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The amount of data collected from underwater explosion tests is enormous, which is mixed with a large amount of useless data. To protect the data from the effects of the explosion, it is crucial to prioritize the recognition and storage of key data during the test. In response to this, a key signal recognition model that combined feature extraction methods with deep learning models was proposed to improve the accuracy of key signal recognition. Firstly, different preprocessing methods for removing trend components from underwater explosion acceleration signals were studied. Existing test results demonstrated that wavelet packet decomposition, empirical mode decomposition, and high-pass filtering could significantly enhance the model’s recognition performance. Secondly, to make the extracted features more conducive to distinguishing between explosion and non-explosion segments, a feature extraction method based on the inter-class variance ratio for underwater explosion acceleration signals was proposed. According to the actual measured underwater explosion acceleration signal data, it was found that compared to Log Mel features, the proposed features improved classification accuracy by approximately 4.92% using the K-means method. Finally, the ECAPA-TDNN model incorporating the SE-Res2Block module was introduced, ensuring better recognition accuracy. With the proposed features as input, the recognition accuracy reached 99.31%.

Based on the green development trend and requirements of China’s coal industry, this paper analyzed the factors that coal mines consider in choosing filling mining methods and the constraints that affect the promotion of filling mining technology. According to the geographical distribution characteristics of different mining areas and the differences in filling demands, four types of priority principles of “protecting the ecological environment, protecting surface buildings, addressing coal gangue and solid waste, and improving economic efficiency” for coal mine filling mining were defined. The ecological mining goal of “building the whole process holographic intelligent ecological mine by adopting filling mining as a regulation tool to protect the ecological environment in coal mines” was put forward. Based on the finite deformation mechanical model of the roof in filling mining, the factors affecting the subsidence of target rocks in filling mining were expounded, and the supporting strength calculation and overburden deformation control equations under three filling engineering modes such as ecological environment protection, ground building protection and gangue treatment were established. In addition, the paper introduced the development status and direction of universal filling technology in coal mines in China, including solid filling of raw gangue waste, modified solid filling, gangue concrete filling, integrated mining-filling-charging, large amount of gangue filling, filling method in thin coal seam, filling method for regional protection, filling method in continuous mining roadway and other filling technologies that meet various needs of coal mines. The material preparation and transportation of different filling technologies, the characteristics of filling process and the adaptive filling equipment were described in detail. In order to realize the intelligent filling of coal mines, a comprehensive data perception system was established, which realized the intelligent process from unit to whole filling working face through spatial planning and filling effect judgment. The sensor network and artificial intelligence algorithm were combined to monitor and control the solid filling process of coal mine in real time, and improve the filling quality and filling efficiency. Coal mine filling mining will play a more important role in the long-term planning of China’s green mine construction. Strengthening the scientific and technological research of the whole process of coal mine production based on active filling, the construction of universal filling technology and process system, the development of new solid filling materials, and the research of intelligent filling mining, will help the filling mining technologies in China’s coal mines have a very broad prospect.

In the conventional process of geological hazard assessment, issues such as subjectivity in selecting susceptibility factor weights, randomness, and fuzziness in factor grading are prevalent. The application of a single assessment model can only provide qualitative evaluation of geological hazard susceptibility, lacking quantitative analysis. To overcome these challenges, this study employs an enhanced integrated algorithm (XGBoost) and cloud model. Among 189 disaster potential points in Chaoyang City, twelve susceptibility factors including slope, meteorological conditions, vegetation coverage and elevation were selected. The XGBoost classification algorithm was used to determine susceptibility factor weights. The results showed that the algorithm classification achieved high performance with fitting accuracy of 96.5%. On this basis, the cloud model was employed to transform the fuzzy factor grading into a quantitative problem, establishing a susceptibility evaluation index system for geological hazards in Chaoyang City, thereby assessing their susceptibility. To validate the evaluation index system, the Dadongshan landslide in Chaoyang City was selected as the assessment unit. Results indicate a high susceptibility level for this evaluation unit, consistent with actual conditions. The methodology proposed in this study is promising and can offers reference for evaluating geological hazard susceptibility.

Exploitation of mineral resources and construction of traffic facilities have led to the destruction of a large number of mountains, resulting in the formation of high and steep rock slopes, which have caused serious geological safety hazards and ecological function degradation. The ecological restoration of high and steep rock slopes is imperative. The key of slope ecological restoration is vegetation reconstruction. At present, there are still many problems such as lack of restoration theory and unclear reconstruction conditions. In order to clarify the relationship between the temperature and humidity fields and the plant growth in the rock slope, this study established a test site near Xiaodongshan in the city of Zhangqiu in Shandong Province. Multi-period monitoring experiments on the temperature and humidity field in the rock slope were carried out, the distribution characteristics of the temperature and humidity field in the rock slope are examined, and their ecological significance is analyzed in detail. The results show that (1) the atmospheric temperature causes the difference of the temperature variation in the monitoring hole in different seasons. In winter, the heat in the unsaturated zone of fractured rock mass is transferred from deep layer to surface layer, but in spring and summer it is opposite, The depth of the variable temperature zone ranges from 0 − 467 cm, and the depth of the constant temperature zone is greater than 467 cm. (2) In winter, the relative humidity in the slope first increases and then decreases with the increasing depth. In spring and summer, the relative humidity in the slope increases gradually with the increasing depth. (3) The water vapor saturated zone appears near the depth of 20 cm in winter, and begins to appear at the depth of 20 − 40 cm in summer and extends deeper. (4) The temperature and humidity in the rock mass are suitable for the growth of plants, and the plants are easier to survive if they are planted near the depth of 20 cm in spring. The results are of has important theoretical significance and application value for guiding the ecological restoration of rock slopes.

