Recent studies of the low abundant signaling lipid, phosphatidylinositol 3,5‐bisphosphate (PI(3,5)P2), reveal an intriguingly diverse list of downstream pathways, the intertwined relationship between PI(3,5)P2 and PI5P, as well as links to neurodegenerative diseases. Derived from the structural lipid phosphatidylinositol, PI(3,5)P2 is dynamically generated on multiple cellular compartments where interactions with an increasing list of effectors regulate many cellular pathways. A complex of proteins that includes Fab1/PIKfyve, Vac14, and Fig4/Sac3 mediates the biosynthesis of PI(3,5)P2, and mutations that disrupt complex function and/or (...) formation cause profound consequences in cells. Surprisingly, mutations in this pathway are linked with neurological diseases, including Charcot‐Marie‐Tooth syndrome and amyotrophic lateral sclerosis. Future studies of PI(3,5)P2 and PI5P are likely to expand the roles of these lipids in regulation of cellular functions, as well as provide new approaches for treatment of some neurological diseases. (shrink)

The present study sheds light on a new psychological construct called “AI pessimism aversion” (AIPA) describing an overly optimistic view of the benefits of AI by neglecting its potential dangers. In an international sample of N = 543 participants, we observed that the construct of AIPA strongly overlaps with single-item measures for positive and negative AI attitudes. Furthermore, the structural equation model suggests that the positive association between the internal locus of control (a personality measure describing persons who see themselves (...) as steering their own lives) and positive AI attitudes was in part mediated by AIPA. We also assessed risk aversion in the present work, because high aversion of risky situations might go along with lower AIPA (the coming AI wave is characterised by high uncertainty). Surprisingly, this was not the case, and these two constructs seem to be (rather) independent. The present work should be a starting point to dive deeper into the study of AI attitudes, a highly relevant research theme for societies standing at the eve of the coming AI wave. (shrink)

Integrating research on empowering leadership with the literature on power in social psychology, we examine how empowering leaders affect the propensity of followers to engage in deviance. Across a multi-source, multi-wave field study and a controlled laboratory experiment, we find that, compared to the followers of less-empowering leaders, the followers of more empowering leaders feel subjectively more powerful and engage in more deviant behaviors. Moreover, we find that the propensity of empowered followers to engage in more deviance depends on their (...) prosocial attributes. Specifically, empowered followers engage in the highest levels of deviance when they have a weak moral identity and a strong desire for dominance. We further find that empowering leadership does not increase follower deviance when followers either have a strong moral identity or a weak desire for dominance. In sum, although past research suggests that empowering leadership may facilitate productivity and employee engagement, our work demonstrates that it can also cultivate harmful effects, such as increased deviance among certain types of followers. We discuss our theoretical contributions as well as practical implications for practicing empowering leadership. (shrink)

Smart grids are rolling out internationally, with the United States nearing completion of a significant USD4-plus-billion federal program funded under the American Recovery and Reinvestment Act. The emergence of smart grids is widespread across developed countries. Multiple approaches to analyzing the benefits of smart grids have emerged. The goals of this white paper are to review these approaches and analyze examples of each to highlight their differences, advantages, and disadvantages. This work was conducted under the auspices of a joint U.S.-China (...) research effort, the Climate Change Working Group Implementation Plan, Smart Grid. We present comparative benefits assessments of smart grid demonstrations in the U.S. and China along with a BA of a pilot project in Europe. In the U.S., we assess projects at two sites: the University of California, Irvine campus, which consists of two distinct demonstrations: Southern California Edison’s Irvine Smart Grid Demonstration Project and the UCI campus itself; and the Navy Yard area in Philadelphia, which has been repurposed as a mixed commercial-industrial, and possibly residential, development. In China, we cover several smart-grid aspects of the Sino-Singapore Tianjin Eco-city and the Shenzhen Bay Technology and Ecology City. In Europe, we look at a BA of a pilot smart grid project in the Malagrotta area west of Rome, Italy, contributed by the Joint Research Centre of the European Commission. The Irvine sub-project BAs use the U.S. Department of Energy Smart Grid Computational Tool, which is built on methods developed by the Electric Power Research Institute. The TEC sub-project BAs apply Smart Grid Multi-Criteria Analysis developed by the State Grid Corporation of China based on the analytic hierarchy process with fuzzy logic. The B-TEC and TNY sub-project BAs are evaluated using new approaches developed by those project teams. JRC has adopted an approach similar to EPRI’s but tailored to the Malagrotta distribution grid. (shrink)

