Grand Valley State University

The metaverse has the potential to extend the physical world using augmented and virtual reality technologies allowing users to seamlessly interact within real and simulated environments using avatars and holograms. Virtual environments and immersive games (such as, Second Life, Fortnite, Roblox and VRChat) have been described as antecedents of the metaverse and offer some insight to the potential socio-economic impact of a fully functional persistent cross platform metaverse. Separating the hype and “meta…” rebranding from current reality is difficult, as “big tech” paints a picture of the transformative nature of the metaverse and how it will positively impact people in their work, leisure, and social interaction. The potential impact on the way we conduct business, interact with brands and others, and develop shared experiences is likely to be transformational as the distinct lines between physical and digital are likely to be somewhat blurred from current perceptions. However, although the technology and infrastructure does not yet exist to allow the development of new immersive virtual worlds at scale - one that our avatars could transcend across platforms, researchers are increasingly examining the transformative impact of the metaverse. Impacted sectors include marketing, education, healthcare as well as societal effects relating to social interaction factors from widespread adoption, and issues relating to trust, privacy, bias, disinformation, application of law as well as psychological aspects linked to addiction and impact on vulnerable people. This study examines these topics in detail by combining the informed narrative and multi-perspective approach from experts with varied disciplinary backgrounds on many aspects of the metaverse and its transformational impact. The paper concludes by proposing a future research agenda that is valuable for researchers, professionals and policy makers alike.

Latent class analysis (LCA) is a statistical procedure used to identify qualitatively different subgroups within populations who often share certain outward characteristics. The assumption underlying LCA is that membership in unobserved groups (or classes) can be explained by patterns of scores across survey questions, assessment indicators, or scales. The application of LCA is an active area of research and continues to evolve. As more researchers begin to apply the approach, detailed information on key considerations in conducting LCA is needed. In the present article, we describe LCA, review key elements to consider when conducting LCA, and provide an example of its application.

One century after its formulation, Einstein's general relativity has made remarkable predictions and turned out to be compatible with all experimental tests. Most of these tests probe the theory in the weak-field regime, and there are theoretical and experimental reasons to believe that general relativity should be modified when gravitational fields are strong and spacetime curvature is large. The best astrophysical laboratories to probe strong-field gravity are black holes and neutron stars, whether isolated or in binary systems. We review the motivations to consider extensions of general relativity. We present a (necessarily incomplete) catalog of modified theories of gravity for which strong-field predictions have been computed and contrasted to Einstein's theory, and we summarize our current understanding of the structure and dynamics of compact objects in these theories. We discuss current bounds on modified gravity from binary pulsar and cosmological observations, and we highlight the potential of future gravitational wave measurements to inform us on the behavior of gravity in the strong-field regime.

We conducted preregistered replications of 28 classic and contemporary published findings, with protocols that were peer reviewed in advance, to examine variation in effect magnitudes across samples and settings. Each protocol was administered to approximately half of 125 samples that comprised 15,305 participants from 36 countries and territories. Using the conventional criterion of statistical significance ( p < .05), we found that 15 (54%) of the replications provided evidence of a statistically significant effect in the same direction as the original finding. With a strict significance criterion ( p < .0001), 14 (50%) of the replications still provided such evidence, a reflection of the extremely high-powered design. Seven (25%) of the replications yielded effect sizes larger than the original ones, and 21 (75%) yielded effect sizes smaller than the original ones. The median comparable Cohen’s ds were 0.60 for the original findings and 0.15 for the replications. The effect sizes were small (< 0.20) in 16 of the replications (57%), and 9 effects (32%) were in the direction opposite the direction of the original effect. Across settings, the Q statistic indicated significant heterogeneity in 11 (39%) of the replication effects, and most of those were among the findings with the largest overall effect sizes; only 1 effect that was near zero in the aggregate showed significant heterogeneity according to this measure. Only 1 effect had a tau value greater than .20, an indication of moderate heterogeneity. Eight others had tau values near or slightly above .10, an indication of slight heterogeneity. Moderation tests indicated that very little heterogeneity was attributable to the order in which the tasks were performed or whether the tasks were administered in lab versus online. Exploratory comparisons revealed little heterogeneity between Western, educated, industrialized, rich, and democratic (WEIRD) cultures and less WEIRD cultures (i.e., cultures with relatively high and low WEIRDness scores, respectively). Cumulatively, variability in the observed effect sizes was attributable more to the effect being studied than to the sample or setting in which it was studied.