This is a paper in the field of metallurgical engineering. High-end titanium products, metallic titanium and chlorinated titanium dioxide, are of great strategic significance to economic development and national security.TiCl4 is an intermediate for the production of high-end titanium products. The main industrial production methods are molten salt chlorination and boiling chlorination. The titanium resources in our country contain high Ca and Mg impurities, which are more suitable for the production of TiCl4 by the molten salt chlorination method.However, there is a large amount of residue of molten salt chlorination generated, which has complex components and is difficult to be recycled. Direct discharge of those residue will pollute the environment and waste resources.This paper systematically analyzes the research status and development trends of comprehensive treatments of residue of molten salt chlorination at home and abroad.It is pointed out thatdeep burial and accumulation after lime neutralization treatment of residue of molten salt chlorination cannot solve the environmental pollution problem.The water solution treatment can specifically recover certain substances in the filtrate, but the amount of wastewater is large, and the removal of impurities is difficult. Additionally, the process flowsof those water solution treatmentsare always complicated, and there is no effective utilization of the filter residue. The non-water-soluble methods have unique development advantages, among which the method of high-temperature phase transformation is a promising treatment, which could recycle and utilize the residue of molten salt chlorination at high temperature without coolingand water dissolution, quite reducing the amount of wastewater, environmental pollution,and resources loss.

Geological observation and thermal simulation experiments have revealed that the peak period of hydrocarbon generation of gypsum-bearing mudstone is often advanced in sedimentary basins, but the correlation between the amount of advance and the content of gypsum is still not clear. In this study, the source rock powder samples with different gypsum content in the Lower Ganchaigou Formation from well S49-1 in the western Qaidam Basin were selected and extracted to remove soluble organic matter (SOM). Part of the extracted residue was pickled to remove carbonate. Rock pyrolysis analysis was performed on the original samples and the solid residue after two-step pretreatment. Compared to the Tmax of original samples, the Tmax was higher in the SOM-free residue but lower in the SOM-free and carbonate-free residue, showing that SOM and sulfate minerals (gypsum and anhydrite) in gypsum-bearing mudstone can promote the thermal evolution of organic matter. Although the latter has a more significant effect, it is not proportional to its sulfate content, indicating that the contact area of sulfate minerals and organic matter is more important to Tmax. The hypothesis was verified by the Tmax values of different proportions of kerogen and magnesium sulfate powder mixtures. Therefore, the occurrence state of sulfate minerals will directly affect the contact relationship between organic matter and sulfate, which in turn will affect the process of hydrocarbon generation in thermal evolution.

To improve the performance of multibeam satellite (MBS) systems, a deep reinforcement learning-based algorithm to jointly optimize the beam hopping and coverage control (BHCC) algorithm for MBS was proposed.Firstly, the resource allocation problem in MBS was transformed to a multi-objective optimization problem with the objective maximizing the system throughput and minimizing the packet loss rate of the MBS.Secondly, the MBS environment was characterized as a multi-dimensional matrix, and the objective problem was modelled as a Markov decision process considering stochastic communication requirements.Finally, the objective problem was solved by combining the powerful feature extraction and learning capabilities of deep reinforcement learning.In addition, a single-intelligence polling multiplexing mechanism was proposed to reduce the search space and convergence difficulty and accelerate the training of BHCC.Compared with the genetic algorithm, the simulation results show that BHCC improves the throughput of MBS and reduces the packet loss rate of the system, greedy algorithm, and random algorithm.Besides, BHCC performs better in different communication scenarios compared with a deep reinforcement learning algorithm, which do not consider the adaptive beam coverage.

[Introduction] With the development of Marine economy, more and more projects of offshore wind power transmission, offshore oil and gas platform power supply and island network power supply involve laying submarine cables. At present, the main laying protection method is direct burial laying, but the buried depth design without considering the economy is obviously unreasonable. In order to effectively protect the submarine cable and reasonably control the investment, it is necessary to determine the reasonable burial depth of the submarine cable in the project development stage. Therefore, in the absence of sufficient design input data, this paper proposes a simplified calculation method for the depth of anchor penetration, which provides a basis for determining the laying protection scheme in the early stage of the project. [Method] In this paper, the anchor penetration process was divided into three stages to establish mathematical models, and a series of boundary conditions were assumed for the anchor penetration process. On this basis, based on the energy method, we analyzed and deduced the mechanical model of the anchor movement process at each stage, and proposed a simplified calculation method of the anchor penetration depth considering the shear damage of the seabed substrate. By conducting a comparative analysis of the calculated values of the method and measured values under different situations, we explored the applicability and scope of the calculation method. [Result] The comparison between the calculated value of this simplified method and the measured result shows that this calculation method is suitable for calculating the depth of anchor penetration in the case of clay with shear strength greater than 20 kPa, and the calculation error of this method is within the acceptable range. [Conclusion] From the comparative analysis of the calculation results in this paper, it can be seen that the simplified calculation method has guiding significance for the application in engineering practice, but the method still needs to accumulate different measured data in practice for verification and fitting correction, and combine the empirical method and probabilistic method for further analyses, to provide design basis for submarine cable laying protection.

The transmission efficiency of the reducer is the main factor affecting the efficiency of the whole transmission system. Establishing the transmission efficiency model and analyzing the influencing factors on transmission efficiency are of great significance to improve the transmission efficiency of electric vehicles. According to the characteristics of electric vehicle reducer， four transmission efficiency loss factors including gear meshing loss， bearing loss， oil stirring wind resistance loss and oil seal loss are analyzed and the transmission efficiency calculation model is established. The lubricant， speed and torque are developed. The effects of oil， speed and torque on the transmission efficiency of single gear two-stage reducer for electric vehicles are studied theoretically. A high-speed three-axis comprehensive performance test bench is built and the orthogonal experimental research on the precision of an established model and the influencing factors of transmission efficiency are performed. The theoretical and experimental research results show that： the maximum relative error of the established model is -0.59%， which is less than that of ISO/TR 14179—1：2001 （-1.75%）； as the speed increases， the transmission efficiency gradually decreases； the speed has the greatest influence on transmission efficiency； as the torque increases， the transmission efficiency gradually increases； the lower the lubricating oil temperature is， the lower the transmission efficiency becomes； the influence of the lubricating oil grade on the transmission efficiency is not obvious； the lower the lubricating oil viscosity is， the higher the transmission efficiency becomes and the oil has the least influence on transmission efficiency.

Based on investigation of studies of reclamation survey by remote sensing both at home and abroad and demand analysis of process normalization for reclamation survey by remote sensing of North China Sea, the process of reclamation survey by remote sensing was standardized. The main content of specification for reclamation survey by remote sensing was presented and the future of its application and development was forecasted.

