A High-Throughput FPGA-Based Elliptic Curve Digital Signature Core for IoT Edge Platforms

. Information security is significant in many aspects, especially in IoT applications such as healthcare or monitoring. Therefore, cryptography algorithms are usually deployed on IoT edge platforms to ensure the integrity and safety of information. As one of the most attractive and efficient methods for implementing digital signature algorithms (DSA), elliptic curve cryptography (ECC) can be used for many security applications. In this work, we design and build an FPGA-based DSA hardware computing core with the ECC algorithm, called ECDSA, to accelerate the processing throughput of IoT edge platforms. We deploy the proposed system on the Kria KV260 edge computing platform with a Xilinx Zynq UltraScale+ FPGA device. Experimental results with test vectors provided by the Nati onal Institute of Standards and Technology (NIST) show that our edge computing platform can generate up to 3,361 signatures per second, with a processing throughput of up to 2.46 Mbps.

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Unlocking the secrets of user engagement: the role of multimodal information and sentiment signals in AI agent design

Purpose – This study investigates how the information and sentiment of content conveyed by AI agents on digital platforms influence user engagement with multimodal content. Analyzing data on 2,238 agents from the character AI system, we show how text and images activate distinct information-processing channels and jointly shape user interactions. Design/methodology/approach – We analyze multimodal data from AI agents using structural topic modeling (STM), VADER sentiment analysis, image information entropy and a ResNet-50 deep-learning model. Grounded in dual coding theory (DCT) and the elaboration likelihood model (ELM), we focus on two attributes – informational richness and sentiment polarity – for both text and images, and test their impacts on users’ online engagement behavior. Findings – Text information shows an inverted-U relationship with user engagement. Image visual complexity moderates the effect of textual informational richness. Although aggregate sentiment does not significantly predict engagement, image sentiment amplifies the effect of text sentiment. Images with low emotional intensity create an “emotional vacuum” that increases engagement when paired with positive textual sentiment. Originality/value – By integrating DCT and ELM, this study offers a new framework for explaining the behavioral effects of multimodal content. It also introduces a method for quantifying the informational and affective attributes of text–image pairs. The findings provide actionable guidance for optimizing digital marketing content and the design of AI-driven conversational agents.

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The impact of knowledge sharing on well-being at work − Is organizational learning capability a mediating link?

Purpose – Well-being at work is a prime concern for learning organizations where work is knowledgeintensive and the need for updated learning exerts high work pressure. This study aims to examine the mediating influence of organizational learning capability in facilitating routine and novel knowledge sharing to foster employees’ well-being at work in Indian information technology (IT) organizations. This research explores whether the sharing of routine knowledge and novel knowledge contributes to employees’ well-being at work by enhancing organizational learning capability. Design/methodology/approach – Using a quantitative approach, the authors collected data from 209 employees in ITorganizations in India via a questionnaire survey. After verifying the re liability and validity of the data, the authors analysed the data using co-variance-based structural equation modelling using AMOS 26. Findings – The results show that the indirect effect of routine and novel knowledge sharing on well-being at work was influenced by the mediating role of organizational learning capability. Routine knowledge sharing has a significant positive impact on organizational learning capability and well-being at work. While novel knowledge sharing positively predicted organizational learning capability, it did not have a direct impact on well-being at work. Moreover, organizational learning capability has a direct positive effect on employees’ well-being at work. Research limitations/implications – The cross-sectional design of the study makes the cause-and-effect relationship difficult to conclude. Moreover, the use of self-report measures poses methodological biases. Thus, longitudinal studies with objective measurements are recommended. Future st udies can examine the role of individual characteristics such as learning orientation and personality in the studied framework. Practical implications – Employee well-being and organizational learning can be enhanced through knowledge sharing practices, promoted by human resource policies and leaders. This promotes on-the-job learning, reducing working hours for training and learning purposes. By fostering a culture of openness, mutual trust and networking, organizations can enhance their employees’ work−life balance and overall performance. Originality/value – This paper addresses a paucity in the literature concerning the outcomes of knowledge sharing and factors that lead to well-being at work. Drawing on the learning-based well-being perspective and job-demand resource theory, this research pioneers the examination of the mediating effect of organizational learning capability in the link between routine and novel knowledge sharing and employees’ well-being in IT learni ng organizations in India. Findings of this study may help managers of IT firms boost organizational learning and improve knowledge workers’ well-being, thus helping to maximize their performance and enhance employee retention and welfare.

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Advancing myself at others’ expense? The impact of social comparison on counterfeit luxury purchasing

Purpose – Protecting intellectual property and curbing counterfeit goods are vital strategies for safeguarding corporate uniqueness. Despite anticounterfeiting efforts in recent years, counterfeit luxury goods, continue to occupy a significant share of the consumer market. The purpose of this paper is to: explore the factor influencing counterfeit luxury purchase and identify the underlying mechanisms and boundary conditions in this purchasing behavior. Design/methodology/approach – Drawing on Bourdieu’s theory of practice, this paper develops a theoretical framework and empirically tests it using data from 885 participants in China, recruited through the online platform Credamo. Findings – Study 1 revealed that upward social comparison (vs downward social comparison) is more likely to stimulate individuals’ willingness to purchase luxury counterfeits. Study 2 examined the mediating role of moral perception in the proposed research model. The results of Studies 3 and 4 demonstrated that when individuals experience heightened moral salience or learn about luxury brand transgressions, their purchasing behavior is no longer influenced by social comparison, thereby attenuating the main effect. Originality/value – To the best of the authors’ knowledge, this is the first study to explore the effect of the core factor in counterfeit research – social comparison. It suggests that social comparison can effectively alter consumers’ moral perceptions of counterfeit luxury consumption, while this effect is eliminated in the conditions of high moral salience or present brand transgression. These findings enhance the existing research on social comparison and counterfeit luxury consumption, explaining the mechanism behind it and provides managerial insights on strategies to inhibit counterfeit luxury consumption.

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(Abstract not found)

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The champagne curve of climate and development inequalities

The article examines the correlation between per capita consumption-based CO2 emissions and the Human Development Index (HDI). The relationship follows a 'Champagne Curve' resembling champagne spraying from a freshly sabred bottle: initially, HDI rises with emissions but levels off beyond a certain threshold. Countries with low HDIs (below 0.6) exhibit relatively uniform per capita CO2 emissions, whereas those with higher HDIs (above 0.8) show much greater variation. Our findings indicate that beyond a certain HDI level, additional carbon consumption no longer contributes to well-being. This suggests that once a country reaches a high level of development, energy-saving and efficiency measures can be implemented without reducing individual well-being. Moreover, our results high­ light the need for a differentiated approach to climate policy by categorizing countries into three groups: advanced, moderate, and limited transformation capacity. This classification could facilitate a more equitable implementation of climate policies, such as carbon pricing, helping to combat global warming while easing international negotiations. KEYWORDS Climate; HDI; energy; CO2 JEL CLASSIFICATION O10; Q40; Q50 I. Introduction The interplay between economic development and pollution has been a central focus in envir­ onmental economics (Meadows et al. 1972). The Environmental Kuznets Curve (Grossman and Krueger 1993) posits that pollution increases with income in the early stag

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ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS Different supercontinuum generation processes in photonic crystal fibers pumped with a 1064-nm picosecond pulse

(Abstract not found)

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