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The “Just Accepted” manuscripts have gone through the peer-review processes and been accepted for publication. The “Just Accepted” manuscripts are uploaded to the JUSTC website after being polished in a timely fashion, prior to technical editing and formatting as well as author proofing. “Just Accepted” is a free service that allows authors to make their results immediately available to the research community upon the acceptance of their manuscripts. Once the manuscripts have been technically edited and formatted, they will be transferred to the “ASAP Articles” website from the “Just Accepted” website. Please be advised that technical editing and formatting may introduce minor changes to the manuscripts which may affect their contents, and all legal disclaimers that apply to JUSTC pertain. In no event shall JUSTC be held responsible for errors or consequences arising from the use of any information contained in the “Just Accepted” manuscripts. To cite the “Just Accepted” manuscripts, please use their Digital Object Identifiers (e.g., doi: 10.52396/JUSTC-202x-0xxx), which remain identical for all formats of their publication.
Display Method:
Effect of tantalum doping on the microstructure and photoelectrical properties of transparent conductive zinc oxide films
Kai Yi, Hongxu Jiang, Yanbo Cai, Guangwei Wang, Fei Liu, Deliang Wang
, Available online  , doi: 10.52396/JUSTC-2024-0006
Article Views:132 HTML (132) Full article PDF
Abstract:
ZnO thin films with varying Ta concentrations were fabricated through magnetron sputtering. The crystallinity and surface morphology of the ZnO films are significantly influenced by the incorporation of Ta, as evidenced by the X-ray diffraction and scanning electron microscopy results. The lattice constants, as determined by X-ray diffraction, contradict the disparity in Ta and Zn ion radii, which is attributed to the impact of interstitial defects. This inconsistency introduces variations in carrier concentration in this experiment compared with prior studies. Subsequent exploration of the luminescent characteristics and emission mechanism of defect levels in Ta-doped ZnO films was conducted through photoluminescence. Furthermore, the factors influencing the bandgap are discussed.
An integrated theoretical framework based on the SOMR model
Shengliang Zhang, Jianhui Jin, Xiaodong Li
, Available online  , doi: 10.52396/JUSTC-2022-0120
Article Views:103 HTML (103) Full article PDF
Abstract:
Advertising avoidance is resistance to advertising intrusion. This issue has been the subject of much academic research in recent years. To guide future scholars to better carry out relevant research and promote enterprises to better implement advertising activities, this study intends to summarize the relevant research on advertising avoidance in recent years. The specific method is to use the core literature meta-analysis method to identify, filter and screen relevant literature published in core journals from 1997 to 2020 with the keywords advertising avoidance and advertising resistance. We review the collected articles from the perspectives of external stimulating factors of advertising avoidance, internal perception factors of advertising avoidance, and moderating factors of advertising avoidance. On this basis, the SOMR model of advertising avoidance is constructed according to the SOR model. Finally, some prospects for future related research are given.
The effects of low-velocity layer and basin topography in near-field ground motion amplification
Zeyu Lu, Jian Wen, Feng Hu
, Available online  , doi: 10.52396/JUSTC-2023-0156
Article Views:211 HTML (211) Full article PDF
Abstract:
Near-field ground motion amplification at sedimentary basins is widely observed and crucial to the earthquake hazard assessment. However, the effect of basin topography coupling with the low-velocity layer (LVL) in the ground motion amplification is yet to be fully understood. By constructing 3D basin models with surrounding mountain terrains and performing ground motion simulations, we compare the ground motion characteristics with different basin LVL depths and LVL velocities. The velocity contrast between LVL and bedrock controls the amplification magnitude. The maximum amplification area in the model changes from the central part to the periphery part of the basin with the velocity contrast decreasing and can be greatly influenced by the distance between the source and the basin. Amplification also spreads along the mountain edge circling the basin. Our work sheds light on the distribution of amplification within sedimentary basins surrounded by mountains, revealing that the velocity contrast between the LVL and bedrock plays a pivotal role in controlling the magnitude of amplification.
The in-depth transmission and reception process of the factors influencing review helpfulness from the signaling timeline perspective
Mohan Wang, Fei Wan, Jiaying Zhang, Songyun Xia
, Available online  , doi: 10.52396/JUSTC-2023-0113
Article Views:135 HTML (135) Full article PDF
Abstract:
Many existing studies have considered the factors influencing review helpfulness, mainly focusing on reviewer impact, review informativeness, and managerial response, based on signaling theory. However, previous studies have simply regarded these factors as independent signals, thus ignoring their in-depth transmission and reception processes. The conclusions about the impact of reviewers on review helpfulness are also inconsistent due to the inaccurate measurement of variables. To fill the above gaps, we followed the signaling timeline theoretical framework used in signaling theory and employed a bootstrapping analysis to examine how reviewer impact, review informativeness, and hotel managerial responses interact to influence review helpfulness. In this study, we used a unique dataset that included official labels from one leading online travel agency. The results show that reviewer impact may affect review helpfulness sequentially through review informativeness and hotel managerial response. Furthermore, by using official labels, both reviewer expertise and reviewer experience significantly affect review helpfulness. Finally, we discuss the theoretical and practical implications of these findings.