Titanium resources are enriched to extract titanium and remove impurities to obtain titanium-rich materials that meet the requirements of boiling chlorination furnace charge. However, the fine-grade rich titanium materials make up a large part, and it cannot meet the particle size requirements of boiling chlorination furnace charge. The fine-grade rich titanium materials tend to cause problems such as channel flow, slugging and escapes from the furnace during boiling chlorination process, resulting in low boiling chlorination rate, inadequate reaction of the charge, and severely affects the stable running of boiling chlorination process. Therefore, granulating the fine-grade rich titanium materials to meet the requirements of the raw material particle size is one of the key issues in preparing high-quality boiling chlorinated furnace charge. This paper summarizes the granulation method of fine-grade rich titanium materials particles and the required binders in detail, analyzes the problems in the current granulation method of fine-grade rich titanium materials and the binders used, and points out that the use of inorganic or organic-inorganic composite binders with low consolidation temperature to fluidize granulation of fine-grained titanium-rich materials is beneficial to the development direction of industrialization.

The indoor wireless local area network has the problem of uneven signal coverage.Moreover, a mismatch between the wireless bandwidth and the incoming broadband rate exists.The research status of wideband indoor wireless coverage was provided with traditional technologies.A new signal coverage technology combining the optical gateway and remote extension covering equipment, using the optical fiber as the transmission medium, was proposed.Experimental results on two examples show that uniform indoor wireless signal coverage and a gigabit level of the rate can be achieved when using the proposed technology.

Background and objective Patients with pulmonary nodules are treated by minimally invasive surgery, and postoperative symptoms have become the main factors affecting patients' emotion and quality of life. This study aimed to analyze the changes of postoperative symptoms in lung cancer patients with pulmonary nodules. Methods The clinical data of eighty-eight lung cancer patients admitted to the same medical group of Department of Thoracic Surgery, West China Hospital of Sichuan University from June 2021 to September 2021 were prospectively collected and analyzed. The types and severity of clinical symptoms before operation, on discharge day, 30-day and 90-day after operation were analyzed. Results The incidence of postoperative symptoms in lung cancer patients was 79.5%, and most patients suffered from mild (54.3%) and moderate (32.9%) symptoms. The main postoperative symptoms of lung cancer patients were pain (55.7%) and cough (37.2%). The incidence of pain at discharge (55.7%) was significantly higher than that at 30-day (23.7%, P=0.01) and 90-day (12.0%, P=0.01) after discharge. The incidence of cough was significantly higher at 30-day (66.1%) and 90-day (66.0%) than that at discharge (37.2%) (P=0.01, P=0.04). Conclusion The main postoperative symptoms of lung cancer patients with pulmonary nodules are pain and cough. The incidence and severity of pain decreases with time, and the incidence of cough increases but the severity decreased gradually.

The frequent fluctuation of gas flow during the storage and transportation can easily lead to the failure of filter cartridge and the shortening of its service life. Thus, an experimental device for the filtration performance of coalescence filter cartridge was established according to the relevant test standards. On this basis, the effects of apparent gas velocity and its dynamic change on the saturation of oleophobic coalescence filter cartridge, the liquid distribution and the state of downstream droplets were analyzed, and a new method of setting baffle inside the filter cartridge was proposed. In addition, the optimal baffle height that could greatly improve the performance of filter cartridge was explored. The results show that the saturation of the first layer, especially the lower part, of the filter cartridge decreases with the increase of apparent gas velocity. The dynamic change of apparent gas velocity has a great influence on the saturation of the first and last layers of filter cartridge. Increasing the apparent gas velocity appropriately within the acceptable range of experiment can accelerate the migration of liquid. However, the adhesion of fiber to droplets is relatively weakened when the apparent gas velocity reaches 0.5 m/s, and thus the droplets are easy to detach from the fiber, leading to the re-entrainment and further reducing the filtration efficiency. The baffle structure inside the filter cartridge can effectively avoid the re-entrainment of droplets at high apparent gas velocity. The filtration performance of the filter cartridge is improved most significantly at the baffle height of 15 cm, and the number concentration of downstream droplets is also decreased by 97.3% compared with the structure without baffle. Conclusively, the research results could provide important guidance to the development of efficient coalescence filter cartridge and the optimization of storage and transportation process of natural gas.

The vulnerable marine ecosystem (VME) faced the great threat from the fast development of bottom trawl fisheries since the 21st century, leading to the unsustainable development of deep-sea fisheries in the high seas and the reduction of marine biodiversity. In order to better achieve the goal of conserving marine fishery resources and protecting marine biodiversity, at the same time provide a reference for China in VME conservation and management of deep-sea fisheries in the high seas, this paper analyzed the series of measures about VME taken by 8 regional fisheries management organizations (RFMOs) and the feasibility of protecting the VME, put forward countermeasures and suggestions for the existing problems, and looked forward to China in RFMO about the VME protection. The results showed that the International Guidelines for the Management of Deep-Sea Fisheries in the high seas played an important guiding role in the practice of RFMOs in protecting VME. The measures taken by the RFMOs limit deep-sea fishing activities, but provided an important basis and guarantee for the protection of the VME and the conservation of marine fishery resources. In the future, RFMOs should strengthen information sharing and technical cooperation, develop VME distribution prediction technology, while actively conducting bilateral and multilateral cooperation in protecting marine biodiversity. China should further study and practice ecosystem-based fishery management methods, balance the relationship between conservation and exploitation, actively participate in international fishery management and VME protection and promote cooperation, and strengthen the comprehensive management of marine protected areas in Antarctic waters.

