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In the present market, there are various kinds of financial products and derivatives designed for customers, the most basic and universal of which are stocks. However, while understanding how much profit and risk that one stock can bring is relatively simple, it is more difficult and trickier to find out a suitable investment portfolio for customers, especially under particular circumstances. Therefore, this paper try to build a model to figure out the portfolio with the highest utility in the crown virus background. The utility is defined based on several theories on customers’ behavior and takes many other factors that may play a crucial role on the extent of customer satisfaction into consideration. To simplify the model and focus on significant financial products, this article comes up with several necessary implications. After numerical computation, the result, a stock portfolio with the highest utility function for a given condition, is presented as an example to show how our model works. Finally, the paper analyzes the result obtained, provides a brief discussion on the pros and cons of our model, and eventually lists our possible future research fields.

Environmental Specimen Banks (ESBs) are facilities that archive samples from the environment for future researching and monitoring purposes. In addition, the long-term preservation of representative specimens is an important complement to environmental studies and monitoring practice. This article presented detailed information about ESBs in the world, and reviewed the history and current status of ESBs in China. Besides, crucialshould leave 8 mm of space above the abstract and 10 mm after the abstract.

This paper explores the integration of data within digital twin-driven multiscale manufacturing systems, examining the core characteristics of data flows in digital twin (DT) environments tailored to manufacturing. In DT frameworks, data are inherently bidirectional, automated, and real-time, which are critical for maintaining the operational integrity of interconnected manufacturing subsystems. Different scales (from machine tool focus to supply chains) and timelines (from operations events to long term planning) make manufacturing system operation complex. This in turn means data integration across these scales and timelines is inherently complex. This study focuses on the dynamics of data flows in DT-driven manufacturing systems that support both forward and backward communication across DT modules and the central DT platform. The overall DT data scheme manages the supervision and cataloging of actions, which includes technical data related to machinery, processes, resources, and rules, alongside performance metrics across various scales and levels over time. A case study of a DT-driven manufacturing unit illustrates the data flow and interdependency in DT data framework. It highlights how data integration across multiple manufacturing stages can improve operational efficiency, fault diagnosis, and resource optimisation. This study lays the groundwork for the implementation of DT in complex, multiscale manufacturing systems by providing an extendible structured framework.

Coal water slurry is an advanced and efficient coal utilization technology, prepare coal water slurry by gasification wastewater can realize the recycling of wastewater and improve the combustion or gasification efficiency of the slurry. Stabilizer is an important component to ensure fluidity and stability in industrial applications of coal water slurry, and the complex substances in wastewater for coal water slurry preparation have a great influence on the stabilizer. Therefore, in this paper, the influence of the major substances in gasification wastewater on the stabilizer is studied. Results show that (a) Ammonia nitrogen substances have adverse effects on stabilizers, because the ionized NH4+ in the solution will bond with the polar groups on the stabilizer, which will affect the stabilizer to lose its effectiveness and reduce the stability of the slurry. (b) Small organic molecules have little effect on stabilizers, this is because the binding strength and quantity of stabilizer to water molecules is much larger than that of organic matters such as phenolic substances. (c) Highvalent metal ions have a greater impact on stabilizers, the metal ions easily form gels or precipitates with the stabilizer, causing it to lose its effectiveness, and also have an electrostatic effect with the carboxyl group on the side chain of the stabilizer, which makes the stabilizer easy to aggregate together and lose the steric hindrance effect, finally cause the stability of the slurry reduced. The conclusion of the influence of substances in wastewater on stabilizer can provide a technical reference for the selection of suitable wastewater and stabilizer to prepare coal water slurry, then promoting the efficient use of energy.

In order to actualize moral and collaborative education, the reform of ideological and political aspects within professional courses becomes imperative. This paper explicates the necessity of instigating ideological and political education due to the singular nature of traditional teaching in the ‘Industrial Robot Programming and Operation’ course and its lack of emphasis on ideological and political elements. It extensively explores the embedding of ideological and political components within the course. By amplifying teachers’ awareness of ideological and political principles, refining the course’s training objectives, diversifying teaching methodologies, and enhancing the course evaluation mechanism, we implement specific practices that integrate ideology and politics into the course. The aim is to cultivate highly proficient technical and skilled individuals.

The examination of ideology and political aspects within the realm of Industrial Robot Technology’s development through the lens of the “Trinity” perspective has been a primary focus. Commencing with the challenges evident in establishing ideological and political frameworks within contemporary higher education, this discourse delves into strategies for seamlessly incorporating ideological and political education into the domain of professional and technical instruction. This aims at attaining the overarching teaching objective of the “trinity” and fostering the convergence of nurturing individuals and cultivating skillsets. This approach offers instructive direction for civic education embedded within technical disciplines like Industrial Robot Technology. Furthermore, it presents both theoretical underpinnings and practical insights to guide educational transformations within higher education’s domain.

