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The purpose of this paper is to study the mechanical and corrosion behaviors of selective laser melting (SLM) 30CrMnSiA steel.

The microstructure, mechanical behavior and corrosion resistance of SLM 30CrMnSiA steel were studied by electrochemical test and immersion experiment.

The results showed that the microstructure of SLM 30CrMnSiA steel contained equiaxed fine (25.0 µm) ferrite and lamellar pearlite. The tensile strength of SLM 30CrMnSiA steel under the process parameters is 1,447 MPa and the elongation is 7.5%. As the immersion/salt spray test time increased to 15 days/48 h, corrosion mainly occurred in the local position of the sample and corrosion resistance decreased. When the immersion/salt spray test time increased to 30 days/168 h, the corrosion production covered the surface of the samples and the corrosion resistance increased.

The paper can guide the application and in situ repair for low-alloy steel by additive manufacturing.

The time complexity of most multiple sequence alignment algorithm is O(N2) or O(N3) (N is the number of sequences). In addition, with the development of biotechnology, the amount of biological sequences grows significantly. The traditional methods have some difficulties in handling large-scale sequence. The proposed Lemk_MSA method aims to reduce the time complexity, especially for large-scale sequences. At the same time, it can keep similar accuracy level compared to the traditional methods.

LemK_MSA converts multiple sequence alignment into corresponding 10D vector alignment by ten types of copy modes based on Lempel-Ziv. Then, it uses k-means algorithm and NJ algorithm to divide the sequences into several groups and calculate guide tree of each group. A complete guide tree for multiple sequence alignment could be constructed by merging guide tree of every group. Moreover, for large-scale multiple sequence, Lemk_MSA proposes a GPU-based parallel way for distance matrix calculation.

Under this approach, the time efficiency to process multiple sequence alignment can be improved. The high-throughput mouse antibody sequences are used to validate the proposed method. Compared to ClustalW, MAFFT and Mbed, LemK_MSA is more than ten times efficient while ensuring the alignment accuracy at the same time.

This paper proposes a novel method with sequence vectorization for multiple sequence alignment based on Lempel-Ziv. A GPU-based parallel method has been designed for large-scale distance matrix calculation. It provides a new way for multiple sequence alignment research.

The purpose of this paper is to investigate how the information about haze, a term used in China to describe the air pollution problem, is portrayed on Chinese social media by different types of organizations using the theoretical framework of the health belief model (HBM).

A content analysis was conducted based on the 756 posts retrieved from Sina Weibo, the top microbloging platform in China, following the simple random sampling method. χ2 analysis was conducted to examine the relationships across the three types of organizations (governmental organizations, non-governmental organizations, and corporations) and the use of the HBM concepts (perceived susceptibility, perceived severity, perceived benefits, perceived barriers, self-efficacy, and cues to action) in terms of haze and its threat to health.

The results of this study indicated that corporations posted more Weibo messages categorized as perceived benefit and most of these posts are related to their products, while governmental organizations posted fewer Weibo messages categorized as perceived severity.

This study provides health decision makers and media consumers with knowledge about how to use social media more effectively in terms of haze-related issues.

Given the severity of air pollution and the influential role microblogging takes, the study aims to fill the gap in the limited literature on haze information dissemination on social media in China. In addition, this study aims to shed theoretical light on HBM as applied to a non-westernized context.

This paper aimed to prepare a kind of ZnS nanoparticles/poly(phenylene vinylene) (PPV) nanofibre and investigate its properties. Because the ZnS nanoparticles are important optoelectronic materials, their incorporation into one-dimensional (1D) nanoscale polymer matrices should be a meaningful subject for electrospinning.

ZnS/PPV composite nanofibres with an average diameter of 600 nm were successfully prepared by a combination of the in situ method and electrospinning technique. The nanofibres were electrospun from Zn(CH3COO)2·2H2O and PPV precursor composite solution, and the ZnS/PPV fibres were obtained by exposure of the electrospun fibres to H₂S gas to prepare ZnS nanoparticles in situ. Such fibres were characterised using X-ray Diffraction (XRD), Fourier transform infrared, transmission electron microscope (TEM), scanning electron microscope and photoluminescence (PL). The photoelectric properties of the fibres obtained were also investigated.

XRD patterns proved that ZnS nanocrystals generated in the composite nanofibres. The TEM image showed that the nanocrystals were homogeneously dispersed in the nanofibres. The PL spectrum of ZnS/PPV composite nanofibres exhibited a blue shift relative to the PPV nanofibres. I-V curve of the single nanofibre device under 5.76 mW/cm2 light illumination showed that the composite nanofibres have good photoelectric properties.

The comparisons of advantages between ZnS/PPV nanofibres with similar nanofibres will be further expanded in a later research.

Results demonstrate the promise of these novel nanostructures as ultraminiature photodetectors with the potential for integration into future hybrid nanophotonic devices and systems.