Oil evaporation and vapor diffusion from storage tanks will have adverse effects on atmospheric environment, social economy and the safety of tank farm. In this study, the current status and achievement of the researches on oil evaporation and vapor diffusion were summarized in terms of theoretical analysis, experimental research and numerical simulation for tracing carbon emission from storage tanks. Specifically, the potential mechanism of vapor-liquid phase change, mass transfer of oil vapor in the tank gas space, and vapor diffusion were revealed through theoretical analysis. Meanwhile, the field test and wind tunnel experiment were reviewed, which show that most experimental researches are performed in the aspects of temperature variation characteristics of crude oil in tanks, oil vapor emission during vehicle and ship loading, and dynamic structural change of storage tanks. In addition, simulation methods like Direct Numerical Simulation (DNS), Reynolds Average Navier-Stokes (RANS), and Large Eddy Simulation (LES) were used to analyze the vapor-liquid mass transfer, dynamic tracing of oil-gas interface and the process of vapor diffusion and flow under the coupling of different factors, which could trace diffused substances in a wide range with lower costs and shorter time. Finally, based on the low-carbon development demand of oil and gas industry, suggestions and prospects for oil evaporation and vapor diffusion in storage tanks were put forward with the expectation to maximize the comprehensive benefits of environmental protection.

The partial discharge occurs in IGBT device module of mine equipment.which leads to the breakdown of insulation and burns the device.In this paper the causes and characteristics of pd in IGBT module were studied.Therefore, based on the research of material structure, the partial discharge process model for the internal circuit of IGBT device module in coal mine equipment, which is under ultra-high slope pulse square wave, is innovatively proposed and verified by experiments.Then, the partial discharge characteristics of the device module under monopulse or repeated pulses are tested by the experimental platform, and the influence of the pulse rise time and pulse width on the partial discharge of the internal circuit of the device module is analyzed.According to the experiment results of partial discharge under a single pulse, the prediction formula for predicting and calculating the partial discharge initial voltage is innovatively proposed and verified.A certain reference for the insulation design and performance conditions of IGBT device modules in mine equipment is provided.

Study on the law of oil vapor leakage and diffusion in inner floating roof tanks is of great significance for strengthening environmental pollution control and ensuring tank farm safety. The wind tunnel test platform was established to test the effects of wind speed and floating plate position on evaporation loss rate of small inner floating roof tank, and the distribution laws of wind field and concentration field were investigated. Based on CFD numerical simulation, the UDF was used to introduce environmental wind, the numerical model of oil vapor leakage and diffusion from inner floating roof tank was established, and the feasibility of the simulation was verified by wind tunnel experimental data. The distribution law of wind field and wind pressure outside the inner floating roof tank, as well as the influence of wind speed on the flow field distribution and the diffusion concentration of oil vapor in the inner floating roof tank, was emphatically discussed. The results show that the lower the floating plate position and the higher the wind speed, the faster the evaporation rate will be. The static pressure distributed on the tank wall is as follows: highest on windward wall, medium on leeward wall and lowest on the two side walls. Under different wind speeds, the distribution of oil vapor on the tank is symmetrical. The lower the wind speed, the higher the oil vapor mass concentration will be. The oil vapor concentration at the gap between floating plates is the highest, leaving hidden dangers of safety and environmental pollution. The research results are of reference value for the design, operation and maintenance of the inner floating roof tank and environmental protection and safety management.

Based on the technology of traditional macaroni, pregelatinized buckwheat flour and high-gluten flour were used as the main raw materials to process non-fried buckwheat instant noodles. The effects of fermentation once with long time and many times with short time, and pressing on farinograph properties of buckwheat flour, texture properties,rehydration character and sensory quality of noodles were investigated. The results showed that fermentation could significantly improve the brewing properties of the noodles, while pressing had no effect on the quality of the noodles. Through the application of fermentations and pregelatinized non-fried buckwheat instant noodles with good brewing quality and mouth feel was obtained.

To solve problems of low accuracy and fewer types of human motion state recognized by current smart phones,a method to do hierarchical recognition by using acceleration sensors and gravity sensors was proposed.Firstly,linear acceleration in inertial coordinate system and independent of phone direction was calculated by using the relation between acceleration and gravity acceleration.Secondly,according to the span of human motion frequency and linear acceleration vector,positions of peak and trough of footsteps were determined.Finally,feature vector of linear acceleration in time domain was extracted and human motion states were recognized hierarchically by using hierarchical support vector machine (H-SVM).The experiment shows the method can recognize six usual human motion states,while accuracy rate up to 93.37%.

In order to improve the accuracy and efficiency of the discovery of the antenna-feeder problem,an optimal direction angle solution based on Gaussian distribution was proposed to diagnose the antenna-feeder coverage problems of operators.First of all,the location direction information between each MR sampling point reported by the UE and the base station was calculated,and then the proportion of MR sampling points in each interval was calculated,Based on the Gaussian distribution feature,the angle range with the largest proportion of MR sampling points was the appropriate azimuth,which was based on the user hotspot distribution of the sector.Finally,the date of optimal azimuth was compared with the base station azimuth in the background antenna database to detect antenna feeder problems,such as cross feeder,improper antenna coverage direction and incorrect background antenna database,and so on.The field verification shows that,the cost,accuracy and efficiency of the antenna-feeder problems are obviously improved compared with the existing methods.

Objective To observe characteristics of resting-state functional magnetic resonance imaging (rs-fMRI) in patients with major depression and explore the possible pathogenesis. Methods A total of 24 major depression patients and 26 sex-, age- and education-matched healthy controls were scanned with rs-fMRI based on amplitude of low-frequency fluctuation (ALFF). The correlation between mALFF values of brain regions and Hamilton Depression Rating Scale-17 (HAMD-17) score was analyzed by Spearman rank correlation analysis. Results Compared with control group, mALFF values in bilateral dorsolateral prefrontal cortex (DLPFC), right orbital superior frontal gyrus, right inferior temporal gyrus, left operculum inferior frontal gyrus, left medial superior frontal gyrus and left gyrus rectus in major depression group were significantly increased (P < 0.05, for all; AlphaSim correction), while mALFF values in bilateral supplementary motor area (SMA), right posterior cingulate gyrus, right precuneus and left lingual gyrus were significantly reduced (P < 0.05, for all; AlphaSim correction). Spearman rank correlation analysis showed mALFF values of brain regions in major depression patients was not significantly correlated with HAMD-17 score (P > 0.05, for all). Conclusions Abnormal brain spontaneous activity within default mode network (DMN) and limbic system could emerge in major depression patients during resting-state, which may be neurobiological substrate of major depression. DOI: 10.3969/j.issn.1672-6731.2018.03.005

As the improvement of the enterprise’s informationalization level and the increasing management requirement of enterprise refinement，the demand of data management of enterprise is becoming greater and greater，how to improve the data quality of the enterprise is the key problem needed to be solved. Aiming at the challenges of data quality management that the power enterprise faces，some solutions for distributed data quality management were proposed. After researching the system features of data quality，some foreign and domestic cases of big data were analyzed as reference，and a solution based on Hadoop distributed processing framework was given to solve the performance bottleneck of centralized data quality system. Hadoop clustering could dissociate defect data from Oracle and the data would be stored separately on multiple servers of the clustering，which could improve the I/O performance and data analysis performance of the magnetic disk effectively.

