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The purpose of this paper is to elucidate the influences of the animal fat and fatty acid type on the formation of polycyclic aromatic hydrocarbons (PAHs) and to propose a formation mechanism of PAHs in fat during electric roasting, which is a method of non-direct-contact-flame heating.

The effects of animal fats and model fat on the formation of PAHs were valued on the basis of the ultra high-performance liquid chromatography data. The corresponding products of the FAME pyrolysis were detected by TG-FTIR. The proposal formation mechanism of PAHs was based on the summary of the literature.

Contrary to the International Agency for Research on Cancer, DF had higher risk with 280.53 ng/g of concentration after being roasted than the others animal fats of red meat in terms of PAHs formation. This research also ensured the importance of fat on PAHs formation, the concentration of PAHs in pure fats was higher after being electric roasted than that in meat patties and juice which made from corresponding animal fat. What is more, during pure animal fats and meat products being processed, less PAHs formed in the fat with lower extent of unsaturation and lower content of linolenate. In the same way, methyl linolenate demonstrated the significant increasement to PAHs formation compared to the other fatty acids. And, the number of carbon atom and the extent of unsaturation in fatty acid affects the formation of PAHs during roasting. The detection of alkene and alkane allows to propose a formation mechanism of PAHs during model fat being heated. Further study is required to elucidate the confirm moleculars during the formation of PAHs.

This work studied the effect of the carbon atom number and the unsaturation extent of fats and model fats on the formation of PAHs. This work also assure the important of alkene and alkane on the pyrolysis of model fats. This study also researched the formation and distribution of PAHs in pure fats and meat products after being heated.

The automated defect detection of jacquard fabrics is intuitively appealing to the textile industry but as yet there has been little in-depth research in this field. In this paper, we introduce a defect detection method for use on jacquard fabrics that is based on multiple color-channel analysis. According to the number of color yarns employed, a number of color channels can be extracted from an arbitrary jacquard fabric. Images of each color channel are patterned. By first separating the color channel of an input test fabric image, and then eliminating noise and applying a pattern extraction process, it is possible to produce a set of channel patterns. To characterize each defined defect, we introduce a pattern comparison method which makes use of Fourier transform and frequency spectrum analysis. In experiments, this method efficiently and precisely detected defects in test fabrics and provided relevant information about defects such as the defect category and which color yarns are involved in the defect.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Boards of Directors of technology corporations should consider whether their top management teams have a promotion or prevention focused approach, favoring the former if competitive advantage is being sought.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

This study aims to examine the impact of the regulatory focus of the top management team (TMT) members on the technological diversification of firms in high-technology industries based on the upper echelons theory and regulatory focus theory and explore the moderating effect of environmental uncertainty.

This paper uses data on the Chinese Growth Enterprises Market Board (GEM)-listed companies from 2012 to 2016. The authors collected data on TMT regulatory focus from firms’ annual reports by Python programming. A fixed-effects model was used to test our hypotheses.

Results indicate that TMTs with a high promotion focus are associated with greater technological diversification, while TMTs with a high prevention focus are linked to lower technological diversification. Moreover, environmental uncertainty amplifies the positive relationship between promotion-focused TMTs and technological diversification, while it diminishes the negative relationship between prevention-focused TMTs and technological diversification.

This study is limited to high-technology firms listed on the Chinese GEM, which may restrict the generalizability of the findings. Future research could validate these results in different countries and industries to enhance their robustness. Additionally, this study focuses on the impact of TMT regulatory focus on technological diversification; future studies could explore its influence on other strategic decisions, such as digital transformation or innovation strategies.

The results suggest that firms should carefully consider the regulatory focus of their TMT when making strategic decisions regarding technological diversification. Boards of directors should ensure that the TMT’s regulatory focus aligns with the firm’s strategic objectives, particularly in high-technology industries. Moreover, firms should adapt their strategies to the level of environmental uncertainty to better navigate the risks and opportunities presented by a dynamic market environment.

Supportive evidence allows authors to discuss how our findings contribute to the upper echelons theory, as well as the emerging stream of firm technological diversification, which provided valuable psychological insights into the factors influencing TMT strategic decision-making. Meanwhile, this paper integrates the factors of the industry macro-environment to explore the changes in the TMT regulatory focus on firm technological diversification under different contexts.

Brand storytelling is an effective marketing tool. However, when choosing whether to tell more or tell less, it remains unclear which of these two narrative styles is most effective. This study aims to examine whether blank-leaving(less) leads to favourable brand attitudes and compares its effects on consumers’ story immersion, to non-blank-leaving(more).

Two experiments were conducted to test the hypotheses. In Study 1, a single-factorial design was used with 252 participants assigned at random to one of two narrative conditions: blank-leaving or non-blank-leaving. Study 2 replicated Study 1 and investigated the moderating role of implicit mindsets.

The results show that a blank-leaving narrative style increases favourable brand attitudes. Consumers present deeper immersion in the brand story that uses blank-leaving, as compared to non-blank-leaving, leading to a more favourable brand attitude. Furthermore, this effect is stronger for individuals with growth mindsets.

Telling the brand story using a blank-leaving narrative style is more effective in catching consumers’ attention than non-blank-leaving. In particular, a blank-leaving narrative is a good approach for targeting consumers who have a growth mindset.

To the best of the authors’ knowledge, this research is the first to investigate and compare the effects of blank-leaving and non-blank-leaving narrative styles on brand attitudes in the context of storytelling marketing.