Understanding the sensitivity of tundra vegetation to climate warming is critical to forecasting future biodiversity and vegetation feedbacks to climate. In situ warming experiments accelerate climate change on a small scale to forecast responses of local plant communities. Limitations of this approach include the apparent site-specificity of results and uncertainty about the power of short-term studies to anticipate longer term change. We address these issues with a synthesis of 61 experimental warming studies, of up to 20 years duration, in tundra sites worldwide. The response of plant groups to warming often differed with ambient summer temperature, soil moisture and experimental duration. Shrubs increased with warming only where ambient temperature was high, whereas graminoids increased primarily in the coldest study sites. Linear increases in effect size over time were frequently observed. There was little indication of saturating or accelerating effects, as would be predicted if negative or positive vegetation feedbacks were common. These results indicate that tundra vegetation exhibits strong regional variation in response to warming, and that in vulnerable regions, cumulative effects of long-term warming on tundra vegetation - and associated ecosystem consequences - have the potential to be much greater than we have observed to date.

For schools to include quality STEM education, it is important to understand teachers’ beliefs and perceptions related to STEM talent development. Teachers, as important persons within a student’s talent development, hold prior views and experiences that will influence their STEM instruction. This study attempts to understand what is known about teachers’ perceptions of STEM education by examining existing literature. Study inclusion criteria consisted of empirical articles, which aligned with research questions, published in a scholarly journal between 2000 and 2016 in English. Participants included in primary studies were preK-12 teachers. After quality assessment, 25 articles were included in the analysis. Thematic analysis was used to find themes within the data. Findings indicate that while teachers value STEM education, they reported barriers such as pedagogical challenges, curriculum challenges, structural challenges, concerns about students, concerns about assessments, and lack of teacher support. Teachers felt supports that would improve their effort to implement STEM education included collaboration with peers, quality curriculum, district support, prior experiences, and effective professional development. Recommendations for practice include quality in-service instruction over STEM pedagogy best practices and district support of collaboration time with peer teachers. Recommendations for future research are given.

The master cytokine TGF-β mediates tissue fibrosis associated with inflammation and tissue injury. TGF-β induces fibroblast activation and differentiation into myofibroblasts that secrete extracellular matrix proteins. Canonical TGF-β signaling mobilizes Smad2 and Smad3 transcription factors that control fibrosis by promoting gene expression. However, the importance of TGF-β-Smad2/3 signaling in fibroblast-mediated cardiac fibrosis has not been directly evaluated in vivo. Here, we examined pressure overload-induced cardiac fibrosis in fibroblast- and myofibroblast-specific inducible Cre-expressing mouse lines with selective deletion of the TGF-β receptors Tgfbr1/2, Smad2, or Smad3. Fibroblast-specific deletion of Tgfbr1/2 or Smad3, but not Smad2, markedly reduced the pressure overload-induced fibrotic response as well as fibrosis mediated by a heart-specific, latency-resistant TGF-β mutant transgene. Interestingly, cardiac fibroblast-specific deletion of Tgfbr1/2, but not Smad2/3, attenuated the cardiac hypertrophic response to pressure overload stimulation. Mechanistically, loss of Smad2/3 from tissue-resident fibroblasts attenuated injury-induced cellular expansion within the heart and the expression of fibrosis-mediating genes. Deletion of Smad2/3 or Tgfbr1/2 from cardiac fibroblasts similarly inhibited the gene program for fibrosis and extracellular matrix remodeling, although deletion of Tgfbr1/2 uniquely altered expression of an array of regulatory genes involved in cardiomyocyte homeostasis and disease compensation. These findings implicate TGF-β-Smad2/3 signaling in activated tissue-resident cardiac fibroblasts as principal mediators of the fibrotic response.

Perceived support is consistently linked to good mental health, which is typically explained as resulting from objectively supportive actions that buffer stress. Yet this explanation has difficulty accounting for the often-observed main effects between support and mental health. Relational regulation theory (RRT) hypothesizes that main effects occur when people regulate their affect, thought, and action through ordinary yet affectively consequential conversations and shared activities, rather than through conversations about how to cope with stress. This regulation is primarily relational in that the types of people and social interactions that regulate recipients are mostly a matter of personal taste. RRT operationally defines relationships quantitatively, permitting the clean distinction between relationships and recipient personality. RRT makes a number of new predictions about social support, including new approaches to intervention.