On the purpose of solving the problems of the traditional modes，such as difficult to realize the user personalized design，tough to fuse data，and unable to respond to the user demand，some ideas of construction mode for experience informationization based on user experience were presented.Extending from the traditional enterprise informatization，the new mode based on the massive amounts of data.The new mode uses the data asset-like management for guarantee，and uses the service-oriented data processing method for support，to achieve the user experience application，which is form an end user perspective.In the end，a typical application scenario including data trading platform，data asset-like management，high-speed computing service，and public platform，was put forward.

Introduction: Single and double base runs are the most suitable situations to test the running speed of softball players. In women's fastpitch softball, excellent baserunning speed and skill can increase the momentum of the offensive team and put pressure on the defensive team. Baserunning speed may be affected by different situations. The purpose of the presengt study compared baserunning times between different situations (matches and practices) and hitting outcomes (fly and ground balls). Methods: High-speed videos of a team's single and double base runs were analyzed. Twelve female college softball players were recruited for this study: six right and six left batters. Their base running times were compared between situations (match and practice) and hitting outcomes (fly ball and ground ball) using two-way repeated measures analyses of variance. Results: The single-base running speed varied depending on the situation and hitting outcome, with post-hoc comparisons revealing significant differences. Both in matches and practices, the running speed was significantly faster for ground balls than for fly balls (p < 0.001). The running speed for ground and fly balls was also significantly faster during matches than during practices (p < 0.001), with ground ball speeds showing a greater increase in matches than fly ball speeds. Regarding double-base running, only the hitting outcome had a significant main effect, with double-base running speeds significantly faster with ground balls than with fly balls (p < 0.001). Conclusion: The baserunning situation influences the speed of women's baseball players' baserunning. Their running speeds were faster during matches than during practices, particularly for ground balls, which are more affected by the situation. Regardless of single or double-base running or match/practice situations, running speeds are faster after hitting a ground ball than a fly ball. [ABSTRACT FROM AUTHOR]

With the proposal of the carbon peaking and carbon neutrality goals, China's energy structure is gradually shifting from relying on fossil fuels to relying mainly on renewable and clean energy systems. However, clean energy represented by wind and photovoltaic power generation is difficult to operate and consume separately due to output fluctuations and uncertainties. Hydropower stations have good regulation capabilities and can operate in conjunction with wind farms and photovoltaic power stations to alleviate the instability of new energy generation. The southwestern region of China is rich in hydropower resources, and a large number of cascade hydropower stations with regulatory reservoirs have been built. The complementary operation of cascade hydropower with wind power and photovoltaic resources around the watershed, and the full utilization of the regulating capacity of cascade hydropower to bundle and deliver high-quality electricity, is an important means of achieving energy transformation. To quantify the carrying capacity of cascade hydropower stations on wind power and photovoltaic resources, this paper proposes a nested calculation model for medium to long-term optimal scheduling of hydropower to short-term optimal allocation of hydro-wind-photovoltaic power. The short-term scheduling calculation boundary is determined based on the mid-term and long-term optimization scheduling calculation results of hydropower, the scale of wind and photovoltaic power during short-term scheduling is adjusted, and scheduling with the goal of maximizing source load matching, maximizing power generation, and minimizing abandoned power are optimized. Decoupling is carried out by using a hierarchical nested strategy to calculate the scale of wind and photovoltaic resources that can be carried by cascade hydropower stations. Applying this model to the cascade hydropower station group in the Yalong River Basin, the scale of wind and photovoltaic resources carried by the "three reservoirs and seven cascade" cascade hydropower stations in the Yalong River Basin is calculated. The research results show that considering the 2025 planning level year and 5% curtailment rate constraint, the cascade hydropower in the Yalong River basin can carry 1.396 million kW of wind power resources and 10.74 million kW of photovoltaic power resources. The research results have a certain reference value for the optimization of water solar energy complementary power generation systems in the watershed. [ABSTRACT FROM AUTHOR]

A two-year (2020-2021) field experiment was conducted at the National Agricultural Environmental Station for Agricultural Environment in Fuxin. The experiment was conducted in a completely randomized block design, consisting of five sowing dates with three furrow depths each year. Seeds were sown on April 11 (T1), April 18 (T2), April 25 (T3), May 2 (T4) and May 9 (T5), respectively, in 2020, and were sown on April 18 (T2), April 25 (T3), May 2 (T4), May 9 (T5) and May 16 (T6), respectively, in 2021. The furrow depths including 5cm (D0, convention planting as the control), 10cm (D1) and 20cm (D2), respectively. By measuring above-ground dry matter, grain yield and yield components, soil water content on the sowing and harvesting day, and soil water storage and maize water use efficiency were calculated, so as to explore the rule of dry matter accumulation and allocation of spring maize, and the changes in resource utilization efficiency under the influence of sowing dates and furrow depths. Both contribute to optimize the cultivation technology of spring maize by selecting suitable sowing date and furrow depth in semi-arid region. The results showed that the sowing dates from April 18 to May 2 were beneficial to the accumulation of above-ground dry matter. Compared with the average of other sowing dates, the maturity period was increased by 8.0%, and promoted the allocation of dry matter to ear weight, with an average yield 9.9% higher than other sowing dates. The water use efficiency was significantly improved. The production efficiency of solar radiation, growing degree days, and rainfall increased first and then decreased with the delay of sowing date. The above-ground dry matter and panicle ear weight were D2>D1>D0 in different furrow depth treatments at the maturity stage. The grain yield of D2 and D1 treatments was significantly higher than that of D0 (11.1% on average), and there was a significant difference in water use efficiency in 2020. Considering yield, resource utilization efficiency and variation coefficient of yield, authors concluded that suitable sowing dates(April 25-May 2) and 20cm furrow depth were the most beneficial to high yield and resource utilization efficiency of maize in semi-arid area of western Liaoning. [ABSTRACT FROM AUTHOR]

