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This paper aims to design a vision-based non-contact real-time accurate heart rate (HR) measurement framework for home nursing assistant.

The study applied Second-Order Blind Signal Identification (SOBI) algorithm to extract remote HR signal and analyzed it with Fast Fourier Transform (FFT). Multiple regions of interest are chosen and analyzed to obtain a more accurate result.

An accurate non-contact hear rate (HR) measurement framework is proposed and proved to be efficient.

The contributions of this HR measurement framework are as follows: accurate measurement of HR, real-time performance, robust under various scenes such as conversation, lightweight computation which is suitable and necessary for home nursing assistance. This framework is designed to be flexibly used in various real-life scenes such as domestic health assistance and affectively intelligent agents and is proved to be robust under such scenes.

Although the concept of branding has been considered extensively in products and services, branding in Chinese is a relatively emerging phenomenon. This paper aims to present the enlivenment of branding in Chinese within the cross‐strait markets of Taiwan and Mainland China, which underlies various ideologies.

This study primarily reviews literatures of brand and brand name translation, defines the essentiality of brand naming, and outlines the branding strategies for entering cross‐strait markets. Furthermore, this study validates the using of substantially interpreted brands that support the authors' four developed propositions.

This study compares substantially interpreted brands in cross‐strait markets with a reference to commonly used translation methods. The results illustrate interesting ideologies among cross‐strait markets and can help managers achieve global brand recognition.

Since China and Taiwan share the same Chinese culture, the qualitative method proposed by the present authors is more applicable to practitioners who are eager to pursue branding in cross‐strait markets. Thus, the relevant techniques may not be applicable to people less familiar with Chinese culture.

The qualitative case study provides an advisable method for branding in Chinese. The results of this study can provide greater understanding of the various ideologies in cross‐strait markets, as well as help managers achieve global brand recognition.

The various ideologies from branding is complex, especially for those involved with linguistic essentials. Previous research has mainly focused on managerial‐based branding and customer‐based branding. This paper extends the interest into enlivening inspirations.

The purpose of this paper is to systematise the current state of research on the association between companies’ corporate social responsibility (CSR) engagement and financial analysts’ company assessment. Additionally, it aims to identify fruitful directions for future research that contribute to a further exploration of the link between CSR and financial analysts.

This study reviews and synthesises existing research on CSR and financial analysts. Based on the research question, “What is the relationship between CSR engagement and financial analysts’ metrics?,” the authors conduct a systematic literature review. The authors search three major databases and use an extensive search term to ensure exhaustive coverage of the field. The paper then systemises the current state of research and identifies knowledge gaps and potential directions for future research.

The review of existing research shows that several studies confirm a positive link between CSR performance and analyst coverage, suggesting that external monitoring through analysts incentivises companies to enhance their CSR engagement. Further, results indicate that a company’s involvement in “sin” industries is linked to lower analyst coverage. Besides, a higher level of CSR disclosure is positively associated with analyst forecast accuracy, thus indicating that the provision of CSR-related information is linked to an enhanced information environment. High levels of CSR performance are associated with more positive recommendations from analysts. However, recent surveys and interview studies on analysts’ perceptions of CSR fail to uniformly support an increasing interest in CSR.

For a better understanding of the link between CSR engagement and financial analysts, two fruitful directions for future research are observed. First, future research designs should clearly differentiate between CSR disclosure and CSR performance and take account of interdependencies between them. Second, studies should address behavioural insights into how analysts process information and the influence of individual analyst characteristics on the link between CSR engagement and an analyst’s assessment of a company.

This study is the first to review the literature on the relationship between CSR and financial analysts. The association between CSR and financial analysts is particularly interesting given the pivotal role financial analysts play as information intermediaries in financial markets. This study delivers an in-depth understanding of existing studies and their theoretical underpinnings. Based on the existing literature, this paper develops innovative directions for future research.

The purpose of this study is to investigate the intergranular corrosion (IGC) susceptibility of a nitrogen-containing austenitic stainless steel QN2109. The intergranular corrosion (IGC) susceptibility of a nitrogen-containing austenitic stainless steel QN2109 was investigated.

The double-loop electrochemical potentiodynamic reactivation (DL-EPR) tests were carried out. Scanning electron microscopy and atomic force microscopy were used to characterize the microstructure.

