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This study examines whether Confucian culture can promote enterprise total factor productivity (TFP), and it also studies how transmission mechanism works on enterprise TFP.

Based on the data of A-share listed companies on Shanghai and Shenzhen stock markets from 2008 to 2019, this study measures the influence of Confucian culture on enterprise TFP by the number of Confucian academies and Confucian temples within three radius ranges of a company's registered address.

The empirical results show that Confucian culture has a positive effect on the enterprise TFP. The transmission mechanism test shows that Confucian culture can promote the TFP of Chinese enterprises through reducing agency cost, improving agency efficiency and enhancing innovation.

The findings in this study provide implications for policymakers, scholars and enterprises. The results show that Confucian culture can enhance the TFP of Chinese enterprises. Especially in emerging markets including China, the Confucian culture, as an informal institution, can effectively complement formal institutions, promoting enterprise TFP.

This study expands the literature on Confucian culture in two aspects: the influence of Confucian culture on TFP and its transmission mechanism. To the authors' knowledge, this is the first study to identify a link between Confucian culture and enterprise TFP.

This paper aims to anticipate the possible development direction of WAAM. For large-scale and complex components, the material loss and cycle time of wire arc additive manufacturing (WAAM) are lower than those of conventional manufacturing. However, the high-precision WAAM currently requires longer cycle times for correcting dimensional errors. Therefore, new technologies need to be developed to achieve high-precision and high-efficiency WAAM.

This paper analyses the innovations in high-precision WAAM in the past five years from a mechanistic point of view.

Controlling heat to improve precision is an effective method. Methods of heat control include reducing the amount of heat entering the deposited interlayer or transferring the accumulated heat out of the interlayer in time. Based on this, an effective and highly precise WAAM is achievable in combination with multi-scale sensors and a complete expert system.

Therefore, a development direction for intelligent WAAM is proposed. Using the optimised process parameters based on machine learning, adjusting the parameters according to the sensors’ in-process feedback, achieving heat control and high precision manufacturing.

It has become obvious to companies that the metaverse may help maximize profits. The purpose of this chapter is to describe the uses and possibilities of metaverse-based virtual and augmented reality technologies in the future. Brands can now engage with customers at a completely new level of interaction through Metaverse, which cannot be achieved within current marketing channels. Immersive XR environments may require decision makers to reexamine customer journeys, demographic characteristics, and customer personas. The main purpose of this chapter is to present an overview of metaverse applications. Further this section reveals the ways in which the business and education industry can benefit through metaverse applications. Additionally, this section reveals the real-world applications of technology in metaverse for avatar, gaming, and prospects. Finally, this chapter sheds light on the academics and practitioners by showing how metaverse elements can contribute for business processes.

The purpose of this paper Computing is a recent emerging cloud model that affords clients limitless facilities, lowers the rate of customer storing and computation and progresses the ease of use, leading to a surge in the number of enterprises and individuals storing data in the cloud. Cloud services are used by various organizations (education, medical and commercial) to store their data. In the health-care industry, for example, patient medical data is outsourced to a cloud server. Instead of relying onmedical service providers, clients can access theirmedical data over the cloud.

This section explains the proposed cloud-based health-care system for secure data storage and access control called hash-based ciphertext policy attribute-based encryption with signature (hCP-ABES). It provides access control with finer granularity, security, authentication and user confidentiality of medical data. It enhances ciphertext-policy attribute-based encryption (CP-ABE) with hashing, encryption and signature. The proposed architecture includes protection mechanisms to guarantee that health-care and medical information can be securely exchanged between health systems via the cloud. Figure 2 depicts the proposed work's architectural design.

For health-care-related applications, safe contact with common documents hosted on a cloud server is becoming increasingly important. However, there are numerous constraints to designing an effective and safe data access method, including cloud server performance, a high number of data users and various security requirements. This work adds hashing and signature to the classic CP-ABE technique. It protects the confidentiality of health-care data while also allowing for fine-grained access control. According to an analysis of security needs, this work fulfills the privacy and integrity of health information using federated learning.

The Internet of Things (IoT) technology and smart diagnostic implants have enhanced health-care systems by allowing for remote access and screening of patients’ health issues at any time and from any location. Medical IoT devices monitor patients’ health status and combine this information into medical records, which are then transferred to the cloud and viewed by health providers for decision-making. However, when it comes to information transfer, the security and secrecy of electronic health records become a major concern. This work offers effective data storage and access control for a smart healthcare system to protect confidentiality. CP-ABE ensures data confidentiality and also allows control on data access at a finer level. Furthermore, it allows owners to set up a dynamic patients health data sharing policy under the cloud layer. hCP-ABES proposed fine-grained data access, security, authentication and user privacy of medical data. This paper enhances CP-ABE with hashing, encryption and signature. The proposed method has been evaluated, and the results signify that the proposed hCP-ABES is feasible compared to other access control schemes using federated learning.