The purpose of this research was to investigate the immediate and 3-week short-term effects of kinesio taping (KT) on balance and walking ability in patients with stroke during post-acute care (PAC). A randomized controlled trial was designed to compare the outcome. Twenty stroke patients were randomly allocated into the KT or control group. After the KT intervention, there was no significant improvements in KT group in either balance or walking ability. After 3-week physical therapy, there were significant improvements in berg balance scale (BBS), 10 meter test (10MWT) and 6-minute walk test (6MWT) in both groups ( p<0.05). However, no significant differences in BBS, 10MWT, 6MWT and functional ambulation category scale between groups was found ( p>0.05). The results of this research demonstrated that KT seems to have no immediate and short-term effects on balance, walking speed, cardiopulmonary endurance and walking ability of PAC stroke patients. [ABSTRACT FROM AUTHOR]

Passive radars based on FM radio signals have low detection probability, high false alarm rates and poor accuracy, presenting considerable challenges to target tracking in radar networks. Moreover, a high false alarm rate increases the computational burden and puts forward high requirements for the real-time performance of networking algorithms. In addition, low detection probability and poor azimuth accuracy result in a lack of redundant information, making measurement association and track initiation challenging. To address these issues, this paper proposes an FM-based passive radar network based on the concepts of elementary hypothesis points and elementary hypothesis track, as well as a track initiation algorithm. First, we construct possible low-dimensional association hypotheses and solve for their corresponding elementary hypothesis points. Subsequently, we associate elementary hypothesis points from different frames to form multiple possible elementary hypothesis tracks. Finally, by combining multi-frame radar network data for hypothesis track judgment, we confirm the elementary hypothesis tracks corresponding to the real targets, and eliminate the false elementary hypothesis tracks caused by incorrect associations. Result reveal that the proposed algorithm has lower computational complexity and faster track initiation speed than existing algorithms. Moreover, we verified the effectiveness of the proposed algorithm using simulation and experimental results.

Objective On December 18, 2023, an MS 6.2 earthquake occurred in Jishishan County, Gansu Province, China. Coseismic geological hazards induced by the earthquake crucially threatened the safety of personnel and property. Existing research is mainly concentrated in the vicinity of active faults and the concentrated distribution area of hidden danger points. Moreover, no special susceptibility assessment studies have been carried out on coseismic geological hazards in the administrative area of Jishishan County, making it challenging to meet the needs of the county's post-disaster recovery and reconstruction planning. Hence, the development laws of coseismic geological hazards must be summarized and analyzed crucially, and county susceptibility must be analyzed in time to support post-earthquake recovery and reconstruction. Methods The development characteristics of coseismic geological hazards are analyzed and summarized through emergency investigations, field surveys, and result analysis. Using the newly added and exacerbated coseismic hazard points identified during post-earthquake investigations as analysis samples, influencing factors were selected using the Pearson correlation coefficient and random forest Gini coefficient analysis methods. Then, a machine learning-random forest model was applied to assess the susceptibility of coseismic geological hazards in Jishishan County. Results In analyzing the development characteristics of coseismic geological hazards, we identified 134 instances of increased and exacerbated hazards in Jishishan County. Overall, the degree of development of these hazards was relatively low, with primarily small-scale occurrences. These hazards were categorized into three main types and eight sub-categories: ① Collapse (including cut slope loess collapse, high loess collapse, and high rock collapse); ② Landslide (encompassing loess landslide, secondary sand/mudstone landslide, and potential landslide); and ③ Debris flow (comprising gully debris flow and slope debris flow). In terms of factor selection, 15 influencing factors were screened. Regarding the susceptibility assessment results, the AUC value of the susceptibility assessment results of coseismic geological hazards in most Jishishan counties was 0.961, and the results showed that the areas of extremely high susceptibility accounted for approximately 8.67 %, mainly distributed in Hulinjia, Xuhujia, Liugoujia, and other townships. The statistical results of the proportion of susceptibility zones in 17 townships in Jishishan County showed that the top three townships with the largest proportions of extremely high-susceptibility areas are Hulinjia (24.67%), Xuhujia (21.24%), and Biezang (20.94%). Conclusion (1) Most coseismic geological hazards in Jishishan are distributed in the loess hilly area, with few occurrences in the Jishishan area and the right bank terrace of the Yellow River. (2) The influence of elevation and peak ground acceleration (PGA) on hazard occurrence is notably greater than that of other factors, playing a predominant role in developing coseismic geological hazards. (3) Utilizing the random forest model, the susceptibility assessment of coseismic geological hazards in Jishishan County demonstrates high accuracy, with hidden danger points clustered in highly susceptible areas. This alignment between susceptibility assessment results and the spatial distribution of hidden dangers underscores the reliability of the assessment outcomes. Significance In addition to identifying existing hidden danger points, this study offers predictive insights into slope deformation and potential landslides significantly affected by seismic cracking. The assessment results exhibit high accuracy and reliability, offering valuable geological safety support for post-disaster recovery and reconstruction planning in the county.

