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The purpose of this study is to solve the issues of time-consuming and complicated computation of traditional measures, as well as the underutilization of two-dimensional (2D) phase-trajectory projection matrix, so a new set of features were proposed based on the projection of attractors trajectory to characterize the friction-induced attractors and to reveal the tribological behavior during the running-in process.

The frictional running-in experiments were conducted by sliding a ball against a static disk, and the friction coefficient was collected to reconstruct the friction-induced attractors. The projection of the attractors in 2D subspace was then mapped and the distribution of phase points was adapted to conduct the feature extraction.

The evolution of the proposed moment measures could be described as “initial rapid decrease/increase- midterm gradual decrease/increase- finally stable,” which could effectively reveal the convergence degree of the friction-induced attractors. Moreover, the measures could also describe the relative position of the attractors in phase–space domain, which reveal the amplitude evolution of signals to some extent.

The proposed measures could reveal the evolution of tribological behaviors during the running-in process and meet the more precise real-time running-in status identification.

This study aims to synthesize Prussian blue {Fe^III₄[Fe^II(CN)₆]₃} pigment by reacting ferric chloride with different ferrocyanides through the same procedure. The influence of the ferrocyanide used on resulting pigment properties is studied.

Prussian blue is commonly synthesized by direct or indirect methods, through iron salt and ferrocyanide/ferricyanide reactions. In this study, the direct, single-step process was pursued by dropwise addition of the ferrocyanide into ferric chloride (both as aqueous solutions). Two batches – (K-PB) and (Na-PB) – were prepared by using potassium ferrocyanide and sodium ferrocyanide, respectively. The development of pigment was confirmed by an identification test and characterized by spectroscopic techniques. Pigment properties were determined, and light fastness was observed for acrylic emulsion films incorporating dispersed pigment.

The two pigments differed mainly in elemental detection owing to the dissimilar ferrocyanide being used; IR spectroscopy where only (Na-PB) showed peaks indicating water molecules; and bleeding tendency where (K-PB) was water soluble whereas (Na-PB) was not. The pigment exhibited remarkable blue colour and good bleeding resistance in several solvents and showed no fading in 24 h of light exposure though oil absorption values were high.

This article is a comparative study of Prussian blue pigment properties obtained using different ferrocyanides. The dissimilarity in the extent of water solubility will influence potential applications as a colourant in paints and inks. K-PB would be advantageous in aqueous formulations to confer a blue colour without any dispersing aid but unfavourable in systems where other coats are water-based due to their bleeding tendency.

This paper investigates the significant increase in S corporation banks converting to C corporations following the 2017 Tax Cuts and Jobs Act (TCJA) and the shift in motivations behind these conversions.

The paper uses bank-level panel data from Federal Deposit Insurance Corporation (FDIC) Call Reports to analyze the determinants of S bank conversions after the TCJA, comparing post-TCJA conversion trends with pre-TCJA trends utilizing an ordinary least squares (OLS) and logistics model.

The study finds that post-TCJA conversions are primarily driven by financially stable banks seeking improved tax conditions and relaxed shareholder restrictions as C corporations. This contrasts with pre-TCJA conversions, which were predominantly driven by financially distressed S corporation banks seeking new equity capital to maintain solvency.

The findings necessitate a comprehensive reconsideration of the Subchapter S status' sustained relevance for smaller institutions, especially in light of the comparative benefits now offered by the C corporation status post-TCJA. The results underscore the importance of ongoing academic investigation to deepen the understanding of the evolving fiscal landscape's effects on community banks, thereby contributing to the knowledge of the resilience and health of the US economy.

This research nudges policymakers and regulators to contemplate the ongoing relevance and advantages of the S corporation status. Given the substantial benefits conferred by the C corporation status in the post-TCJA environment, this study suggests that retaining the S corporation status may not offer the same appeal for smaller community banks as it once did.

This paper contributes to the broader understanding of the impact of tax policy on businesses' organizational choices, particularly in the banking industry and emphasizes the need for a comprehensive review of the S corporation status to assess its ongoing applicability in fostering small and community-focused financial institutions in light of the evolved corporate tax landscape.

The purpose of this paper is to optimize the key parameters (mesh count, paper type and ink type) in screen printing, which are affecting the printed ink volume. The objective of the optimization was to maximize the color reliability by decreasing the color difference (ΔE value) of the prints while minimizing the ink consumption. Screen printing is still dominating the printing industry to make cost-effective production when high volumes are needed.