The paper aims to develop an efficient data-driven modeling approach for the hydroelastic analysis of a semi-circular pipe conveying fluid with elastic end supports. Besides the structural displacement-dependent unsteady fluid force, the steady one related to structural initial configuration and the variable structural parameters (i.e. the variable support stiffness) are considered in the modeling.

The steady fluid force is treated as a pipe preload, and the elastically supported pipe-fluid model is dealt with as a prestressed hydroelastic system with variable parameters. To avoid repeated numerical simulations caused by parameter variation, structural and hydrodynamic reduced-order models (ROMs) instead of conventional computational structural dynamics (CSD) and computational fluid dynamics (CFD) solvers are utilized to produce data for the update of the structural, hydrodynamic and hydroelastic state-space equations. Radial basis function neural network (RBFNN), autoregressive with exogenous input (ARX) model as well as proper orthogonal decomposition (POD) algorithm are applied to modeling these two ROMs, and a hybrid framework is proposed to incorporate them.

The proposed approach is validated by comparing its predictions with theoretical solutions. When the steady fluid force is absent, the predictions agree well with the “inextensible theory”. The pipe always loses its stability via out-of-plane divergence first, regardless of the support stiffness. However, when steady fluid force is considered, the pipe remains stable throughout as flow speed increases, consistent with the “extensible theory”. These results not only verify the accuracy of the present modeling method but also indicate that the steady fluid force, rather than the extensibility of the pipe, is the leading factor for the differences between the in- and extensible theories.

The steady fluid force and the variable structural parameters are considered in the data-driven modeling of a hydroelastic system. Since there are no special restrictions on structural configuration, steady flow pattern and variable structural parameters, the proposed approach has strong portability and great potential application for other hydroelastic problems.

This paper aims to obtain rare earth magnesium alloy with good adhesion and corrosion resistance.

In 353 K oil bath, cyclic voltammetry was used to study the electrochemical behavior of Pr(III), Mg(II) and Ni(II) in choline chloride-urea ionic liquid. The constant potential method was adopted for electrodeposition of Pr-Mg-Ni ternary alloy films. The content of Pr in the Pr-Mg-Ni alloy films changes with respect to the deposition potential, deposition time and concentration ratio of Pr³⁺:Mg²⁺:Ni²⁺. Response surface methodology was applied to optimize the conditions for obtaining high-quality deposition films.

The results showed that the reaction of Ni(II) to Ni is irreversible; this result can be verified by Tafel polarization curve and chronocoulometry curve. Its transfer coefficient on the platinum electrode of 0.32 and diffusion coefficient is 1.0510⁻⁶ cm².s⁻¹. Mg(II) and Pr(III) cannot solely be reduced to their elemental form, but they can be induced via codeposition by Ni(II). The result shows that under a voltage of −1.00 V, the alloy coating with even structure is obtained when the concentration ratio of Pr³⁺:Mg²⁺:Ni²⁺ is 1:1:1 and the deposition time is 20 min. Scanning electron microscopy, X-ray diffraction, energy-dispersive X-ray spectroscopy and other analyses revealed that the alloy coating is amorphous. Polarization curves of the cathode are tested, which manifest the lowest corrosion current density, stating which has good corrosion performance in alkaline solution and NaCl solution; this can be attributed to its dense film structure and good combination with the substrate.

It provides some technology for the production of corrosion-resistant materials.

This paper aims to fabricate nickel-aluminum (Ni-Al)-based self-lubricating composite coating on aluminum (Al) alloy by mechanical milling (MM).

A new carrier transport (CT) way was designed to solve the slippage fracture of the coating due to silver (Ag) accumulation (Ag powders were cold welded with nickel [Ni] powders by MM in advance to avoid accumulation, then Al powder and samples were added to fabricate the coating).

Microstructure analysis reveals that the solid lubricant Ag exists as particles in the composite coating via CT technique, which is different from the typical morphology (strip-type) of Ag tailored by normal methods. The unique granular form of Ag can effectively avoid the gliding fracture of the coating, thus forming an efficacious lubrication film on the worn surface, which is responsible for the excellent tribological properties of the coating.

Most of the papers reported that coatings synthesized by MM mainly concentrated on hard coatings, but the fabrication of self-lubricating coatings have not yet reported.