The concentration, complexity, and significant anisotropy of in-situ stress make it a pressing and challenging issue in engineering geology safety in strong tectonic activity areas. This paper firstly analyzes the application and existing problems of in-situ stress measurement in deep-buried underground engineering in strong tectonic activity areas. Then, it focuses on the application method, technology, and roles of real-time in-situ stress monitoring in deep underground engineering within tectonically active regions. Finally, it discusses the problems that need to be considered in the application of in-situ stress measurement and real-time monitoring. The results show that in the strong tectonic activity area, relying solely on limited deep hole in-situ stress measurements to determine overall stress design parameters for deep underground engineering is inadequate. A comprehensive study of the three-dimensional in-situ stress field is necessary to reveal its spatial distribution characteristics. Different in-situ stress design parameters should be used for different positions of the deep-buried underground project to avoid engineering waste or engineering damages caused by large or small in-situ stress design parameters. In the strong tectonic activity area, the disk core density is inversely proportional to the measured magnitude of the in-situ stress, and the depth range that has yet to form in the cake-shaped core often has the highest in-situ stress and the most concentrated stress, and the deep underground engineering should avoid this depth range. While a major earthquake or major engineering geological problem occurs, real-time monitoring of in-situ stress can dynamically reveal the relative change trend and evolution process of the in-situ stress magnitude of a specific structural site. It can calculate the absolute value of the in-situ stress state in different time domains during the real-time monitoring period without carrying out new absolute in-situ stress measurements. Regional crust stability and deep-buried engineering geological safety risks can be quickly evaluated, and quantitative in-situ stress design parameters and the stress-strain reserved threshold for preventing deformation and breaking can be provided for the damage repair of deep-buried engineering and the risk of fault activity can also be assessed. The research results will offer geological security for the planning, construction, and safe operation and maintenance of major projects in strong tectonic activity areas.

This study aims to solve the significant deformation issue in the soft surrounding rocks under high in-situ stress encountered during the construction of the Muzhailing Tunnel on the Weiyuan–Wudu Expressway. We established a three-dimensional geological model to invert the in-situ stress field using ANSYS based on measured in-situ stress data in the engineering area. Then, we calculated and analyzed the deformation of the surrounding rocks by combining the inverted results with the Hoek deformation prediction formula. The result showed that the in-situ stress field in the engineering area was primarily controlled by faults, with secondary influences from rock strength and topography. In the intense tectonic deformation zone, horizontal principal stress values are generally lower than in the weak structural deformation zone. The relationship between the three principal stresses along the tunnel axis is SH>Sh>SV. The maximum horizontal principal stress in the intense tectonic deformation zone was the highest in the G8 section and the lowest in the G6 and G11 sections. In the weak structural deformation zone, horizontal principal stress gradually increases from the G12 section until it decreases due to reduced burial depth starting from the middle of the G14 section. The maximum horizontal principal stress orientation was generally in the NE direction, and the extruded structural belt between the faults was mostly deflected to the NEE –nearly EW direction. The deformation of the surrounding rocks was affected by rock mass strength and in-situ stress field, with rock mass strength playing a dominant role. The deformation of the surrounding rocks is mainly concentrated in the range of 20 to 80 cm, and the deformation levels are mainly moderate and intense.

To explore the mechanism of overyielding, improvement of land productivity and water use of maize/soybean intercropping, and optimize the configuration of the intercrop in semi-arid western Liaoning, a 2-year (2018-2019) field experiment was conducted at the National Agricultural Environmental Station for Agricultural Environment at Fuxin. The effects of maize-soybean intercropping on yield, land productivity, spatial distribution of soil water content and water use efficiency were studied. Cropping systems were, (1) 2 rows of maize: 2 rows of soybean (M2S2), (2) 4 rows of maize: 4 rows of soybean (M4S4), (3) 6 rows of maize: 6 rows of soybean (M6S6), (4) sole maize (M) and (5) sole soybean (S). The total yields of the 5 cropping systems were M>M6S6>M4S4> M2S2>S. In intercrops, the contribution of maize for total crop yield was greater than soybean, with 79.0%-87.3% of the contribution rates for intercropped maize, and 12.7%-21.0% for intercropped soybean. The land equivalent ratios (LER) of M6S6 and M4S4 were 1.13-1.19 and 1.06-1.07, respectively, indicating a yield advantage of the intercrop, among which M6S6 showed the highest land productivity. The LER of M2S2 was less than 1, indicating a yield disadvantage. The spatial distribution of soil moisture showed that there was water competition between maize and soybean in 0-50cm soil layer, and was water complementarity between maize and soybean in 60-100cm soil layer in intercrops. On the same land area, all the intercrops improved water use efficiency of maize. M2S2 and M4S4 decreased the water use efficiency of soybean. The water equivalent ratio (WER) of M6S6 and M4S4 were 1.18-1.21 and 1.05-1.06, respectively, indicating the water productivity was increased by 5%-21%. Both of M2S2 and M4S4 had water use advantages, and M6S6 showed the highest water use advantage. The WER of M2S2 was 0.99-1.01, indicating a not significant water use advantage (P>0.05). Overall, M6S6 showed the most significant yield and water use advantage, and would provide opportunity for sustainable agriculture in semi-arid western Liaoning. [ABSTRACT FROM AUTHOR]

Objective The stability of underground chambers such as mine tunnels and transportation tunnels is closely related to the stress environment of the surrounding rock mass and the geological conditions of the area. Analyzing the relationship between deep-seated stress and factors such as the orientation and shape of underground chambers can help to proactively mitigate the risks associated with chamber excavation. Methods This study, set against the background of the rock burst accident on October 20th in the Longyun Coal Industry area in Shandong, reveals the current stress environment of the shallow crustal layers in western Shandong through in-situ stress measurement and monitoring work. Results According to the characteristics of the current ground stress field near the Longyun coal mining area, the study investigates the regional stress background that led to the rock burst accident and proposes corresponding prevention and control suggestions from the perspective of ground stress. The results indicate that the magnitude of the principal stress generally increases linearly with depth within the measurement range, with the maximum horizontal principal stress ranging from 3.48 to 20.76 MPa and a gradient of 0.0182 MPa/m with increasing depth, while the minimum horizontal principal stress ranges from 3.44 to 14.95 MPa with a gradient of 0.0130 MPa/m. The maximum horizontal principal stress azimuth in the area ranges from NE 43°to 89°, with an average azimuth of NE 75°. The tectonic action in the shallow crust is mainly horizontal, but with increasing depth, they gradually transition to vertical. Conclusion The triggering mechanism of the rock burst accident in the Longyun Coal Industry area on 20th October is primarily attributed to the vertical stress exceeding the horizontal principal stress, indicating a current extensional stress environment, especially when the tunnel orientation is parallel to the direction of maximum horizontal principal stress. It is suggested that the angle between the tunnel axis and the direction of maximum horizontal principal stress in the Longyun Coal Industry area should be between 60° and 90°, and that the tunnel roof can be designed as an arch-shaped roof to ensure the stability of the tunnel rock mass.