Since many companies choose to publish digital video advertisements with creative features on the Internet to promote new products. This study aims to examine the impact of the number of creative strategies (NCS) in adverting messages on consumer review valence and explore whether this impact varies by new product type (incrementally new products vs. really new products). Based on the method of content analysis and empirical analysis on 564 digital video advertisements published by six world-renowned electronic product brands from 2018 to 2019 on YouTube, this study draws three main conclusions: (1) whether new products belong to incremental new products (INPs) or really new products (RNPs), there is an inverted U-shaped relationship between NCS and consumer review valence; (2) the inflection point of NCS (INP) is greater than the inflection point of NCS (RNP) and (3) the maximum value of consumer response for INP is greater than that for RNP. This study not only provides a new theoretical perspective for NCS, but also contributes valuable guiding principles for designing the effective advertising creative strategies for new products.

Because of a high moisture content and a low heating value of Chinese municipal solid waste (MSW), circulating fluidized bed (CFB) incinerators have been widely adopted in China for incinerating MSW since 1998. In this study, two typical CFB incineration plants (A and B) were investigated for contents and fingerprints of PCDD/F and PCB at different positions downstream their post-combustion zone, aiming to draw a full picture of formation and distribution of these organochlorinated pollutants. Both flue gas and ashes were sampled at five different positions of Plant A, from high-temperature superheater to outlet of baghouse filter, representing a huge range of flue gas temperatures; for Plant B, five ash samples were collected at different positions of the waste heat boiler (from high-temperature superheater to lower economizer). A continuous increase in contents of PCDD/F and PCB in flue gas was observed from superheater to inlet of air pollution control system (APCS) in Plant A, with the most significant rise noticed at air preheater. The load of PCDD/F and dioxin-like PCB in ashes also amplified steadily along the cooling path of flue gas in both plants. Changes in formation pathways are discussed based on homologue and isomer distribution patterns.

This paper explores the time-varying nature of the continuous development of education and employment from 1993-2021, completes the measurement of education integrated scale and education integrated talent indicators using the entropy power method, constructs a TVP-VAR model, and completes the investigation of the dynamic relationship between changes in education development and changes in employment growth using equally spaced impulse responses and time-point impulse responses. It is found that: there are different degrees of positive and negative impact fluctuations of the change in increase in education expenditure, the change in increase in education integrated scale and the change in increase in the number of education integrated talents on the change in employment growth, and overall the change in increase in education expenditure, the change in increase in education integrated scale and the change in the number of education integrated talents positively affect the change in employment growth under medium-term shocks. Based on the results of the study, this paper puts forward relevant suggestions for further promoting the positive impact of continuous development of education on employment growth.

The first photobioreactors were born in the 1950s, and photobioreactors based on microalgae have potential applications in the pharmaceutical industry, food and feed production, environmental engineering, wastewater treatment, and renewable energy. Photobioreactors were first used in pollutant treatment for carbon dioxide sequestration in 1953 at the Carnegie Institute in Washington. Photobioreactors use stable and efficient algae cultivation technology to create an artificial environment that provides all necessary conditions for algae growth such as (light, temperature, nutrients), and these conditions can be controlled and monitored, especially for microalgae cultivation, It is convenient for the rapid, stable and controllable growth of microalgae. Currently, there are many types of microalgae-based photobioreactors in terms of configuration, fabrication materials, and operating modes. It can optimize biomass production, improve the efficiency of pollutant removal, reduce cost and improve space advantage. The most common structures for photobioreactors are flat, columnar and tubular, followed by hoses and hybrid photobioreactors, taking their flexibility and efficacy to a higher level. Each photobioreactor type has its own advantages and disadvantages in terms of operation, biomass production, pollutant removal efficiency, and level of upgrade.

Based on the randomness and ambiguity characteristics of the river water environment system, as well as the lack and inaccuracy of data information, the water environment system parameters are defined as triangular fuzzy numbers. On this basis, by fuzzing the parameters of the conventional deterministic model, a fuzzy model for calculating river water environmental capacity is established. According to this model, the river water environment capacity in the form of triangular fuzzy numbers can be calculated. According to the requirements of a given level of credibility, the water environment capacity can be further converted from triangular fuzzy numbers to interval values. Research shows that compared with conventional deterministic methods, the results obtained are more scientific and reasonable

In view of resolution of optical fiber Fabry-Perot (FP) interference sensor, this paper analyses and researches high resolution demodulation algorithms including fast Fourier transform demodulation algorithm, cross-correlation calculation demodulation algorithm, vernier demodulation algorithm. Through continuous improvement, the vernier demodulation algorithm has achieved a resolution of 0.084nm. And it has a resolution of 2.3Pa when the vernier demodulation algorithm was applied to osmotic pressure measurement.