Augmented Reality (AR), Virtual Reality (VR), Mixed Reality, and Extended Reality (often – misleadingly – abbreviated as XR) are commonly used terms to describe how technologies generate or modify reality. However, academics and professionals have been inconsistent in their use of these terms. This has led to conceptual confusion and unclear demarcations. Inspired by prior research and qualitative insights from XR professionals, we discuss the meaning and definitions of various terms and organize them in our proposed framework. As a result, we conclude that (1) XR should not be used to connote extended reality, but as a more open approach where the X implies the unknown variable: xReality; (2) AR and VR have fundamental differences and thus should be treated as different experiences; (3) AR experiences can be described on a continuum ranging from assisted reality to mixed reality (based on the level of local presence); and (4), VR experiences can be conceptualized on a telepresence-continuum ranging from atomistic to holistic VR.

Abstract The initial hype and fanfare from the Meta Platforms view of how the metaverse could be brought to life has evolved into an ongoing discussion of not only the metaverse's impact on users and organizations but also the societal and cultural implications of widespread usage. The potential of consumer interaction with brands within the metaverse has engendered significant debate within the marketing‐focused discourse on the key challenges and transformative opportunities for marketers. Drawing on insights from expert contributors, this study examines the marketing implications of the hypothetical widespread adoption of the metaverse. We identify new research directions and propose a new framework offering valuable contributions for academia, practice, and policy makers. Our future research agenda culminates in a checklist for researchers which clarifies how the metaverse can be beneficial to digital marketing and advertising, branding, services, value creation, and consumer wellbeing.

This article brings together two case studies that examine how nontransgender people, “gender normals,” interact with transgender people to highlight the connections between doing gender and heteronormativity. By contrasting public and private interactions that range from nonsexual to sexualized to sexual, the authors show how gender and sexuality are inextricably tied together. The authors demonstrate that the criteria for membership in a gender category are significantly different in social versus (hetero)sexual circumstances. While gender is presumed to reflect biological sex in all social interactions, the importance of doing gender in a way that represents the shape of one's genitals is heightened in sexual and sexualized situations. Responses to perceived failures to fulfill gender criteria in sexual and sexualized relationships are themselves gendered; men and women select different targets for and utilize gendered tactics to accomplish the policing of supposedly natural gender boundaries and to repair breaches to heteronormativity.

Abstract Microbial decomposition processes are typically described using first‐order kinetics, and the effect of elevated temperature is modeled as an increase in the rate constant. However, there is experimental data to suggest that temperature increases the pool size of substrate C available for microbial respiration with little effect on first‐order rate constants. We reasoned that changes in soil temperature alter the composition of microbial communities, wherein dominant populations at higher temperatures have the ability to metabolize substrates that are not used by members of the microbial community at lower temperatures. To gain insight into changes in microbial community composition and function following soil warming, we used molecular techniques of phospholipid fatty acid (PLFA) and lipopolysaccharide fatty acid (LPS‐OHFA) analysis and compared the kinetics of microbial respiration for soils incubated from 5 to 25°C. Substrate pools for microbial respiration and the abundance of PLFA and LPS‐OHFA biomarkers for Gram‐positive and Gram‐negative bacteria differed significantly among temperature treatments, providing evidence for a shift in the function and composition of microbial communities related to soil warming. We suggest that shifts in microbial community composition following either large seasonal variation in soil temperature or smaller annual increases associated with global climate change have the potential to alter patterns of soil organic matter decomposition by a mechanism that is not considered by current simulation models.

"Applied Statistics and Probability for Engineers." Journal of Quality Technology, 30(1), p. 102

Replication-an important, uncommon, and misunderstood practice-is gaining appreciation in psychology. Achieving replicability is important for making research progress. If findings are not replicable, then prediction and theory development are stifled. If findings are replicable, then interrogation of their meaning and validity can advance knowledge. Assessing replicability can be productive for generating and testing hypotheses by actively confronting current understandings to identify weaknesses and spur innovation. For psychology, the 2010s might be characterized as a decade of active confrontation. Systematic and multi-site replication projects assessed current understandings and observed surprising failures to replicate many published findings. Replication efforts highlighted sociocultural challenges such as disincentives to conduct replications and a tendency to frame replication as a personal attack rather than a healthy scientific practice, and they raised awareness that replication contributes to self-correction. Nevertheless, innovation in doing and understanding replication and its cousins, reproducibility and robustness, has positioned psychology to improve research practices and accelerate progress.