This article describes some potential uses of Bayesian estimation for time-series and panel data models by incorporating information from prior probabilities (i.e., priors) in addition to observed data. Drawing on econometrics and other literatures we illustrate the use of informative “shrinkage” or “small variance” priors (including so-called “Minnesota priors”) while extending prior work on the general cross-lagged panel model (GCLM). Using a panel dataset of national income and subjective well-being (SWB) we describe three key benefits of these priors. First, they (...) shrink parameter estimates toward zero or toward each other for time-varying parameters, which lends additional support for an income → SWB effect that is not supported with maximum likelihood (ML). This is useful because, second, these priors increase model parsimony and the stability of estimates (keeping them within more reasonable bounds) and thus improve out-of-sample predictions and interpretability, which means estimated effect should also be more trustworthy than under ML. Third, these priors allow estimating otherwise under-identified models under ML, allowing higher-order lagged effects and time-varying parameters that are otherwise impossible to estimate using observed data alone. In conclusion we note some of the responsibilities that come with the use of priors which, departing from typical commentaries on their scientific applications, we describe as involving reflection on how best to apply modeling tools to address matters of worldly concern. (shrink)

In response to the COVID-19 pandemic, millions of students in China followed an emergency policy called “Suspending Classes without Stopping Learning” to continue their study online as schools across the country were closed. The present study examines how students adapted to learning online in these unprecedented circumstances. We aimed to explore the relationship between adaptability, academic emotion, and student engagement during COVID-19. 1,119 university students from 20 provinces participated in this longitudinal study (2 time points with a 2-week interval). The (...) results showed that adaptability (the ability to respond to changes) and student engagement are significantly positively correlated with positive academic emotion and negatively correlated with negative academic emotion. Furthermore, adaptability not only directly predicts student engagement, but also affects student engagement through the chain mediation of positive academic emotion and negative academic emotion. The results contribute to the gap in knowledge regarding changes in students’ learning in response to the outbreak. This study further explains the internal mechanisms mediating the relationship between adaptability and student engagement. It may provide references for educational researchers and universities in dampening the negative effects of COVID-19 on students’ learning by improving their adaptability and developing positive academic emotions. (shrink)

Four ethical values — maximizing benefits, treating equally, promoting and rewarding instrumental value, and giving priority to the worst off — yield six specific recommendations for allocating medical resources in the Covid-19 pandemic: maximize benefits; prioritize health workers; do not allocate on a first-come, first-served basis; be responsive to evidence; recognize research participation; and apply the same principles to all Covid-19 and non–Covid-19 patients.

Agency work is one of the most rapidly growing forms of employment in leading economies over the past two decades, signifying a global shift towards non-standard flexible employment modes. The rapid growth of agency work has become one of the most notable global employment trends and is set to become a permanent feature of the modern workplace. The growth of agency employment raises a number of ethical challenges for governments and businesses. A key emerging challenge is to identify firm-level HRM (...) strategies to effectively manage and protect agency employees. Based on an extensive review of the existing research on agency work, this article develops an organizational-level flexicurity model of HRM as a promising answer to effectively manage agency employees in responsible ways within the context of increasing employment flexibilization. This article also develops a research agenda, providing a platform to inform future research. (shrink)

The ability to access and share data is key to optimizing and streamlining any industrial production process. Unfortunately, the manufacturing industry is stymied by a lack of interoperability among the systems by which data are produced and managed, and this is true both within and across organizations. In this paper, we describe our work to address this problem through the creation of a suite of modular ontologies representing the product life cycle and its successive phases, from design to end of (...) life. We call this suite the Product Life Cycle (PLC) Ontologies. The suite extends proximately from The Common Core Ontologies (CCO) used widely in defense and intelligence circles, and ultimately from the Basic Formal Ontology (BFO), which serves as top level ontology for the CCO and for some 300 further ontologies. The PLC Ontologies were developed together, but they have been factored to cover particular domains such as design, manufacturing processes, and tools. We argue that these ontologies, when used together with standard public domain alignment and browsing tools created within the context of the Semantic Web, may offer a low-cost approach to solving increasingly costly problems of data management in the manufacturing industry. (shrink)

Corporate social responsibility (CSR) activities have become increasingly prevalent in retail settings. In franchised organizations, franchisors typically design and coordinate these activities, leaving operational execution to franchisees. Meanwhile, franchisors may introduce new corporate-led CSR activities over time. Even though changes to CSR activities may refocus outlets’ attention on a CSR initiative, they may also disrupt an outlet’s ongoing CSR routines. Using a longitudinal, secondary dataset consisting of an eight-year panel for a national, franchised restaurant chain, we examine CSR performance dynamics (...) in the presence of two distinct types of CSR activities: an ongoing CSR routine and a distinct, temporary CSR campaign. We find that, when resuming the CSR routine after a temporary CSR campaign, outlets’ performance in CSR routines drops significantly (i.e., immediate decay), then improves gradually (i.e., protracted recovery). We also consider the moderating role of an outlet’s experience, finding that experience stabilizes these decay and recovery cycles. Our findings represent a first step in developing a longitudinal understanding of how a firm’s short-term CSR campaigns may impact ongoing CSR routines, thus contributing to the knowledge of CSR activity development and routinization. (shrink)