In order to improve the restoration effect of soils in mining wasteland, based on site investigations for the mining wasteland, five different vegetation restoration models are used for soil restoration, and study on effect mechanism of different vegetation restoration models on physical and chemical properties as well as activity of enzyme in soil are conducted, providing a solid theoretical basis for guiding the subsequent management of the soil in the mining area.

In order to test the prediction effect of big data technology on regional economy, this paper uses Engle-Granger test to explore the relationship between house prices in Xiangyang City and big data represented by search index. This paper selects the house price data from April 2015 to February 2020, and uses the Baidu Index with a correlation coefficient greater than 0.5 to build a search index, so as to test it empirically. The empirical results show that big data has a strong prediction for house prices in small and medium-sized cities, and the search index constructed by the weight of correlation coefficient is better.

In recent years, China’s economy has developed rapidly and the people’s material living standards have continued to improve, but environmental problems have gradually become apparent, which seriously threatens people’s daily lives and production. Therefore, the state is actively constructing industrial pollution control projects, hoping to improve China’s environmental pollution status and achieve green development. Based on data from 31 provinces in China in 2017, this paper finds that the construction of wastewater treatment projects significantly reduces wastewater discharge and has a significant effect on improving water pollution; while the construction of waste gas treatment projects does not significantly improve the status of air pollution. Further research found that coal Consumption has significantly increased the level of air pollution and weakened the role of waste gas treatment projects. At the same time, investment in technological innovation has significantly improved the state of environmental pollution.

In the process of industrialization and urbanization, human activities have caused more and more heavy metal lead to enter the surface soil, causing harm to the health of residents. Analysis of the status of lead pollution in urban surface soils in China found that lead pollution in most cities currently exceeds regional background values. The sources of heavy metals in cities mainly include transportation, industrial emissions, and human activities. At present, the methods for determining sources include three methods: multivariate statistical analysis, geographic information systems, and isotope tracing.

According to the current situation of water quality in drainage basin, the key to improve the prediction accuracy is to select the appropriate prediction model of water quality. The time series method excellently reflected the continuity of the future data in the case of emphasizing historical data. What’s more, the time series method has the higher short-term prediction accuracy and simple modeling process. So, the time series method was used to establish the Auto-Regressive and Moving Average (ARMA) model for the time series of the concentration of dissolved oxygen (DO), biochemical oxygen demand (BOD5), chemical oxygen demand (CODCr), ammonia nitrogen (NH3-N) and total nitrogen (TN) at the Guidu fu section of Qingyi River from January 2011 to December 2015. Then, the concentrations of the five water quality indicators from January to June 2016 were predicted, which were verified and analyzed with the measured values. The results show that the model has fine fitting effect and higher prediction accuracy, which can accurately reflect the current and future change trends of the water quality.

The emergency and significance of the development and construction of sponge cities have become a national issue, and it is urgent to deal with irrational problems and disorganization emerged in the construction of sponge city. Due to the complexity of constructing sponge cities, the macroscopic town planning should be put in the first place, and controlling objects are made in accordance with cities’ different characteristics. Then details in technologies in building sponge cities should be organize.

Gliding flight is a common mode of flight for dragonfly, the objective of the current research is to use numerical simulations to explore whether the corrugations have positive effect on aerodynamic performance of the dragonfly wings in gliding flight. In order to compare aerodynamic performance of the dragonfly wing and flat plate, a three-dimensional model of the dragonfly forewing and a three-dimensional flat plate with the same shape of the dragonfly forewing are established. The flow fields around three-dimensional dragonfly forewing and flat plate are simulated for Re=10000 and angles of attack changing from 0° to 25°(with an interval of 5°), numerical simulation indicate that aerodynamic performance of the dragonfly wing is slightly better than the flat plate over the entire range of parameters tested, especially the effect of the corrugateions on the flow is more evident at large angle of attack.

The objective of this paper is to investigate the impact loads on the occupants’ head, neck, and spine under the protection of an inversion tube energy absorber during a helicopter crash landing. Due to the high vertical acceleration, the head, neck and spine are the most vulnerable parts of a body, so that an energy absorber is needed to dissipate the kinetic energy of the occupant and the seat to minimize the impact loads. In this paper, an inversion tube was adopted as an energy-absorbing device. The occupant injury conditions were evaluated by a numerical simulation. The result indicates that the impact loads on occupant’s head, neck and spine are below the regulated thresholds under the protection of the energy absorber when the helicopter crash at a speed of 12.81m/s in vertical direction. As a consequence, the design of the occupant protection system has been proven reliable.

To the problem that safety distance is insufficient for 500 kV substation live working, a magnetic field analysis method for overhead line bus is given based on the charge simulation method. In the method, charge is calculated firstly, and the space field intensity distribution calculation is completed by overlying charge. The space field intensity distribution rule is carried out based on the appropriate analysis, and space field intensity distribution rule of substation is obtained. Then according to the calculation formula of inducing current, the human body induction current under a substation busbar is simulated based on MATLAB. The simulation results have a certain guidance function for actual live working.