Impact of modified SWAT plant growth module on modeling green and blue water resources in subtropics
Tianming Ma, Tianxiao Ma
, Available online  , doi: 10.52396/JUSTC-2023-0023
Article Views:376 HTML (376) Full article PDF
Abstract:
The dynamics of water availability within a region can be quantitatively analyzed by partitioning the water into blue and green water resources. It is widely recognized that vegetation is one of the key factors that affect the assessment and modeling of blue and green water in hydrological models. However, SWAT-EPIC has limitations in simulating vegetation growth cycles in subtropics because it was originally designed for temperate regions and naturally based on temperature. To perform a correct and realistic assessment of changing vegetation impacts on modeling blue and water resources in the SWAT model, an approach was proposed in this study to modify the SWAT plant growth module with the remotely sensed leaf area index (LAI) to finally solve problems in simulating subtropical vegetation growth, such as controlling factors and dormancy. Comparisons between the original and modified model were performed on the model outputs to summarize the spatiotemporal changes in hydrological processes (including rainfall, runoff, evapotranspiration and soil water content) under six different plant types in a representative subtropical watershed of the Meichuan Basin, Jiangxi Province. Meanwhile, detailed analysis was conducted to discuss the effectiveness of the modified SWAT model and the impacts of vegetation changes on blue and green water modeling. The results showed that (1) the modified SWAT produced more reasonable seasonal curves of plants than the original model. ENS (Nash-Sutcliffe efficiency) and R2 increased by 0.02 during the calibration period and accounted for an increase of 0.09 and 0.03, respectively, during the validation period. (2) The comparison of model outputs between the original and modified SWAT suggested that evapotranspiration was more sensitive to vegetation changes than other components of green water. In addition, vegetation presented conservation capability in the blue water. (3) The variation in blue and green water resources with different plant types after modifying the SWAT model showed that seasonal changes in vegetation led to a significant difference between forest and non-forest areas.
Estimation of peer pressure in dynamic homogeneous social networks
Jie Liu, Pengyi Wang, Jiayang Zhao, Yu Dong
, Available online  , doi: 10.52396/JUSTC-2023-0035
Article Views:552 HTML (552) Full article PDF
Abstract:
Social interaction with peer pressure is widely studied in social network analysis. Game theory can be utilized to model dynamic social interaction and one class of game network models assumes that peopleos decision payoff functions hinge on individual covariates and the choices of their friends. However, peer pressure would be misidentified and induce a non-negligible bias when incomplete covariates are involved in the game model. For this reason, we develop a generalized constant peer effects model based on homogeneity structure in dynamic social networks. The new model can effectively avoid bias through homogeneity pursuit and can be applied to a wider range of scenarios. To estimate peer pressure in the model, we first present two algorithms based on the initialize expand merge method and the polynomial-time two-stage method to estimate homogeneity parameters. Then we apply the nested pseudo-likelihood method and obtain consistent estimators of peer pressure. Simulation evaluations show that our proposed methodology can achieve desirable and effective results in terms of the community misclassification rate and parameter estimation error. We also illustrate the advantages of our model in the empirical analysis when compared with a benchmark model.
Asymmetric connectedness between China’s carbon and energy markets based on TVP-VAR model
Yu Dong, Xue Yuan, Yuting Wei
, Available online  , doi: 10.52396/JUSTC-2022-0144
Article Views:448 HTML (448) Full article PDF
Abstract:
An intuitive portrayal of the correlation between the carbon and energy markets is essential for risk control and green financial investment management. In this paper, we examine the asymmetric propagation of return spillovers between carbon and energy markets at the sector level. To achieve that, we improve the Diebold-Yilmaz index by a time-varying vector autoregressive (TVP-VAR) model. In a unified network, our daily dataset includes the closing prices of the Hubei carbon market, Shenzhen carbon market, coal futures, and energy stock index. The findings reveal that both the Hubei and Shenzhen pilots typically generate net information spillovers on energy futures. In connection with energy stocks, the Hubei carbon market acts as a net receiver, while the Shenzhen carbon market is a net transmitter. Compared with the Hubei pilot, the Shenzhen pilot is more tightly connected to the energy markets. Furthermore, the spillovers of the carbon markets exhibit significant asymmetry. In most cases, they have more substantial impacts on the energy markets when the prices of emission allowances rise. The direction and magnitude of asymmetric spillovers across markets vary over time and can be influenced by certain economic or political events.
Investigating the mechanisms driving the seasonal variations in surface PM2.5 concentrations over East Africa with the WRF-Chem model
Nkurunziza Fabien Idrissa, Chun Zhao, Qiuyan Du, Shengfu Lin, Kagabo Safari Abdou, Weichen Liu, Xiaodong Wang
, Available online  , doi: 10.52396/JUSTC-2022-0142
Article Views:586 HTML (586) Full article PDF
Abstract:
Most previous studies on surface PM2.5 concentrations over East Africa focused on short-term in situ observations. In this study, the WRF-Chem model combined with in situ observations is used to investigate the seasonal variation in surface PM2.5 concentrations over East Africa. WRF-Chem simulations are conducted from April to September 2017. Generally, the simulated AOD is consistent with satellite retrieval throughout the period, and the simulations depicted the seasonal variation in PM2.5 concentrations from April to September but underestimated the concentrations throughout the period due to the uncertainties in local and regional emissions over the region. The composition analysis of surface PM2.5 concentrations revealed that the dominant components were OIN and OC, accounting for 80% and 15% of the total concentrations, respectively, and drove the seasonal variation. The analysis of contributions from multiple physical and chemical processes indicated that the seasonal variation in surface PM2.5 concentrations was controlled by the variation in transport processes, PBL mixing, and dry and wet deposition. The variation in PM2.5 concentrations from May to July is due to wind direction changes that control the transported biomass burning aerosols from southern Africa, enhanced turbulent mixing of transported aerosols at the upper level to the surface and decreased wet deposition from decreased rainfall from May to July.

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