The optimized test condition for QN2109 was 1 M H₂SO₄ + 0.01 M NH₄SCN at 40°C. The nose temperature of the temperature–time–sensitization (TTS) curve of QN2109 plot was approximately 750°C. Moreover, the IGC susceptibility started to appear at approximately 120 min. The Cr-depletion zone of QN2109 was generated by the formation of M23C6 rather than by the addition of nitrogen. The depth–width ratio of the grain boundaries after the DL-EPR tests decreased as the aging temperature increased. The degree of Cr depletion and size of the Cr-depletion zone at the grain boundary were reflected by the degree of sensitization and depth–width ratio, respectively.

The optimized test condition for DL-EPR tests of a nitrogen-containing austenitic stainless steel QN2109 was investigated. The TTS curve of QN2109 was first plotted to avoid IGC failure. The morphology of the Cr-depletion zone was reflected by the depth–width ratio.

This study explores the impact of EN's (venture entrepreneurs, simplified as EN) jealousy fairness concerns coefficient on two-stage venture capital decision-making in cases of symmetrical and asymmetrical information. It discusses the equilibrium solution of two-stage venture.

The principal-agent model was established based on multiple periods, and differentiated contracts were established at different stages. The validity of the models and the contract was verified by numerical simulation.

The results suggest that with the increase in the EN fairness concerns coefficient, the effort level of EN decreases continuously and decreases faster in the second stage because this is the last stage. The level of VC's (venture capitalist, simplified as VC) effort declines first and then increases; that is, VC will increase the effort level when the fairness concerns coefficient increases to a certain threshold. To motivate EN to pay more effort, VC will increase the incentive to EN in the first stage. However, it will reduce the level of incentive to EN in the second stage. In the limited stage of venture investment, consider that the fairness concerns of EN do not make the profits of EN and VC achieve Pareto improvement simultaneously.

First, the authors implanted fairness concerns into multi-stage venture capital and discussed the impact of fairness concerns on the efforts and returns of both parties. Second, among the influencing factors of the project output, the authors consider the bilateral efforts of EN and VC, the working capacity of EN, the initial investment scale, and the external uncertain environment.

Narrative disclosures offer further elucidation of a company's financial performance beyond what is presented in numerical format. This can assist stakeholders in gaining a deeper comprehension of the elements that impact reported earnings, thereby improving the quality of financial information. The current research explores the impact of narrative disclosure on the earnings quality of firms listed on the Amman Stock Exchange (ASE).

Appropriating an index to measure the narrative disclosure level in the research sample firms, the research utilizes an analysis of the textual content of nonfinancial reports and statements issued by the management of the ASE-listed nonfinancial firms between 2013 and 2022. The financial statements issued in the annual financial reports are also adopted to extract data on earnings quality and the controlling variables. The analysis of the data and attainment of the findings necessitate using the panel data.

It is indicated that narrative disclosure affects earnings quality. To be precise, the greater the narrative disclosure, the lower the absolute value of the voluntary discretionary accruals and thus the higher the quality of accounting earnings.

The findings contribute to new research on disclosure issues, particularly narrative disclosure, which enhances reader confidence in financial and nonfinancial reports and prevents misleading and manipulated information.

This research helps decision-makers understand the relationship between reports, statements and earnings quality in a firm. It's unique in exploring this relationship, especially in developing countries. The study is the first of its kind in Jordan, known for its economic stability and strategic location in the Middle East, making its findings applicable to similar environments.

The 2019 ‘Sanremo’ Music Festival has stimulated a heated debate on immigration and Italy's so-called liberal pro-immigrant elites, as the winner, Alessandro Mahmoud, a 26-year-old rapper born in Milan, is the son of an Italian mother and an Egyptian immigrant, to whom he ‘dedicated’ his winning song, ‘Soldi’ (Money) that speaks about irresponsible fathers. A rapper with an Arabic name winning Italy's most famous festival has shocked many Italians who were used to seeing in Sanremo a reassuring representation of the old traditional canzone italiana. His victory was unexpected in a country, in which anti-immigrant attitudes are becoming mainstream, and the League's movement is deliberately whipping up this nationalist wind. However, Mahmoud represents only the tip of the iceberg as since 2005 a number of so called ‘second generation rappers’ has been growing in Italy, who are using their lyrics to talk about personal and collective discrimination’ experiences. Through a text analysis of the most prominent second generation rap writers, this chapter aims at detecting the claims for belonging they attach to this musicalized social and political forum, shedding light on the question of Italian citizenship that is still denied to second generation young people.