As firms work tod engage customers better, researchers have attempted to understand customer engagement (CE) empirically. CE goes beyond purchase and is the level of the customer's (or potential customer's) interactions and connections with the brand or firm's offerings or activities, often involving others in the social network created around the brand/offering/activity. Engaged individuals include current as well as prospective customers. Following the expanded relationship metaphor and service-dominant logic, the researchers conceptualize a three-dimensional view of CE, including conscious attention, enthused participation, and social connection. The final 10-item scale is thoroughly developed and subsequently validated in several contexts. In addition, its nomological validity is assessed.

This article brings together two case studies that examine how non-transgender people, “gender normals,” interact with transgender people to highlight the connections between doing gender and heteronormativity. By contrasting public and private interactions that range from nonsexual to sexualized to sexual, the authors show how gender and sexuality are inextricably tied together. The authors demonstrate that the criteria for membership in a gender category are significantly different in social versus (hetero)sexual circumstances. While gender is presumed to reflect biological sex in all social interactions, the importance of doing gender in a way that represents the shape of one’s genitals is heightened in sexual and sexualized situations. Responses to perceived failures to fulfill gender criteria in sexual and sexualized relationships are themselves gendered; men and women select different targets for and utilize gendered tactics to accomplish the policing of supposedly natural gender boundaries and to repair breaches to heteronormativity.

In recent years, German companies have reported consolidated financial statements under German GAAP, U.S. GAAP, or International Accounting Standards (IAS). Market observers, researchers, and regulators have argued that financial statements prepared under the shareholder (or investor) model, such as U.S. GAAP or IAS, provide better information than financial statements prepared under the stakeholder model (German GAAP). They further have argued that U.S. GAAP is more rigorously defined and, therefore, provides information superior to that under IAS. We investigate comparative value relevance, measured as the slope coefficient of the returns/earnings regression. Within our sample of German companies traded on German stock exchanges, the value relevance of U.S. GAAP- and IAS-based earnings is higher than that of German GAAP-based earnings. Our result holds only for profit observations, suggesting that reporting regime does not have an influence on the quality of earnings in the case of loss firms. However, we do not find a significant difference in value relevance between U.S. GAAP and IAS after controlling for self- selection. A major contribution of this research is that, unlike prior research, we measure stock returns for all sample firms in the German stock market only, and therefore are not reliant on the perhaps strong assumption underlying prior studies of similarity of pricing across markets domiciled in different countries.

For over a century, various neuroanatomical measures have been employed as assays of cognitive ability in comparative studies. Nevertheless, it is still unclear whether these measures actually correspond to cognitive ability. A recent meta-analysis of cognitive performance of a broad set of primate species has made it possible to provide a quantitative estimate of general cognitive ability across primates. We find that this estimate is not strongly correlated with neuroanatomical measures that statistically control for a possible effect of body size, such as encephalization quotient or brain size residuals. Instead, absolute brain size measures were the best predictors of primate cognitive ability. Moreover, there was no indication that neocortex-based measures were superior to measures based on the whole brain. The results of previous comparative studies on the evolution of intelligence must be reviewed with this conclusion in mind.

Abstract The competitive environment of today has generated an increased interest in flexibility as a response mechanism. While the potential benefits of flexibility are familiar, the concept of flexibility itself is not well‐understood. Neither practitioners nor academics agree upon, or know, how flexibility can be gauged or measured in its totality. Consequently, this study seeks to provide a framework for understanding this complex concept and to create a theoretical foundation for the development of generalizable measures for manufacturing flexibility. With this objective in mind, we first critically examine diverse streams of literature to define four constituent elements of flexibility: range‐number (R‐N), range‐heterogeneity (R‐H), mobility (M), and uniformity (U). The R‐H element is new, and has not been proposed before in prior literature. These four elements can be applied to consistently define different types or dimensions of flexibility. Definitions for 10 flexibility dimensions pertaining to manufacturing are thus obtained. These definitions serve a dual purpose. First, they capture the domain of flexibility. Second, we show in this study how these definitions can be used to generate scale items, thereby facilitating the development of generalizable manufacturing flexibility measures. Several research avenues that can be explored once such measures are developed are also highlighted.

A fiercer level of competition is becoming the most influential factor in the structure and activities of the banking system around the globe. Banks are competing not only with themselves, but also with other financial institutions within the financial industry. In a plural society such as in Malaysia, the competition is becoming fiercer with the existence of the Islamic bank, which was established specifically to cater for the needs of the Muslim population in the country. To attract more customers, both conventional and Islamic banks should have information on factors used by customers in selecting their banks. Investigates how Muslims and non‐Muslims select their banks and what services they use frequently. Results show that there are many similarities between Muslims and non‐Muslims in their selection of banks and utilization of services.