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Vanadium doping can effectively modify the physical properties of transition metal dichalcogenides (TMDCs), broadening their application prospect in electronic, spintronic, and valleytronic devices. However, vanadium dopants always suppress the growth of TMDCs and lower the growth controllability. Here, we report the morphology-controlled growth of vanadium-doped MoS2 (V-MoS2). Both the layer-controlled growth and fractal growth of monolayer V-MoS2 were realized, and the mechanism was analyzed, including contributions from the localized concentration of Mo atoms, the etching effect, and formation energies of different terminations. It will shed light on the morphology-controlled growth of other vanadium-doped TMDCs, promoting the construction of novel devices. Controll vanadium dopants enables layer-controlled and fractal growth of V-MoS2 in this work with contributions from the localized concentration of Mo atoms, the etching effect, and formation energies of different terminations. It will help to realize the morphology-controlled growth of other vanadium-doped TMDCs and thus promotes the construction of novel devices. [ABSTRACT FROM AUTHOR]

More and more Chinese enterprises have participated in the Belt and Road initiative (BRI) since its launch in 2013. However, have they all actually benefited? Which companies otherwise have benefited most from the plan? To answer these questions, this paper analyzes the impact of the BRI on Chinese enterprises. Among several findings, it reveals that the performance of companies remained low even though the initiative policy initially stimulated performance, the performance of enterprises depends on the geographical location of enterprises and that the returns of China's outward foreign direct investment in various industries became more volatile with only the mining industry enjoying better returns. Thus, the paper shows that the BRI offers Chinese enterprises opportunities but also brings challenges for companies to optimize the allocation of their resources and improve the performance of their investments. [ABSTRACT FROM AUTHOR]

After decades of development, the single-walled carbon nanotube (SWCNT) has found its advantage in the application of logic devices and energy applications. However, the difficulty in the chirality-selected growth and mass production of the SWCNT impedes its commercial application, especially in field effect transistors (FETs) and solid-state electrodes used in lithium-ion batteries. The injection chemical vapor deposition (iCVD) is one of the most promising methods to realize the mass production of the SWCNT, during which the catalyst plays a key role in determining the diameter, wall number, and even chirality of as-grown carbon nanotubes. Here, an Fe complex-based catalyst system is designed to realize the chirality-selected continuous growth of the SWCNT. The introduction of NaCl can reduce the size of the formed localized liquid zones and enrich S atoms in these liquid zones, which contributes to the growth of the SWCNT. The different combinations of Fe-(Ddtc)2(Phen) (Phen = 1,10-phenanthroline and Ddtc = diethyldithiocarbamate) and ferrocene then promote the growth of the SWCNT with different chiralities. The continuous growth progress confirms the high efficiency of this catalyst system, and the Raman and transmission electron microscopy (TEM) characterizations validate its effectiveness in the chirality-selected synthesis of the SWCNT. This study will provide an idea for the fine mass production of the SWCNT. [ABSTRACT FROM AUTHOR]

Chemical soil fumigation (CSF) and reductive soil disinfestation (RSD) have been proven to be effective agricultural strategies to improve soil quality, restructure microbial communities, and promote plant growth in soil degradation remediation. However, it is still unclear how RSD and CSF ensure soil and plant health by altering fungal communities. Field experiments were conducted to investigate the effects of CSF with chloropicrin, and RSD with animal feces on soil properties, fungal communities and functional composition, and plant physiological characteristics were evaluated. Results showed that RSD and CSF treatment improved soil properties, restructured fungal community composition and structure, enhanced fungal interactions and functions, and facilitated plant growth. There was a significant increase in OM, AN, and AP contents in the soil with both CSF and RSD treatments compared to CK. Meanwhile, compared with CK and CSF, RSD treatment significantly increased biocontrol Chaetomium relative abundance while reducing pathogenic Neonectria relative abundance, indicating that RSD has strong inhibition potential. Furthermore, the microbial network of RSD treatment was more complex and interconnected, and the functions of plant pathogens, and animal pathogen were decreased. Importantly, RSD treatment significantly increased plant SOD, CAT, POD activity, SP, Ca, Zn content, and decreased MDA, ABA, Mg, K, and Fe content. In summary, RSD treatment is more effective than CSF treatment, by stimulating the proliferation of probiotic communities to further enhance soil health and plant disease resistance. [ABSTRACT FROM AUTHOR]

Nonlinear inverse problems arise in various fields ranging from scientific computation to engineering technology. Inverse problems are intrinsically ill-posed, and effective regularization techniques are necessary. The core of a suitable regularization method is to introduce the prior information of the model via an explicit or implicit regularization function. Plug-and-play regularization is a flexible framework that integrates the most effective denoising priors into an iterative algorithm, and it has recently shown great potential in the solution of linear ill-posed problems. Unlike traditional regularization methods, plug-and-play regularization does not require an explicit regularization function to represent the prior information of the model. In this work, by using total variation, block-matching and three-dimensional filtering, and fast and flexible denoising convolutional neural network denoisers, we propose a novel iterative regularization algorithm based on the alternating direction method of multipliers method. The combination of total variation and block-matching three-dimensional filtering regularizers can take advantage of the sparsity and nonlocal similarity in the solution of inverse problems. When combined with traditional and novel regularizers, deep neural networks have been shown to be an effective regularization approach, which can achieve state-of-the-art performance. Finally, we apply the proposed algorithm to the full waveform inversion problem to show the effectiveness of our method. Numerical results demonstrate that the proposed algorithm outperforms existing inversion methods in terms of quantitative measures and visual perceptual quality. [ABSTRACT FROM AUTHOR]

Objectives . Improvement of the professionalization level for the new generation of construction workers (NGCWs) is critical to upgrade the construction industry. It also provides a new approach to reduce their unsafe behaviour. The purpose of this study is to analyse the correction mechanism of the professionalization level on NGCWs' unsafe behaviour. We examined the mediating role of work-family conflict and job burnout on impacting NGCWs' unsafe behaviour. The moderation effect of the NGCWs' perceived organizational support was also examined. Methods. The cross-sectional study was conducted based on structural equation modelling, confirmatory factor analysis and regression analysis with a sample of 496 NGCWs in China. Results. The professionalization level can effectively correct NGCWs' unsafe behaviour. Job burnout can independently mediate the relationship between professionalization level and unsafe behaviour and act as a serial mediator for work-family conflict. Moreover, the high level of perceived organizational support will effectively suppress the effect of work-family conflict on job burnout. Conclusions . Improving the professionalization level is an effective way to correct NGCWs' unsafe behaviour. Moreover, management should help the NGCWs balance work and family, to alleviate burnout. Additionally, it is suggested that management should ensure the NGCWs perceive the organizational support.