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Due to ongoing inequities in the social determinants of health and systemic barriers, homelessness continues to be a significant concern that disproportionately impacts racialized communities. Despite constituting a small proportion of the population, Black individuals are over-represented among people experiencing homelessness in many Canadian cities. However, although Black homelessness in Canada is a pressing issue, it has received limited attention in the academic literature. The purpose of this paper is to examine the reported prevalence of Black homelessness across Canada.

By consulting enumerations from 61 designated communities that participated in the 2018 Nationally Coordinated Point-in-Time Count and two regional repositories – one for homeless counts supported by the government of British Columbia and another from the Rural Development Network – this paper reports on the scale and scope of Black homelessness across Canada.

Significantly, these reports demonstrate that Black people are over-represented among those experiencing homelessness compared to local and national populations. These enumerations also demonstrate significant gaps in the reporting of Black homelessness and inadequate nuance in data collection methods, which limit the ability of respondents to describe their identity beyond “Black.”

This research provides an unprecedented examination of Black homelessness across Canada and concludes with recommendations to expand knowledge on this important and under-researched issue, provide suggestions for future iterations of homeless enumerations and facilitate the development of inclusive housing policy.

In daily marketing practices, when launching and promoting new products, marketers often induce consumers’ awe of nature via exposing consumers to beautiful natural scenes. Does this marketing practice really facilitate consumers’ subsequent new product choice? Existing awe research and new product research have not examined this issue yet. The purpose of this study is to study whether the marketing practice of awe induction faciliates consumers' new product choice.

This paper examines the double-edged sword effect of different types of awe on consumers’ adoption of new products. The authors conducted five experiments using various product categories (soft drinks, juices, cookies and watches), various many sources of sample types (college student samples and adult samples) and various manipulation of awe. The authors also focused on both new products with incongruent visual appearance (Experiment 1a, Experiment 1c, Experiment 2 and Experiment 3) and new products with incongruent conceptual attributes (Experiment 1b) to enhance the rigor of the experiments and the generalizability of the conclusions.

The authors find that when consumers perceive awe of threatening natural phenomena, they decrease their choice of moderately incongruent new products (positive effect), while when consumers perceive awe of beautiful natural phenomena, they increase their choice of moderately incongruent new products (negative effect). Also, this paper finds that the emergence of the positive of the double-edged sword effect is driven by the sequential mediation of the need for accommodation and openness to new experiences, while the emergence of the negative of the double-edged sword effect is driven by the uncertainty reduction motive.

This research has important theoretical implications. First, this paper advances existing awe research by reconciling the inconsistent findings in existing awe research by categorizing awe of nature. Second, this paper advances existing research on new products and moderate incongruity effects by exploring when the moderate incongruity effect exists and when it reverses in the new products field through the classification of awe of nature.

This study has rich implications for marketing management. First, marketers can facilitate consumers’ adoption of moderate incongruent new product via priming consumers’ awe of beautiful nature. Second, this paper suggests that marketers and brand managers should carefully choose the timing of new product launches to avoid inducing consumer awe of threatening nature (e.g. immediately after a severe natural disaster). Finally, the results of Experiment 3 in this paper suggest that when marketers want to launch new products with moderate incongruity, they need to target consumers with high cognitive flexibility.

This paper discusses how different types of awe affect consumers’ attitudes and choice of moderately new products. This research question has its social value in helping marketers, companies, consumers and society know the power of awe of nature on the behaviors and decision-making.

To the best of the author’s knowledge, this paper is among the first ones to examine the double-edged sword effect of different types of awe of nature on consumers’ new product adoption.

The purpose of this paper is to introduce an improved system identification method for small unmanned helicopters combining adaptive ant colony optimization algorithm and Levy’s method and to solve the problem of low model prediction accuracy caused by low-frequency domain curve fitting in the small unmanned helicopter frequency domain parameter identification method.

This method uses the Levy method to obtain the initial parameters of the fitting model, uses the global optimization characteristics of the adaptive ant colony algorithm and the advantages of avoiding the “premature” phenomenon to optimize the initial parameters and finally obtains a small unmanned helicopter through computational optimization Kinetic models under lateral channel and longitudinal channel.

The algorithm is verified by flight test data. The verification results show that the established dynamic model has high identification accuracy and can accurately reflect the dynamic characteristics of small unmanned helicopter flight.

This paper presents a novel and improved frequency domain identification method for small unmanned helicopters. Compared with the conventional method, this method improves the identification accuracy and reduces the identification error.

Warren Nutter and James M. Buchanan did not revise “Universal Education” to turn against providing tuition grants to segregated schools in 1965. Their revised text contains no call to expel segregation academies from the tuition grant program and does not even express disapproval of the goals or the work of segregation academies. Recent claims to that effect by Fleury (2023) and Levy and Peart (2023) cannot be sustained by either textual or contextual evidence.

