何时推进，何时退后

如何从不太重要的信息中找出重要的信息呢?在同老板的交往中通过了解他想从你那里了解什么,从而提前进行区分要达到企业所希望的结果,你需要依赖员工分享重要信息．提出他们在同客户、合作伙伴甚至是竞争对手的交往中形成的创意。但鼓励员工分享他们的深刻见解的同时．你也希望他们有自己的判断力。你不需要了解资料的所有细节。     

Does Iconicity in Pictographs Matter? The Influence of Iconicity and Numeracy on Information Processing,Decision Making,and Liking in an Eye‐Tracking Study

Researchers recommend the use of pictographs in medical risk communication to improve people's risk comprehension and decision making. However, it is not yet clear whether the iconicity used in pictographs to convey risk information influences individuals’ information processing and comprehension. In an eye‐tracking experiment with participants from the general population (N = 188), we examined whether specific types of pictograph icons influence the processing strategy viewers use to extract numerical information. In addition, we examined the effect of iconicity and numeracy on probability estimation, recall, and icon liking. This experiment used a 2 (iconicity: blocks vs. restroom icons) × 2 (scenario: medical vs. nonmedical) between‐subject design. Numeracy had a significant effect on information processing strategy, but we found no effect of iconicity or scenario. Results indicated that both icon types enabled high and low numerates to use their default way of processing and extracting the gist of the message from the pictorial risk communication format: high numerates counted icons, whereas low numerates used large‐area processing. There was no effect of iconicity in the probability estimation. However, people who saw restroom icons had a higher probability of correctly recalling the exact risk level. Iconicity had no effect on icon liking. Although the effects are small, our findings suggest that person‐like restroom icons in pictographs seem to have some advantages for risk communication. Specifically, in nonpersonalized prevention brochures, person‐like restroom icons may maintain reader motivation for processing the risk information.     

Building a Values‐Informed Mental Model for New Orleans Climate Risk Management

Individuals use values to frame their beliefs and simplify their understanding when confronted with complex and uncertain situations. The high complexity and deep uncertainty involved in climate risk management (CRM) lead to individuals’ values likely being coupled to and contributing to their understanding of specific climate risk factors and management strategies. Most mental model approaches, however, which are commonly used to inform our understanding of people's beliefs, ignore values. In response, we developed a “Values‐informed Mental Model” research approach, or ViMM, to elicit individuals’ values alongside their beliefs and determine which values people use to understand and assess specific climate risk factors and CRM strategies. Our results show that participants consistently used one of three values to frame their understanding of risk factors and CRM strategies in New Orleans: (1) fostering a healthy economy, wealth, and job creation, (2) protecting and promoting healthy ecosystems and biodiversity, and (3) preserving New Orleans’ unique culture, traditions, and historically significant neighborhoods. While the first value frame is common in analyses of CRM strategies, the latter two are often ignored, despite their mirroring commonly accepted pillars of sustainability. Other values like distributive justice and fairness were prioritized differently depending on the risk factor or strategy being discussed. These results suggest that the ViMM method could be a critical first step in CRM decision‐support processes and may encourage adoption of CRM strategies more in line with stakeholders’ values.     

Modelling human immunodeficiency virus ribonucleic acid levels with finite mixtures for censored longitudinal data

The measurement of human immunodeficiency virus ribonucleic acid levels over time leads to censored longitudinal data. Suitable models for dynamic modelling of these levels need to take this data characteristic into account. If groups of patients with different developments of the levels over time are suspected the model class of finite mixtures of mixed effects models with censored data is required. We describe the model specification and derive the estimation with a suitable expectation-maximization algorithm. We propose a convenient implementation using closed form formulae for the expected mean and variance of the truncated multivariate distribution. Only efficient evaluation of the cumulative multivariate normal distribution function is required. Model selection as well as methods for inference are discussed. The application is demonstrated on the clinical trial ACTG 315 data.     

Deep Uncertainties in Sea-Level Rise and Storm Surge Projections: Implications for Coastal Flood Risk Management

Sea levels are rising in many areas around the world, posing risks to coastal communities and infrastructures. Strategies for managing these flood risks present decision challenges that require a combination of geophysical, economic, and infrastructure models. Previous studies have broken important new ground on the considerable tensions between the costs of upgrading infrastructure and the damages that could result from extreme flood events. However, many risk-based adaptation strategies remain silent on certain potentially important uncertainties, as well as the tradeoffs between competing objectives. Here, we implement and improve on a classic decision-analytical model (Van Dantzig 1956) to: (i) capture tradeoffs across conflicting stakeholder objectives, (ii) demonstrate the consequences of structural uncertainties in the sea-level rise and storm surge models, and (iii) identify the parametric uncertainties that most strongly influence each objective using global sensitivity analysis. We find that the flood adaptation model produces potentially myopic solutions when formulated using traditional mean-centric decision theory. Moving from a single-objective problem formulation to one with multiobjective tradeoffs dramatically expands the decision space, and highlights the need for compromise solutions to address stakeholder preferences. We find deep structural uncertainties that have large effects on the model outcome, with the storm surge parameters accounting for the greatest impacts. Global sensitivity analysis effectively identifies important parameter interactions that local methods overlook, and that could have critical implications for flood adaptation strategies.     

Vision and state health department public relations practitioners: Prepared to lead?

Visions are important to organizational effectiveness. Although providing vision has been identified as one of the behaviors that best captures organization-wide public relations leadership, little public relations research has focused on vision. Similarly, state health departments have drawn little interest among public relations scholars even though states are a central part of the nation's public health system. This study addressed the perceptions of the top public relations professionals at state health departments concerning vision and their involvement in the visioning process. The practitioners were nearly unanimous in their belief that organizational visions are important. However, results indicate that some top public relations practitioners at state health departments are not prepared to make optimal contributions to the visioning process. In order to take full advantage of opportunities to serve as organization-wide leaders, public relations practitioners should seek out information about visioning in order help chart their organization's future and enhance their careers.     

Thinking about biology and culture: can the natural and human sciences be integrated?

Genomic analyses have shown that only 1.2 per cent of the genome is devoted to protein coding sequences (the most commonly invoked definition of genes), and that much of the remaining sequences are employed in regulation – that is, in responding to signals, first, from the immediate environment of the DNA, but ultimately from the distal environment – from the cytoplasm, from the environment outside the cell, and finally, from the environment beyond the organism. Such signals are not restricted to the simple physical and chemical stimuli that impinge directly on the DNA, on the surface of the cell, or even on the body as a whole: organisms with central nervous systems have receptors for forms of perception that are not only more complex but far longer range. Humans have especially sophisticated perceptual capacities, enabling them to respond to a wide range of complex visual, auditory, linguistic and behavioural/emotional signals in their extended environment. Research has recently begun to show that responses to such signals can extend all the way down to the level of gene expression. The question is this: to what extent are we witnessing (at last) a rapprochement between the natural science of biology and the human sciences of sociology and anthropology, and to what extent do the new promises of synthesis merely reflect an expansion of older reductionist aims, threatening once again to marginalize rather than incorporate the insights of cultural analysis? As in my earlier discussion of the nature/nurture debate (2010), my focus will be restricted to the Anglo-American context.