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The research background of the paper is that the Genshin Impact has become very famous in recent years. The game made $4 billion in revenue in just two years after its launch. The game’s worldwide popularity has attracted a lot of attention. Thus, this paper wants to find out the producer uses which kind of methods to attract such many players and gain a large amount of profit. The paper uses a literature review and case analysis as research methods. By using these two methods to research, this paper finds that the producer of the game Genshin Impact uses lots of market strategies to attract players. Also, this research wants to explore how the game Genshin Impact successfully integrates traditional Chinese culture and promotes traditional Chinese culture to overseas players. The conclusion is producer of Genshin Impact uses different market strategies to attract players and help promote traditional Chinese culture to overseas people.

The challenge for future nuclear fuel management research is to deal with the problems caused by the high nuclear fuel burnup, high power factor, and high enrichment of fuel assemblies. On the other hand, the increasingly strict license safety review of design methods and design limits also place ever more demanding requirements. This makes the traditional lowdimensional analysis method that introduces too conservative assumptions seem inadequate. Therefore, it is necessary to develop a new three-dimensional method so that all global and local parameters of the nuclear steam supply system (NSSS) can be coupled in the simulation of the accident transient, including neutrons parameters, thermal hydraulic and system parameters of primary and secondary loop, etc. As an essential physical and thermal part of the numerical reactor, a three-dimensional coupling analysis code was developed. Through the dynamic link library technology and based on the independently developed system thermal hydraulic code GINKGO and three-dimensional core code COCO, coupling code GINKGO/COCO was developed. The coupling code is verificated by benchmark TMI-MSLB exercise 2. By comparing the parameters of steady-state core parameters, transient power and reactivity, the results show that the coupled calculation model of the developed code is correct, and the calculation has good accuracy and reliability. In this paper, three dimension of the rod drop accidents were analyzed by coupling code. Based on the developed GINKGO/COCO coupling code, the effect of two sets of rod drop calculation on the core power distribution of the control rod group was studied, and the stable power of the two sets of rod drop after the automatic adjustment of the R rod was compared and analyzed. Through the numerical analysis, it can be observed that the noncenter symmetric rod groups drop accident will lead to the core power center asymmetry, and the center asymmetric rod group will lead to the core power center asymmetry, which makes the core outlet loop temperature different. The rod drop value of R rod group is small, but the adjustment range of R rod group is large. The larger reactivity value of the rod drop is, the larger the steady-state power recovery after adjustment is compared with the initial steadystate difference. The variation trend of DNBR calculated by W3 coorelation formula in the rod drop accident example shows that the opposite law with the power, and the local fine DNBR calculation can be carried out in the future combined with the more fine sub-channel coupling analysis.

This study takes Changsha, an emerging mega-city in China, as a sample to analyze the influence of natural amenity (NA) on housing prices during different periods. We divided the NA into four categories according to their characteristics: Green Space (GS), Wetland Park (WP), XiangRiver Scenic Belt (XR), and green ratio within a community. The housing transaction data is used to calculate the accessibility of a settlement to nearest NA via the distance. The capitalization effect of NA is investigated through a geographic weighted regression (GWR), combined with the hedonic theory. Results show that ①the impact and scope of NA on housing prices gradually expanded during years. ②As the key nature landscape of Changsha, the impact coefficient of XR has risen from 2.34% in 2012 to 5.32% in 2020. WP has a remarkable increase for affecting housing prices, rising from 1.24 to 3.65%. Effect of GS keeps in line during years, at 2.34–3.72%. And green ratio’s impact increase from 3.61 to 4.55%. ③The higher capitalization effect of NA undergoes a spatial expansion from the central area to urban fringe over time, which also implies the capitalization of NA is becoming more pronounced. ④Residential communities impacted by NA have a propensity to separate over time. This study provides a different perspective in defining the importance of natural amenities in urban habitat of modern China.

Urban nature spaces are increasingly recognized as essential urban features providing crucial amenities to the residents’ health and well-being. While many studies have been conducted focusing on the influence of green spaces on house prices, very few have explored the impact of urban blue spaces. In this study, we analyzed the proximity effects of different types and sizes of urban blue spaces on property value in Changsha metropolis, China, and examined the spatial quantile effect across different housing prices. A two-stage instrumental method (2SLS) hedonic model was employed to evaluate the impact of different types of urban blue space: river (mainstream and tributary), wetland park, and lakes (large, medium, and small). Spatial quantile regression (SQR) was then used to measure the spatial effect of accessibility on various house price ranges. The 2SLS results show that, except for small-sized lakes, proximity to blue spaces significantly increases property value. Analysis of the SQR model reveals that proximity to major blue spaces increases the marginal willingness-to-pay among homebuyers of high-priced properties, while ordinary blue spaces are more attractive to buyers of low- and medium-priced houses. This may be broadly related to the level of education, utility, and sensitivity to ecosystem services across income groups. Based on these findings, we recommend that urban planners adopt different strategies to promote space utilization efficiency. This is one of the few studies that analyze the capitalization of blue space accessibility in house prices across different quantiles. By categorizing blue spaces and employing the SQR model, this study found the effect of blue spaces on housing prices to be heterogeneous, providing new perspectives to the existing literature.