The uniform dispersion of solid lubricant Ag can effectively solves a fatal problem that the fracture failure of coating triggered by the Ag accumulation. This experiment provides a novel method for preparation of self-lubricating coating by MM.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-01-2020-0030

This paper aims to investigate the improvement of Sn58Bi solder properties by Ni nanoparticle to provide theoretical support in the field of electronic packaging.

In this study, nickel nanoparticles (Ni NPs) were doped into Sn58Bi solder as a reinforcing agent to prepare a composite solder. The wettability of composite solder, melting characteristics of solder alloy, microstructure of joints, mechanical properties and intermetallics growth at the interface were investigated.

Test results show that Ni had little substantial effect on the solders alloy melting temperature yet decreased the alloy undercooling. Notably, Ni enhanced solders wettability on Cu substrates. The spreading area increased by 14% at 0.6 wt.% Ni. The Ni refined the microstructure of Sn58Bi solder joints and inhibited the coarsening of the Bi-rich phase in the solder. At the same time, it also led to the production of free intermetallic compounds, increasing growth of the intermetallic compound (IMC) layer. However, upon surpassing 0.6 wt.% Ni, (Cu, Ni)₆Sn₅ accumulated and formed irregular clumps in the matrix. The grain size of the IMC layer gradually decreased as Ni was added. In shear tests, the fracture of joints occurred mainly inside the solder matrix. Sn58Bi-0.6Ni joints displayed a 40% rise in shear strength and a 25% rise in Vickers hardness. In addition, the appearance of dimples at the fracture indicated the improved flexibility of joints.

In this paper, Ni nanoparticle with different contents were added to Sn58Bi solder to prepare a composite solder, and the properties of the composite solder were investigated from different perspectives.

This paper aims to coat ternary composite NiBP-graphite films by Dynamic Chemical Plating “DCP” technique with a growth rate of at least 5 μm/h, which makes this technique a worthy candidate for production of composite films. Electroless nickel plating method can be used to deposit nickel–phosphorous and nickel–boron coatings on metals or plastic surface. However, restrictions such as toxicity, short lifetime of the plating-bath and limited plating rate have limited applications of conventional electroless processes.

DCP is an alternative for producing metallic deposits on non-conductive materials and can be considered as a modified electroless coating process. Using a double-nozzle gun, two different solutions containing the precursors are sprayed simultaneously and separately onto the surface. With this technique, NiBP-graphite films are fabricated and their corrosion and tribological properties are investigated.

With a film thickness of 2 μm, tribological analysis confirms that these coatings have favorable anti-friction and anti-wear properties. Corrosion resistance of NiBP-graphite composite films was investigated, and it was found that graphite incorporation significantly enhances corrosion resistance of NiBP films.

DCP is faster and simpler to perform compared to other electroless deposition techniques. Using a double-nozzle gun, metal salt solution and reducing agents are sprayed to the surface, forming a deposit. Previously, coatings such as Cu, Cu-graphite, Cu-PTFE, Ni-B-TiO2, Ni-P, Ni-B-P and Ni-B-Zn with favorable compactness and adherence by DCP were reported. In this paper, the authors report the application of the DCP technique for depositing NiBP-PTFE nanocomposite films.

This study aims to investigate the intersection of financial technology (fintech) and credit risk exploring the impact of fintech on credit risk within the banking and financial sector.

Using a bibliometric analysis approach, this study comprehensively reviews existing literature to understand the evolving landscape of fintech and credit risk. Data were extracted from the Scopus database using a comprehensive query encompassing various fintech-related keywords and their synonyms.

This study pinpoints six research streams on fintech and credit risk, spanning credit risk management, risk-sharing, credit scoring, regulatory challenges, small business lending impact and consumer credit market influence. It also examines recent advancements like artificial intelligence, blockchain and big data analytics in managing risk obligations.

While this study offers a comprehensive assessment, limitations include the ever-evolving nature of technology and potential biases in the retrieval process. Researchers should consider these factors when building on this study's findings.

The findings have practical implications for financial institutions, policymakers and researchers, offering insights into the opportunities and challenges presented by fintech in credit risk management. This study highlights potential areas for the application of advanced technologies in risk assessment and mitigation.

This study underscores the transformative impact of fintech on financial services, emphasizing the potential for more inclusive access and improved risk management. It encourages further exploration of fintech's societal implications, including its role in small business lending and consumer credit markets.

This study contributes to the existing body of knowledge by conducting a thorough bibliometric review, surpassing previous analyses in scope. It encompasses an extensive set of keywords to ensure the comprehensive retrieval of relevant papers, providing a foundation for future research in the dynamic field of fintech and credit risk.