The Shunyi fault in the Beijing Plain region is a significant late Pleistocene active fault. The Beijing Capital International Airport (BCIA) is situated within the central segment of the Shunyi Fault. Since 2010, ground fissures on the airport's runway have progressively worsened, with a maximum vertical displacement difference of up to 20 cm, severely affecting airport safety. Presently, the impact of Shunyi fault activity on the ground fissures at the BCIA is primarily described qualitatively. This paper, based on research regarding the geometric structure of the Shunyi Fault, Quaternary activity, and investigations of the ground fissures at the Capital Airport, employs the fault dislocation model to quantitatively analyze the influence of the Shunyi Fault's creep-sliding activity as well as the 1996 Shunyi ML 4.5 earthquake on the formation of airport ground fissures. The study also discusses the increasing risk of ground fissure hazards in the event of a potential strong earthquake along the Shunyi fault in the future. The preliminary results suggest that with a vertical activity rate of 0.6 mm/year, 46 years of Shunyi Fault's creep-sliding activity results in differential subsidence of no more than 2.5 cm on both sides of the airport ground fissures, contributing to approximately 20% of the formation and development of these fissures. The impact of the Shunyi ML 4.5 earthquake on the formation of airport ground fissures is minimal. However, if a future M 7.0 earthquake occurs on the Shunyi fault, the estimated maximum land differential subsidence between two sides of the fault could reach 104 cm, increasing the risk of airport ground fissure disasters by a factor of five. Ground differential settlement due to groundwater extraction from the upper and deeper layers of the Shunyi fault's hanging wall contributes about 70% to the formation and development of airport ground fissures, remaining the primary factor. The study's results provide essential scientific references for precise prevention and control of ground fissure disasters at BCIA. Furthermore, to further reveal the causes and mechanisms of delayed geological disasters along the Shunyi fault, such as ground fissures and land differential subsidence, it is recommended to implement dynamic monitoring of cross-fault crustal displacement or deformation at crucial segments.

The steady and continued rise in medical-related disputes and lawsuits is one indicator of the myriad risks and challenges faced in today's nursing practice. When nurses become defendants, the lengthy litigation process and pressures that ensue greatly impact their professional and personal lives. Nursing practice dispute categories marked by particularly high severity and frequency over the past ten years include: (1) Failure to operate according to standard procedures, (2) Insufficient nursing sensitivity and negligent care, (3) Failure to communicate and deal with issues promptly and appropriately, (4) Beyond the scope of nursing practice, and (5) Falsification or alteration of nursing records. In this paper, the important duties of care in four major nursing practices are first summarized based on the relevant legal risks. Next, based on this, risk management procedures are prioritized, evidence-oriented nursing routine standards are set, and systematic analysis and management are conducted. In addition, to strengthen the legal awareness of nurses, nursing staffs, supervisors, and institutions must all understand clearly the three types of civil and criminal legal liabilities and their respective administrative responsibilities. Nurses should proactively work to handle the related legal risks and avoid the unpleasant consequences of civil liability in the realms of compensation, criminal punishment for negligent injury and homicide, and administrative disciplinary action. [ABSTRACT FROM AUTHOR]

Recently, water injection-induced earthquakes caused by faulting instability have become a prominent geological safety issue for safely exploiting deep geothermal resources. This study investigates whether the future large-scale development of deep geothermal resources in the Gaoyang uplift will destabilize buried faults. There has a great amount of karst thermal reservoir in the Gaoyang low uplift, Hebei province. To find out whether the large-scale deep geothermal exploitation in the future will induce faults distributed in and around Gaoyang geothermal reservoir to become unstable, firstly, we calculate the initial stable state of the main buried faults based on Mohr-Coulomb criteria using the comprehensive in-situ stress field of North China; then, under Hsieh and Bredehoeft hydrological model, we calculate the possible excess pore pressure caused by water injection for 10~40 years at representative geothermal wells; subsequently, combing this perturbation with the initial stable state, we obtain the fault slip potential of the main buried faults from 2022 to 2062 based on a probabilistic approach; ultimately, we discuss the impact on the changes of fault slip potential due to varying angles between the maximum horizontal principal stress and the fault orientation. The main conclusions of this work can be drawn as follows. With the injection rate of 170 m3/h, the maximum excess pore pressure caused by a single geothermal well does not surpass 11 MPa, and it obeys a power decrease distribution with increasing distance from the center of the injection well; its influence scope is no more than 8 km. Continuous water injection strongly changes the stability of those buried faults distributed 2 km within the geothermal wells, and fault-slip potentials of some segmental faults even exceed 85%, corresponding to high unstable risk. Under 50 years of water injection at an injection well, the fault-slip potential of faults with different strikes within 2 km from the injection well increases rapidly with the declining angle among its orientation and the regional maximum horizontal principal stress. This paper's study methodology and associated findings can offer geoscientific justification for the safe exploration and exploitation of deep geothermal resources domestically and internationally. This study can provide a method reference for the location of injection wells and the selection of faults in different orientations in geothermal fields at home and abroad, thus promoting the safe and efficient development and utilization of geothermal resources.

Recently,knowledge base(KB) has been widely adopted to the task of question answering(QA) to provide a proper answer for a given question,known as the KBQA problem.However,knowledge base itself may be incomplete(e.g.KB does not contain the answer to the question,or some of the entities and relationships in the question),limiting the overall performance of existing KBQA models.To resolve this issue,this paper proposes a new model to leverage textual documents for KBQA task by providing additional answers to enhance knowledge base coverage and background information to enhance the representation of questions.Specifically,the proposed model consists of three modules,namely entity and question representation module,document and enhanced-question representation module and answer prediction module.The first module aims to learn the representations of entities from the retrieved subgraph of knowledge base.Then,the question representation can be updated with the fusion of seed entities.The second module attempts to learn a proper representation of the document that is relevant to the given question.Then,the question representation can be further improved by fusing the document information.Finally,the last module makes an answer prediction based on the information of knowledge base,updated question and documents.Extensive experiments are conducted on the WebQuestionsSP dataset,and the results show that better accuracy can be obtained in comparison with other counterparts.