The purpose of this study is to explore the factors impacting information poverty in western China and investigate to what extent these determinants contribute to information poverty in these areas.

Structural equation modeling (SEM) technique was used to analyze 232 valid responses collected from a survey to examine the research model and hypotheses in this study.

The results indicate that information literacy, information supply and information and communication technologies (ICTs) positively and significantly affect information poverty, while social prejudice and information orientation had no significant effects on information poverty.

Public libraries, government departments and other institutions should pay attention to the significant impact of information literacy, information supply and ICTs on information poverty and formulate corresponding systems and policies to alleviate or reduce information poverty.

In the past, few studies have focused on information poverty in western China and most of the existing research on information poverty adopts qualitative research methods, such as interview, systematic literature review and so on, while quantitative research is rare. In addition, the focus of these research studies was on one or two aspects, and a few of them can systematically study the influencing factors of information poverty. Inspired by the theories of information literacy, social prejudice and information poverty, this study comprehensively used a questionnaire survey and SEM to investigate the influences of information literacy, social prejudice, information supply, information orientation and ICTs on information poverty.

This paper aims to review the studies on intersection control with connected and automated vehicles (CAVs).

The most seminal and recent research in this area is reviewed. This study specifically focuses on two categories: CAV trajectory planning and joint intersection and CAV control.

It is found that there is a lack of widely recognized benchmarks in this area, which hinders the validation and demonstration of new studies.

In this review, the authors focus on the methodological approaches taken to empower intersection control with CAVs. The authors hope the present review could shed light on the state-of-the-art methods, research gaps and future research directions.

The authors examine psychologically informed coaching approaches for evidence-based work-applied management through a meta-analysis. This analysis synthesized previous empirical coaching research evidence on cognitive behavioral and positive psychology frameworks regarding a range of workplace outcomes, including learning, performance and psychological well-being.

The authors undertook a systematic literature search to identify primary studies (k = 20, n = 957), then conducted a meta-analysis with robust variance estimates (RVEs) to test the overall effect size and the effects of each moderator.

The results confirm that psychologically informed coaching approaches facilitated effective work-related outcomes, particularly on goal attainment (g = 1.29) and self-efficacy (g = 0.59). Besides, these identified coaching frameworks generated a greater impact on objective work performance rated by others (e.g. 360 feedback) than on coachees' self-reported performance. Moreover, a cognitive behavioral-oriented coaching process stimulated individuals' internal self-regulation and awareness to promote work satisfaction and facilitated sustainable changes. Yet, there was no statistically significant difference between popular and commonly used coaching approaches. Instead, an integrative coaching approach that combines different frameworks facilitated better outcomes (g = 0.71), including coachees' psychological well-being.

Effective coaching activities should integrate cognitive coping (e.g. combining cognitive behavioral and solution-focused technique), positive individual traits (i.e. strength-based approach) and contextual factors for an integrative approach to address the full range of coachees' values, motivators and organizational resources for yielding positive outcomes.

Building on previous meta-analyses and reviews of coaching, this synthesis offers a new insight into effective mechanisms to facilitate desired coaching results. Frameworks grounded in psychotherapy and positive appear most prominent in the literature, yet an integrative approach appears most effective.

This study establishes a set of seafood processing circular supply chain capabilities (CSCCs) in Vietnam using qualitative data analytics. This study specifies the interrelationships and hierarchical structure comprising six aspects and 24 criteria for the seafood processing circular supply chain in Vietnam.

Fuzzy Delphi method is used to confirm the validity. Fuzzy set theory is used to deal with the complexity and uncertainties from the qualitative information. The decision-making trial and evaluation laboratory method is used to examine the interrelationships among attributes. The analytical network process segregates (or displays) the capabilities in a hierarchical structure.

The results show that management control and technological capability dominate in circular design, circular sourcing, circular production and resource recovery. In practices, the strategic planning, action planning, information technology and technological facilities are important to seafood processing industry.

The CSCCs are pivotal in establishing a concrete foundation for the execution of circular supply chain management, with the aim of optimizing resource utilization and eliminating waste; however, prior studies have lacked a focus on the capability associated interrelationships and hierarchical structure in qualitative data analytics.

The purpose of this study is to investigate the effects of stud height, stud diameter, ultimate stress of stud and concrete strength on the static behaviour of studs in push-off tests based on the ductile fracture theory.

Push-off tests of headed stud shear connectors with different heights and diameters used in concrete of various strengths were designed and implemented. A finite element model was established based on a ductile fracture criterion of ML15 cold-heading steel with stress triaxiality and Lode angle parameter. Based on the results of the parametric study of the numerical model, equations were proposed to evaluate the effect of stud height h_s, stud area A_s, concrete strength f_c and stud ultimate strength f_su used in concrete of various strengths on the static behaviour of studs.

The typical failure phenomenon observed among the test specimens was the fracture of the shank of studs. The microscopic images of the stud fracture surfaces and the verified finite element model indicate that the studs were fractured as a result of the combined action of tension and shear.

A new method for calculating ultimate load P_u and ultimate slip S_u is proposed in this paper. In the method, P_u is linearly related to f_su^0.2143, A_s^0.7790, h_s^0.0974, f_c^0.2065. S_u is linearly related to f_su^1.078, A_s^0.4681, h_s^(−0.3135), f_c^(−0.3480).