The experiment was designed using the Taguchi method, and the samples were prepared with screen-printing by using the standard squeegee angle and pressure. The effect of mesh count, ink type and paper type on ink consumption was evaluated with using analysis of variances and main effects plots of S/N ratio and standard deviation.

The factors ink type, paper type and mesh count were found significant for ink consumption due to their Probability (P) values which were lower than 0.05. It was determined that the mesh count was the most critical variable with the analysis of variance. The analysis showed that the selection of an optimum mesh count was the key to controlling the amount of the deposited ink. Although mesh counts were inversely proportional with the ink consumptions, they did not affect the color differences as expected.

The optimization of process parameters, that are most effective on the print quality, is necessary to minimize the ink usage and lower the costs and environmental impact without exceeding the desired ΔE value limits.

This study aims to explore how to overcome and address the loss of exploratory innovation, thereby achieving greater success in exploratory innovation. This phenomenon of loss occurs when enterprises decrease their investment in and engagement with exploratory innovation, ultimately leading to an insufficient amount of such innovation efforts. Drawing on dynamic capabilities, this study investigates the relationship between organizational foresight and exploratory innovation and examines the moderating role of breakthrough orientation/financial orientation.

This study used survey data collected from 296 Chinese high-tech companies in multiple industries and sectors.

The evidence produced by this study reveals that three elements of organizational foresight (i.e. environmental scanning capabilities, strategic selection capabilities and integrating capabilities) positively influence exploratory innovation. Furthermore, this positive effect is strengthened in the context of a high-breakthrough orientation. Moreover, the relationships among environmental scanning capabilities, strategic selection capabilities and exploratory innovation become weaker as an enterprise’s financial orientation increases, whereas a strong financial orientation does not affect the relationship between integrating capabilities and exploratory innovation.

Ambidexterity is key to successful enterprise innovation. Compared with exploitative innovation, it is by no means easy to engage in exploratory innovation, which is especially important in high-tech companies. While the loss of exploratory innovation has been observed, few empirical studies have explored ways to promote exploratory innovation more effectively. A key research implication of this study pertains to the role of organizational foresight in the improvement of exploratory innovation in the context of high-tech companies.

This paper contributes to the broader literature on exploratory innovation and organizational foresight and provides practical guidance for high-tech companies regarding ways of avoiding the loss of exploratory innovation and becoming more successful at exploratory innovation.

This study aims to examine a second-order latent variable of family functioning built from two established protective factors for American Indian (AI) youth, i.e. family cohesion and parental monitoring. This study then examines if family functioning is related to alcohol use frequency or age of initiation for AI youth. Additionally, this study examines if family functioning served as a moderator for the risk factor of peer alcohol use.

Data came from the 2021 Our Youth, Our Future survey. Participants were 4,373 AI adolescents from Grades 6–12 across the contiguous USA. Structural equation modeling (SEM) was used to test the latent variable of family functioning. Structural paths and interaction terms between peer use and family functioning were added to the SEM to explore direct and moderating effects.

Family cohesion and parental monitoring were best represented by a second-order latent variable of family functioning, which was related to later initiation and lower alcohol use frequency.

The findings regarding the initiation of alcohol use may be applicable to prevention programs, with family functioning serving as a protective factor for the initiation of alcohol use. Programs working toward alcohol prevention may be best served by focusing on family-based programs.

The latent variable of family functioning is appropriate for use in AI samples. Family functioning, which is an inherent resilience factor in AI communities, was shown to be protective against harmful alcohol use behaviors.

Disasters continue to be most prevalent and severe for marginalised communities. To reach those furthest behind first, as the global community pledges in the 2030 Agenda, a critical assessment of equity in disaster risk governance is necessary. Yet, the understanding of factors that mediate the capacity of the governance processes to achieve equity ambitions is limited. This paper addresses this gap by proposing and testing a conceptual framework to assess equity in disaster risk governance.

The framework analyses the extent to which institutional relationships and data in risk governance support inclusion and diversity of voice and enable the equitable engagement of communities. The study applied the framework to key risk policies across governance levels in Brazil and Colombia.

The study finds that institutional awareness of cross-sectoral and -scalar coordination clearly exists. Yet, the engagement of actors further down the governance scale is framed reactively at all scales in both countries. The analysis of the risk data practices indicates that although data integration and sharing are key policy priorities, the policies frame the relations of disaster risk data actors as hierarchical, with data needs determined from the top down.

A key contribution of this framework is that its equity view results in a nuanced analysis, thus pointing to the differences between the two countries concerning the factors that mediate these challenges and providing specific entry points for strengthening equity in risk governance policies.