The integration of inorganic semiconductor nanoparticles into organic conjugated polymers leads to composite materials with unique physical properties and important application potential. In this work, ZnS nanoparticles were introduced into PPV by an in situ method, so as to obtain a kind of novel 1D nanomaterials with good photoelectric properties.

This paper aims to explore the implementation of fair value accounting (FVA) in China as part of a global process of neoliberalisation and financialisation of political and economic systems. It establishes that FVA forms part of the technical architecture of neoliberalism.

In considering the processes of neoliberalisation in China, this paper uses a qualitative approach to explore some of the impacts the adoption of FVA has had on Chinese capital markets.

It is shown that the practice of FVA is imbued with assumptions about the state and the market that have little bearing on the realities of Chinese capital markets. Rather than advancing the public interest, as neoliberal theories claim, this accounting change has failed to transform political and economic power. Instead, it has provided another opportunity to reposition powerful political and economic elites both inside and outside China. This paper argues that the process has reconfigured capital markets in the image of those in advanced capitalist economies, but is devoid of the regulatory and socio‐political apparatus to rationalise its relevance and reliability in the Chinese context.

By positioning the research in broader literature of neoliberalism, this paper offers an alternative framing of the purpose of adopting FVA and, more broadly, the globalisation of International Financial Reporting Standards (IFRS).

This study aims to investigate the structural characteristics, spatial evolution paths and internal driving mechanisms of the knowledge transfer (KT) network in China’s patent-intensive industries (PIIs). The authors' goal is to provide valuable insights to inform policy-making that fosters the development of relevant industries. The authors also aim to offer a fresh perspective for future spatiotemporal studies on industrial KT and innovation networks.

In this study, the authors analyze the patent transfer (PT) data of listed companies in China’s information and communication technology (ICT) industry, spanning from 2010 to 2021. The authors use social network analysis and the quadratic assignment procedure (QAP) method to explore the problem of China’s PIIs KT from the perspectives of technical characteristics evolution, network and spatial evolution and internal driving mechanisms.

The results indicate that the knowledge fields involved in the PT of China’s ICT industry primarily focus on digital information transmission technology. From 2010 to 2021, the scale of the ICT industry’s KT network expanded rapidly. However, the polarization of industrial knowledge distribution is becoming more serious. QAP regression analysis shows that economic proximity and geographical proximity do not affect KT activities. The similarity of knowledge application capacity, innovation capacity and technology demand categories in various regions has a certain degree of impact on KT in the ICT industry.

The current research on PIIs mainly focuses on measuring economic contributions and innovation efficiency, but less on KT in PIIs. This study explores KT in PIIs from the perspectives of technological characteristics, network and spatial evolution. The authors propose a theoretical framework to understand the internal driving mechanisms of industrial KT networks.

The purpose of this paper is to examine the efficiency and productivity of a Greek bank's branches.

The sample consists of 458 branches of a Greek commercial bank, operating in 13 regions of Greece over the period 2002‐2005, a total of 1,795 observations. Data envelopment analysis was used to explore the efficiency and productivity of the branches. Then, fixed and random effects models were used to determine the impact of internal and external factors on the efficiency and productivity scores.

The results indicate that the branches in the sample could have achieved improved overall performance during 2002‐2005. Also, that the inclusion of loan loss provisions as an input variable increases the efficiency score, but for the total factor productivity (TFP) change, the results are mixed. The second stage regressions indicate that both the logarithm of personnel and the logarithm of income per capita in the local market have a significant impact on efficiency, while the loans to total assets ratio has a significant impact on pure technical efficiency only. When the various productivity change measures were regressed over the explanatory variables, it was found that the logarithm of per capita gross fixed capital formation has a positive and statistically significant impact on all measures. Also, that the return on assets, the loans to deposit ratio, the logarithm of personnel, and the logarithm of income of per capita, all have a positive and statistically significant impact on overall efficiency change.

This paper is the first study on Greek branches which examines the impact of market conditions. It examines the impact of risk‐taking on the efficiency of the branches and examines the productivity growth of the branch network using the Malmquist TFP index.

The purpose of this paper is to investigate the efficiency analysis of the Indian general insurance sector using data envelopment analysis (DEA) and subsequently assess the impact (if any) of the global slowdown on the performance of the allied sector.

The paper aims to analyze the operating performance of 12 general insurance companies in India between 2006-2007 and 2009-2010 using DEA based on secondary data collected from Insurance Regulatory and Development Authority Annual Reports.

Findings clearly indicate that the global economic slowdown has severely affected the performance of the private sector companies; while the public sector companies exhibited relatively lesser variation in performance levels.

The methodology employed in the study estimates relative efficiencies without assuming any functional form; as a result the proper comparison of input utilized with the output produced is not possible. Several other tools like Malmquist Index and two-stage procedure have not been used.

The study brings into light the operating characteristics and efficiencies of the Indian general insurance sector during the global slowdown and therefore holds practical value for policy makers and practitioners as well as for the decision makers of the firms employed in the study.