geological prospecting of the deep levels and periphery of the Geza Cu polymetallic ore belt.

Water absorption is one of the most important factors which can induce serious rock deformation and failure. Water vapor absorption experiments were carried out on rock samples collected from three different coal mines. Meanwhile, the mineral components, microstructure features and pore structure parameters were determined by means of X-ray diffraction, scanning electron microscopy and mercury intrusion porosimetry in order to comprehensively analyse the effects of clay minerals and micropore structure on water vapor absorption of the investigated rock samples. Results have shown that the patterns of the water vapor absorption curves of the three types of rocks were all characterized by a similar kind of dynamic process with decreasing water vapor absorption rate which could be well fitted by a negative exponential function. However, significant differences were found in water vapor absorption ability among the three types of rock samples which could be sorted in an order of Daqiang conglomerate > Shajihai mudstone > Halagou sandstone. Furthermore, the greater abundance of clay minerals contained in rock samples, especially smectite, the more and quicker water vapor absorption. Meanwhile, water vapor absorption is positively correlated with effective porosity, but is negatively correlated with fractional dimension which indicates that the bigger the effective porosity the greater the water vapor absorption ability and the more complicated the pore structures the weaker the water vapor absorption ability.

Rainfall is one of the major causes for instability and failure of slopes, as a result, slope sliding and destruction are closely related to rainfall infiltration.This paper selected the eastern slope of the open pit on the west side of the Ⅶ orebody of the Tonglüshan Ancient Copper Mine site as the analysis object.Firstly, numerical calculation models were set up according to the engineering hydrogeological conditions and the occurrence of the investigated slope.Then, by using the SEEP/W module of the GEO-STUDIO software, the internal seepage characteristics of the slope under different rainfall intensities were simulated.Finally, combining with the SLOPE/W module, the coefficients of slope stability under various rainfall conditions were calculated.The results have shown that with the increase of rainfall intensity, the internal seepage field of the eastern slope of the open pit mine changed significantly, and the coefficient of slope stability was negatively correlated with the rainfall intensity.

The combination of distributed generation and distributed energy storage technology has become a mainstream operation mode to ensure reliable power supply when distributed generation is connected to the grid. This paper first introduces two typical distributed energy storage technologies: pumped storage and battery energy storage. Then, it introduces the energy storage technologies represented by the “ubiquitous power Internet of things” in the new stage of power industry, such as virtual power plant, smart micro grid and electric vehicle. Finally, this paper summarizes and prospects the distributed energy storage technology.

At present, with the rapid growth of intermittent renewable energy, volatile power supply is replacing controllable power supply, and the difficulty of real-time balance between supply and demand is increasing year by year. In the future, the continuous development and utilization of this new energy will make the development and innovation of distributed energy storage technology become the general trend. Firstly, this paper briefly introduces the principle of distributed energy storage and the basic principle of multi energy coordinated operation, and analyzes its advantages and disadvantages from the perspective of economic optimization and energy utilization maximization. Secondly, it analyzes the application status and shortcomings at home and abroad, and puts forward the direction and expectation of possible breakthrough. Aiming at the problem that distributed energy storage can not participate in peak load regulation, the feasibility of multi energy interconnection distributed energy storage aggregation technology is discussed.

As the only way to build the energy Internet, the key and difficult point of integrated energy system is to plan it reasonably and efficiently. This paper analyzes and summarizes the basic strategy, key technologies, control difficulties and influencing factors of integrated energy system control, summarizes the existing problems at home and abroad, and summarizes the content framework and control model of general integrated energy system control covering the source, network, load and storage links in a comprehensive way based on the latest research progress. According to the latest research progress, the paper analyzes the current control schemes, and concludes the development trend of the current integrated energy system collaborative control, makes a reasonable outlook on the future, and provides a way of thinking for people to study the integrated energy system in the future.