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The purpose of this paper is to provide a modified welding image feature extraction algorithm for rotating arc narrow gap metal active-gas welding (MAG) welding, which is significant for improving the accuracy and reliability of the welding process.

An infrared charge-coupled device (CCD) camera was utilized to obtain the welding image by passive vision. The left/right arc position was used as a triggering signal to capture the image when the arc is approaching left/right sidewall. Comparing with the conventional method, the authors’ sidewall detection method reduces the interference from arc; the median filter removes the welding spatter; and the size of the arc area was verified to reduce the reflection from welding pool. In addition, the frame loss was also considered in the authors’ method.

The modified welding image feature extraction method improves the accuracy and reliability of sidewall edge and arc position detection.

The algorithm can be applied to welding seam tracking and penetration control in rotating or swing arc narrow gap welding.

The modified welding image feature extraction method is robust to typical interference and, thus, can improve the accuracy and reliability of the detection of sidewall edge and arc position.

This chapter reviews developments concerning central bank digital currencies (CBDCs). It introduces, analyzes, and discusses the potential implications of CBDCs on the existing cryptoassets landscape. The chapter also provides an overview of the different approaches to adopting and implementing this new form of money. Additionally, it compares traditional cryptocurrencies, privately issued stablecoins, fiat currencies, and CBDCs. Although vastly divergent opinions exist on digital money’s purpose, benefits, and use cases, CBDCs can provide opportunities for innovation and experimentation at a central bank and systemic level. CBDCs may pave the way for democratizing access to unbundled financial services while rethinking the overall purpose of money, monetary systems, and global business.

The purpose of this paper is to review the literature on Central Bank Digital Currencies (CBDCs) in light of the increasing demand for digital payments globally. It aims to assess the global research landscape, methodologies and data utilized in CBDC studies as their popularity grows.

The paper employs a systematic literature review (SLR) framework, utilizing the Scopus database to identify 323 studies related to Central Bank Digital Currency or CBDC. Through a thorough manual screening process, 169 studies were selected for inclusion. The research employs R, Biblioshiny and Excel for data evaluation, classifying the studies into three methodological categories: quantitative, qualitative and mixed approaches. This classification allows for a detailed assessment of the research techniques and data used in the literature on CBDCs.

The findings include a diverse range of research methodologies and data employed in CBDCs literature, highlighting the growing interest and depth of academic investigation into this area. By categorizing papers according to research technique, the study provides a comprehensive evaluation of the academic landscape regarding CBDC research. It offers valuable insights for researchers, policymakers and stakeholders, contributing to an enhanced understanding of the complexities and opportunities presented by the development and implementation of CBDCs.

This study’s originality lies in its rigorous and transparent methodology for data from CBDC studies, offering a solid framework for future research. By evaluating global research growth within an SLR framework and categorizing studies by research technique, it contributes uniquely to the academic discourse on digital currencies. The paper provides a critical resource for researchers, lawmakers and stakeholders, enriching the knowledge base on CBDCs and supporting informed decision-making in the context of digital financial innovation.

In daily life, consumers usually experience economic limitations on their consumption, which in turn results in experiencing financial constraints. The purpose of this article is to examine how feeling financially constrained influences variety seeking in consumption.

The authors conducted three experiments to test the proposed hypotheses by applying multiple methods of manipulation of financial constraints and different measures of variety seeking.

The authors found that feeling financially constrained increases consumers’ insecurity, which in turn decreases their variety-seeking behavior. Additionally, the authors noted that individuals’ positive illusion could moderate the aforementioned effect. The negative effect of financial constraints on variety seeking only existed among consumers with a low positive illusion.

The findings in this article could help marketers attain a better understanding of consumers’ choices under financial constraints and could help retailers optimize their product lines and distribution.

This research marks the first attempt to examine the relationship between financial constraint and variety seeking. The findings make for a valuable addition to both the financial constraint and variety-seeking literature reviews. The research study also extends the literature on how insecurity and positive illusion influence individuals’ decisions in the consumption context.