Drawing on implicit leadership theory and the mindfulness literature, we propose that perceived authentic leadership mediates the relationship between follower mindfulness and follower well-being. Leader mindfulness plays a moderating role in this process. We validated these hypotheses with the two-wave data from 56 leaders and 275 followers in two private enterprises located in China. We used Mplus 8.0 to test our hypotheses. Consistent with our hypotheses, the results showed that perceived authentic leadership mediated the positive relationship between follower mindfulness and (...) follower well-being. Higher leader mindfulness enhanced the effect of follower mindfulness on perceived authentic leadership, and also strengthened the indirect effect of follower mindfulness on follower well-being via perceived authentic leadership. The theoretical and managerial implications are further discussed in the light of these findings. (shrink)

Recent research has linked the reduction of abnormal accruals to corporate governance metrics. The results of these studies, however, are based on samples taken from periods prior to promulgated board independence requirements. In other words, during this time period, management not only had discretion over accounting accruals, but also significant influence over the choice of membership on the board of directors. This study suggests that ethical management practices may be a correlated omitted variable in these studies, thus resulting in causal (...) inference problems in the previous research. We argue that, rather than the board of directors monitoring and reducing abnormal accruals as has been posited, management who was not engaging in abusive earnings management was attempting to signal the market regarding the quality of the firm’s financial information through its choice of board membership. (shrink)

The present study analyses the psychometric properties of the irrational procrastination scale in a sample of United States college students using the Rasch modeling approach. Results showed that the IPS items had a high level of reliability, good content validity, structural validity, and substantive validity, and no differential item functioning effects in terms of gender. The IPS was found to be unidimensional, supporting the originally proposed theoretical structure by Steel. Finally, psychometric implications derived from the results and study limitations are (...) discussed; recommendations for future investigations are also offered. (shrink)

Research on bias in peer review examines scholarly communication and funding processes to assess the epistemic and social legitimacy of the mechanisms by which knowledge communities vet and self-regulate their work. Despite vocal concerns, a closer look at the empirical and methodological limitations of research on bias raises questions about the existence and extent of many hypothesized forms of bias. In addition, the notion of bias is predicated on an implicit ideal that, once articulated, raises questions about the normative implications (...) of research on bias in peer review. This review provides a brief description of the function, history, and scope of peer review; articulates and critiques the conception of bias unifying research on bias in peer review; characterizes and examines the empirical, methodological, and normative claims of bias in peer review research; and assesses possible alternatives to the status quo. We close by identifying ways to expand conceptions and studies of bias to countenance the complexity of social interactions among actors involved directly and indirectly in peer review. (shrink)

Humans’ interactions with each other or with socially competent machines exhibit lawful coordination patterns at multiple levels of description. According to Coordination Dynamics, such laws specify the flow of coordination states produced by functional synergies of elements (e.g., cells, body parts, brain areas, people…) that are temporarily organized as single, coherent units. These coordinative structures or synergies may be mathematically characterized as informationally coupled self-organizing dynamical systems (Coordination Dynamics). In this paper, we start from a simple foundation, an elemental model (...) system for social interactions, whose behavior has been captured in the Haken-Kelso-Bunz (HKB) model. We follow a tried and tested scientific method that tightly interweaves experimental neurobehavioral studies and mathematical models. We use this method to further develop a body of empirical research that advances the theory toward more generalized forms. In concordance with this interdisciplinary spirit, the present paper is written both as an overview of relevant advances and as an introduction to its mathematical underpinnings. We demonstrate HKB’s evolution in the context of social coordination along several directions, with its applicability growing to increasingly complex scenarios. In particular, we show that accommodating for symmetry breaking in intrinsic dynamics and coupling, multiscale generalization and adaptation are principal evolutions. We conclude that a general framework for social coordination dynamics is on the horizon, in which models support experiments with hypothesis generation and mechanistic insights. (shrink)

Although accumulating evidence suggests the COVID-19 pandemic is associated with costs in mental health, the development of students' mental health, including the change from their previous levels of depression and anxiety and the factors associated with this change, has not been well-studied. The present study investigates changes in students' anxiety and depression from before the pandemic to during the lockdown and identifies factors that are associated with these changes. 14,769 university students participated in a longitudinal study with two time points (...) with a 6-month interval. Students completed the Anxiety and Depression subscales of the Symptom Checklist 90 before the COVID-19 outbreak, and the Self-rating Anxiety Scale and Self-rating Depression Scale during the pandemic. The prevalence of anxiety and depression symptoms were 1.44 and 1.46% at Time 1, and 4.06 and 22.09% at Time 2, respectively, showing a 181.94% increase in anxiety and a 1413.01% increase in depression. Furthermore, the increases in anxiety and depression from pre-pandemic levels were associated with students' gender and the severity of the pandemic in the province where they resided. This study contributes to the gap in knowledge regarding changes in students' mental health in response to the pandemic and the role of local factors in these changes. Implications for gender and the Typhoon Eye effect are discussed. (shrink)

We agree with many of the principles proposed by Frost but highlight crucial caveats and report research findings that challenge several assertions made in the target article. We discuss the roles that visual processing, development, and bilingualism play in visual word recognition and reading. These are overlooked in all current models, but are fundamental to any universal model of reading.