This study aims to investigate the cause of high-order wheel polygonization in a plateau high-speed electric multiple unit (EMU) train.

A series of field tests were conducted to measure the vibration accelerations of the axle box and bogie when the wheels of the EMU train passed through tracks with normal rail roughness after re-profiling. Additionally, the dynamic characteristics of the track, wheelset and bogie were also measured. These measurements provided insights into the mechanisms that lead to wheel polygonization.

The results of the field tests indicate that wheel polygonal wear in the EMU train primarily exhibits 14–16 and 25–27 harmonic orders. The passing frequencies of wheel polygonization were approximately 283–323 Hz and 505–545 Hz, which closely match the dominated frequencies of axle box and bogie vibrations. These findings suggest that the fixed-frequency vibrations originate from the natural modes of the wheelset and bogie, which can be excited by wheel/rail irregularities.

The study provides novel insights into the mechanisms of high-order wheel polygonization in plateau high-speed EMU trains. Futher, the results indicate that operating the EMU train on mixed lines at variable speeds could potentially mitigate high-order polygonal wear, providing practical value for improving the safety, performance and maintenance efficiency of high-speed EMU trains.

To examine the nature of Chinese business negotiating style in Sino‐Western business negotiations in business‐to‐business markets involving large industrial projects from a social cultural point of view.

A conceptual approach developed from personal interviews.

This study reveals that the Chinese negotiator does not possess an absolute negotiating style but rather embraces a mixture of different roles together: “Maoist bureaucrat in learning”, “Confucian gentleman”, and “Sun Tzu‐like strategist”. The Chinese negotiating strategy is essentially a combination of cooperation and competition (termed as the “coop‐comp” negotiation strategy in this study). Trust is the ultimate indicator of Chinese negotiating propensities and role choices.

The focus of this study is on Chinese negotiating style shown in large B2B negotiations with Chinese SOEs.

Differing from most other studies on Chinese negotiating style which tend to depict the Chinese negotiator as either sincere or deceptive, this study points out that there exists an intrinsic paradox in Chinese negotiating style which reflects the Yin Yang thinking. The Chinese negotiator has a cultural capacity to negotiate both sincerely and deceptively and he/she changes coping strategies according to situation and context, all depending on the level of trust between negotiating partners.

Grounded in the stakeholder theory and signaling theory, this study aims to broaden the research agenda on environmental, social and governance (ESG) investing by uncovering public sentiments and key themes using Twitter data spanning from 2009 to 2022.

Using various machine learning models for text tonality analysis and topic modeling, this research scrutinizes 1,842,985 Twitter texts to extract prevalent ESG investing trends and gauge their sentiment.

Gibbs Sampling Dirichlet Multinomial Mixture emerges as the optimal topic modeling method, unveiling significant topics such as “Physical risk of climate change,” “Employee Health, Safety and well-being” and “Water management and Scarcity.” RoBERTa, an attention-based model, outperforms other machine learning models in sentiment analysis, revealing a predominantly positive shift in public sentiment toward ESG investing over the past five years.

This study establishes a framework for sentiment analysis and topic modeling on alternative data, offering a foundation for future research. Prospective studies can enhance insights by incorporating data from additional social media platforms like LinkedIn and Facebook.

Leveraging unstructured data on ESG from platforms like Twitter provides a novel avenue to capture company-related information, supplementing traditional self-reported sustainability disclosures. This approach opens new possibilities for understanding a company’s ESG standing.

By shedding light on public perceptions of ESG investing, this research uncovers influential factors that often elude traditional corporate reporting. The findings empower both investors and the general public, aiding managers in refining ESG and management strategies.

This study marks a groundbreaking contribution to scholarly exploration, to the best of the authors’ knowledge, by being the first to analyze unstructured Twitter data in the context of ESG investing, offering unique insights and advancing the understanding of this emerging field.