Confidence in COVID-19 vaccines moderates the association between vaccination status and mental distress.

Previous research has demonstrated that becoming vaccinated with the Coronavirus vaccine may lower mental distress. However, it remains uncertain whether this relationship holds amid concerns of vaccine side effects and doubts of the vaccine's protective capabilities. We presented three studies that showed how vaccine confidence negatively influences the relationship between vaccine uptake and mental distress. Using two-way fixed effects regression models, Study 1 analyzes longitudinal survey of respondents from Los Angeles County in the US, while Study 2 uses the same analytical strategy but generalises findings by analysing longitudinal data of participants across all 50 US states. Main results of both studies show that (i) vaccination uptake is linked with reduced mental distress among individuals with high vaccine confidence (ii) vaccine uptake has no effect on mental distress among individuals with low vaccine confidence. Lastly, Study 3 applies multilevel analysis to a large-scale pseudo-panel study of 15 developed countries. Results for the third study corroborate finding (i) but not (ii) in that the multinational study finds that vaccine uptake is actually associated with higher mental distress among individuals with low vaccine confidence. In sum, our paper shows that the palliative effect of vaccination on mental health only exists when vaccine confidence is high. Results are mixed on whether vaccination affects mental distress when individual vaccine confidence is low.

Homeworking and Employee Job Stress and Work Engagement: A Multilevel Analysis from 34 European Countries.

Working from home (WFH) has had both positive and negative impacts on the work conduct. To maximise the benefits of homeworking, previous literature mainly focuses on creating self-help strategies for homeworkers to reduce work stress and maintain work engagement. However, fewer studies take on the policymaker perspective and evaluate optimal working conditions in the homeworking context. Using the Job Demands-Resources (JD-R) model, this study evaluates the effects of various work characteristics (job demands and resources) on the stress and engagement of infrequent and frequent homeworkers. Using the sixth European Working Conditions Survey 2015 which contains 5090 participants from 34 European countries, we studied 6 job demands and 5 job resources via Exploratory Factor Analysis. After testing the model's fitness using Confirmatory Factor Analysis, multiple mixed-effects models were used to test the job demands and resource effects on worker stress and engagement. Dominance Analysis was then used to identify the relative importance of each job demand and resource when explaining employee stress and engagement. We found emotional demands, time pressure, and workload to be the top three demand factors that cause work stress across the groups. Other than daily homeworkers, a positive and fair social climate is the most prominent resource able to boost job engagement across all of the other groups. By identifying the homeworkers' most influential demands and resources, this study will help managers better understand the steps to take to provide healthy job conditions for homeworkers.

Improving vaccination intent among skeptics through confidence in governments' handling of the COVID-19 pandemic.

Scientific evidence suggests that individuals vaccinated with COVID-19 vaccines are less likely to require hospitalization, possibly lowering the burden on the healthcare system. Despite such benefits, substantial segments of the world's population remain skeptical of COVID-19 vaccines and are hesitant to take them. Even if such individuals have been inoculated with COVID-19 vaccines out of economic, social, or legal necessity, they may be less inclined to receive booster shots or vaccinate their offspring when such options become available. What might help reduce this hesitancy? We examined this question using nationally representative survey data across 15 developed countries (max N = 122,516). Our findings suggest that inspiring confidence in the government's handling of the pandemic is pivotal in enhancing vaccination intent among vaccine skeptics. Specifically, results from a hierarchical linear analysis showed that among vaccine skeptics, confidence in the government's management of the pandemic was associated with greater intent to (a) take COVID-19 vaccines (b) take booster shots and (c) vaccinate one's children.

Image segmentation and dynamic lineage analysis in single-cell fluorescence microscopy.

An increasingly common component of studies in synthetic and systems biology is analysis of dynamics of gene expression at the single-cell level, a context that is heavily dependent on the use of time-lapse movies. Extracting quantitative data on the single-cell temporal dynamics from such movies remains a major challenge. Here, we describe novel methods for automating key steps in the analysis of single-cell, fluorescent images-segmentation and lineage reconstruction-to recognize and track individual cells over time. The automated analysis iteratively combines a set of extended morphological methods for segmentation, and uses a neighborhood-based scoring method for frame-to-frame lineage linking. Our studies with bacteria, budding yeast and human cells, demonstrate the portability and usability of these methods, whether using phase, bright field or fluorescent images. These examples also demonstrate the utility of our integrated approach in facilitating analyses of engineered and natural cellular networks in diverse settings. The automated methods are implemented in freely available, open-source software.

Hybrid simulations of stochastic reaction-diffusion processes for modeling intracellular signaling pathways.

In the intracellular environment, signaling takes place in a nonideal environment that is spatially heterogeneous and that is noisy, with the noise arising from the low copy numbers of the signaling molecules involved. In this paper, we model intracellular signaling pathways as stochastic reaction-diffusion processes and adapt techniques commonly used by physicists to solve for the spatiotemporal evolution of the signaling pathways. We then apply it to study two problems of relevance to the modeling of intracellular signaling pathways. First, we show that, in the limit of small protein diffusion which is typically the case for proteins in the cytosol crowded by other macromolecules, the extent of diffusion control, in the transient regime, on reactions is greater than previous predictions. Second, we show that the presence of scaffold proteins can modify the phosphorylation activity of a mitogen-activated protein kinase cascade, and explain how this activity is modulated by the scaffold protein concentration.