The purpose of this paper is to investigate the free vibration response of a laminated honeycomb sandwich panels (LHSP) for aerospace applications. Higher order shear deformation theory (HSDT) was simplified for the dynamic analysis of LHSP. Furthermore, the effects of honeycomb parameters on the value of natural frequency (NF) of vibration were explored.

This paper applies HSDT to the analysis of composite LHSP to derive four vibration differential equations of motion and solve it to find the NF of vibration. Two analytical models (Nayak and Meunier models) were selected from literature for comparison of the NF of vibration. In addition, a numerical model was built by using ABAQUS and the results were compared. Furthermore, parametric studies were conducted to explore the effect of honeycomb parameters on the value of the NF of vibration.

The present model is successful in simplifying HSDT for the analysis of LHSP. The first five natural frequencies of vibration were calculated analytically and numerically. In the parametric study, increasing core height or young’s modulus or changing laminate layup will increase the value of NF of vibration. Furthermore, increasing plate constraint (using clamped edge boundary condition) will increase the value of NF of vibrations.

The current analysis is suitable for all-composite symmetric LHSP. However, for isotropic or non-symmetric materials, minor modifications might be adopted.

The application of simplified HSDT to the analysis of LHSP is one of the important values of this research. The other is the successful and complete dynamic analysis of all-composite LHSP.

In countries where the electronic levy (e-levy) has been implemented, one question that resonates with the populace is, “how much would you want to pay for e-levy per transaction?” In response, varied perspectives have been shared with no convergence. Against this background, this study seeks to estimate people's willingness to pay (WTP) for electronic transaction levy in Ghana, while analysing the associated determinants.

This study relies on a survey of 2,810 respondents obtained from February 9 to 16, 2022 in Ghana. A multivariate logit model was estimated with its marginal effects. Further, a robustness check was undertaken using the linear probability model to validate the results.

With respect to the sample, the authors find evidence that approximately 46% of the respondents are not willing to pay any amount per transaction for the e-levy. Second, about 21% of the respondents are willing to pay Ghs0.5% as e-levy per transaction. Furthermore, about 10% of the respondents are willing to pay 1% per transaction as e-levy. Those who indicated that they would pay rates above 1% (specifically, 1.50%–1.75%) per transaction are less than 5%. For flat rates, approximately 10% of the respondents were willing to pay Ghs5 per month for all transactions above Ghs100. All others who are interested in other flat rates together are less than 5% of the respondents. The key statistically significant determinants of the probability that an individual would be willing to pay for the e-levy are also provided. This study recommends a comprehensive dialogue between the government and all stakeholders to reach a reasonable conclusion on an acceptable e-levy rate and by extension, implementation strategies.

To the best of the researchers' knowledge, this is the first empirical study that estimates individuals' willingness to pay for e-levy on electronic transactions in a developing country.

The main motivation of this paper is to present  the Yosida approximation of a semi-linear backward stochastic differential equation in infinite dimension. Under suitable assumption and condition, an L²-convergence rate is established.

The authors establish a result concerning the L²-convergence rate of the solution of backward stochastic differential equation with jumps with respect to the Yosida approximation.

The authors carry out a convergence rate of Yosida approximation to the semi-linear backward stochastic differential equation in infinite dimension.

In this paper, the authors present the Yosida approximation of a semi-linear backward stochastic differential equation in infinite dimension. Under suitable assumption and condition, an L²-convergence rate is established.

Studying the effect of social media advertising on consumer engagement, this study analyzes the impact of shared-experience versus personal message strategies, informational versus transformational creative appeals and low-involvement products versus high-involvement products. It aims to determine how best to combine ad elements to affect consumer engagement on different levels.

Using an online survey among 448 Facebook users, an experimental factorial design of 2 (message strategy conditions) X 2 (creative appeal conditions) X 2 (product types: TV vs. frozen pizza) was used. Each advertisement was evaluated on three facets of engagement: cognitive, psychological and behavioral.

Results indicate that informational appeal is preferable for all conditions. The effectiveness of message strategy differs by product type, and interactions between message and appeal are significant only for the high-involvement product. Additionally, it indicates that message strategy is most significant in affecting behavioral engagement and not necessarily cognitive or psychological engagement.

To develop effective Facebook ads, practitioners should use a personal/informational combination when working with high-involvement products and a shared-experience/informational combination when working with low-involvement products.

An original grid for integrating message strategy and creative appeal is constructed in this paper. Besides behavioral engagement, it also evaluates cognitive and psychological engagement. By comparing products with a high and low involvement level, it provides marketers with actionable recommendations to increase social media campaign effectiveness.