Herein, well‐crystallized ZnTiO3 particles are first prepared by hydrothermal method. A series of S‐scheme heterojunction photocatalysts of ZnTiO3/g‐C3N4 (referred to as ZTO/CN) with different mass ratios are synthesized by successfully doping ZnTiO3 in g‐C3N4 precursors and loading ZnTiO3 onto g‐C3N4 nanosheets by calcination. It is clearly found that the ZnTiO3 particles are successfully loaded on g‐C3N4 nanosheets by the X‐ray diffractometer, energy‐dispersive X‐ray spectra, and high‐resolution transmission electron microscopy images. Moreover, the specific surface area of 3.0% ZTO/CN is higher than that of pure g‐C3N4. Using triethanolamine as the hole sacrificial agent, the highest CO and H2 yields are achieved in the 3.0% ZTO/CN composite catalyst under the xenon lamp irradiation for 1 h. The generation rates of CO and H2 reach 15.19 and 5.77 μmol g−1 h−1, respectively, which are 2.9 and 4.1 times higher than that of pure g‐C3N4. The CO and H2 yields of the ZTO/CN composite catalyst show a trend of increasing and then decreasing with the increasing of ZnTiO3 content, which is due to the fact that excess ZnTiO3 can lead to a reduction of the effective heterojunction interface between ZnTiO3 and g‐C3N4, decreasing the transfer and separation efficiency of photogenerated electrons and holes and thus reducing the photocatalytic activity. [ABSTRACT FROM AUTHOR]

We investigate the robust chance constrained optimization problem (RCCOP), which is a combination of the distributionally robust optimization (DRO) and the chance constraint (CC). The RCCOP plays an important role in modeling uncertain parameters within a decision-making framework. The chance constraint, which is equivalent to a constraint of Value-at-risk (VaR), is approximated by risk measures such as Entropic Value-at-risk (EVaR) or Conditional Value-at-risk (CVaR) due to its difficulty to be evaluated. An excellent approximation requires both tractability and non-conservativeness. In addition, the DRO assumes that we know partial information about the distribution of uncertain parameters instead of their known true underlying probability distribution. In this article, we develop a novel approximation EVaR- PC based on EVaR for CC. Then, we evaluate the proposed approximation EVaR- PC using a discrepancy-based ambiguity set with the wasserstein distance. From a theoretical perspective, the EVaR- PC is less conservative than EVaR and the wasserstein distance possesses many good theoretical properties; from a practical perspective, the discrepancy-based ambiguity set can make full use of the data to estimate the nominal distribution and reduce the sensitivity of decisions to priori knowledges. To show the advantages of our method, we show its application in portfolio management in detail and give the relevant experimental results. [ABSTRACT FROM AUTHOR]

In order to solve the problem of environmental health hazards caused by phthalate esters, a series of pure Bi2O2CO3 and light (La, Ce, Pr, Nd, Sm and Eu) and heavy (Gd, Tb, Dy, Ho, Er, Tm, Yb and Lu) rare earth-doped Bi2O2CO3 samples were prepared by hydrothermal method. The crystalline phase composition and physical structure of the samples calcined at 300 °C were studied, and we found that the rare earth ion doping promoted the transformation of Bi2O2CO3 to β-Bi2O3 crystalline phase, thus obtaining a mixed crystal phase photocatalyst constituted by rare earth-ion-doped Bi2O2CO3/β-Bi2O3. The Bi2O3/Bi2O2CO3 heterostructure had a lower band gap and more efficient charge transfer. The fabricated samples were applied to the photocatalytic degradation of dimethyl phthalate (DMP) under a 300 W tungsten lamp, and it was found that the rare earth ion doping enhanced the photocatalytic degradation activity of DMP, in which the heavy rare earth of Er-doped sample reached 78% degradation for DMP at 150 min of light illumination. In addition, the doping of rare earths resulted in a larger specific surface area and a stronger absorption of visible light. At the same time, the formation of Bi2O2CO3/β-Bi2O3 heterogeneous junction enhanced the separation efficiency of photogenerated electrons and holes. [ABSTRACT FROM AUTHOR]