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Abstract
Infants learn to navigate the complexity of the physical and social world at an outstanding pace, but how they accomplish this learning is still largely unknown. Recent advances in human and artificial intelligence research propose that a key feature to achieving quick and efficient learning is meta-learning, the ability to make use of prior experiences to learn how to learn better in the future. Here we show that 8-month-old infants successfully engage in meta-learning within very short timespans after being exposed to a new learning environment. We developed a Bayesian model that captures how infants attribute informativity to incoming events, and how this process is optimized by the meta-parameters of their hierarchical models over the task structure. We fitted the model with infants' gaze behavior during a learning task. Our results reveal how infants actively use past experiences to generate new inductive biases that allow future learning to proceed faster.

PurposeThe need for context-specific adoption models led to the development of the firm technology adoption model (F-TAM) model. Among small to medium-scale enterprises (SMEs); however, firm-level factors were rather insignificant in engendering SME level adoption of technological innovation. This study aims to examine the effect of firm size and other moderating and mediating factors on the relationships between personal, firm, societal and technological factors proposed in the stakeholder-oriented F-TAM among SMEs.Design/methodology/approachA research instrument was developed, reviewed by experts, and pilot tested with a sample of 25 respondents. Data were purposively collected from four hundred (400) SMEs and analyzed with partial least squares structural equation modeling (PLS-SEM).FindingsThe study discovered that employees, societal and technological factors moderate the relationship between firm factors of adoption and firm adoption. Without these moderating effects, firm factors of adoption would have been insignificant at the SMEs' level of organizational technology adoption. The study further discovered that firm size, as well as risk propensity, also affect the relationships proposed in the model.Research limitations/implicationsData was collected on voluntary adoption from the most cosmopolitan area of a developing country. It, therefore, needs further contextual validation across the country and different countries.Practical implicationsThe engagement of innovations in firms must be planned with employees and society as major stakeholders.Originality/valueThe significance of this finding is the study's emphasis on an eco-system approach for examining the phenomenon of innovation adoption. To the best of the authors' knowledge, this study is the first to examine the effect of firm characteristics on is proposed eco-system of stakeholders.

Biobanks and their collections are considered essential for contemporary biomedical research and a critical resource toward personalized medicine. However, they need to operate in a sustainable manner to prevent research waste and maximize impact. Sustainability is the capacity of a biobank to remain operative, effective, and competitive over its expected lifetime. This remains a challenge given a biobank's position at the interplay of ethical, societal, scientific, and commercial values and the difficulties in finding continuous funding. In the end, biobanks are responsible for their own sustainability. Still, biobanks also depend on their surrounding environment, which contains overarching legislative, policy, financial, and other factors that can either impede or promote sustainability. The Biobanking and Biomolecular Research Infrastructure for The Netherlands (BBMRI.nl) has worked on improving the national environment for sustainable biobanking. In this article, we present the final outcomes of this BBMRI.nl project. First, we summarize the current overarching challenges of the Dutch biobanking landscape. These challenges were gathered during workshops and focus groups with Dutch biobanks and their users, for which the full results are described in separate reports. The main overarching challenges relate to sample and data quality, funding, use and reuse, findability and accessibility, and the general image of biobanks. Second, we propose a package of recommendations-across nine themes-toward creating overarching conditions that stimulate and enable sustainable biobanking. These recommendations serve as a guideline for the Dutch biobanking community and their stakeholders to jointly work toward practical implementation and a better biobanking environment. There are undoubtedly parallels between the Dutch situation and the challenges found in other countries. We hope that sharing our project's approach, outcomes, and recommendations will support other countries in their efforts toward sustainable biobanking.

Across scientific disciplines, there is a rapidly growing recognition of the need for more statistically robust, transparent approaches to data visualization. Complementary to this, many scientists have called for plotting tools that accurately and transparently convey key aspects of statistical effects and raw data with minimal distortion. Previously common approaches, such as plotting conditional mean or median barplots together with error-bars have been criticized for distorting effect size, hiding underlying patterns in the raw data, and obscuring the assumptions upon which the most commonly used statistical tests are based. Here we describe a data visualization approach which overcomes these issues, providing maximal statistical information while preserving the desired 'inference at a glance' nature of barplots and other similar visualization devices. These "raincloud plots" can visualize raw data, probability density, and key summary statistics such as median, mean, and relevant confidence intervals in an appealing and flexible format with minimal redundancy. In this tutorial paper, we provide basic demonstrations of the strength of raincloud plots and similar approaches, outline potential modifications for their optimal use, and provide open-source code for their streamlined implementation in R, Python and Matlab ( https://github.com/RainCloudPlots/RainCloudPlots). Readers can investigate the R and Python tutorials interactively in the browser using Binder by Project Jupyter. ; MA is supported by a Lundbeckfonden Fellowship (R272-2017-4345), the AIAS-COFUND II fellowship programme that is supported by the Marie Skłodowska-Curie actions under the European Union's Horizon 2020 (Grant agreement no 754513), and the Aarhus University Research Foundation, and thanks Lincoln Colling for insightful statistical discussions. KW is funded by the Alan Turing Institute under the EPSRC grant EP/N510129/1. RAK is supported by the Wellcome Trust (grant number 107392/Z/15/Z).

Network effects and spatial spillovers are intrinsic impacts of transport infrastructure. Network effects imply that an improvement in a particular link in a network generates effects in many other elements of that network, while spillover effects can be defined as those impacts occurring beyond the regions where the actual transport investment is made. These two related effects entail a redistribution of impacts among regions, and their omission from road planning is argued to cause the systematic underestimation of the profitability of transport projects and therefore the public financing they require. However, traditional transport appraisal methodologies fail to consider network and spillover effects. In this study we focus on the spillover impacts of two highway sections planned in the city region of Eindhoven, located in the Dutch province of Noord-Brabant, a region with traffic congestion problems. The new road infrastructure will be financed mainly by national government, the province and the urban region of Eindhoven ('Stadsregio Eindhoven'), which consists of 21 municipalities. We measure the benefits of the additional links in terms of travel time savings and the accompanying monetary gains. The results show that important spillovers occur in those municipalities close to the new links. The province of Noord-Brabant will benefit the most. We also found important spillovers in the province of Limburg. This latter province will benefit from reduced travel times without contributing financially to the establishment of the analysed new road links.

Electronic slideshow presentations are often faulted anecdotally, but little empirical work has documented their faults. In Study 1 we found that eight psychological principles are often violated in PowerPoint® slideshows, and are violated to similar extents across different fields – for example, academic research slideshows generally were no better or worse than business slideshows. In Study 2 we found that respondents reported having noticed, and having been annoyed by, specific problems in presentations arising from violations of particular psychological principles. Finally, in Study 3 we showed that observers are not highly accurate in recognizing when particular slides violated a specific psychological rule. Furthermore, even when they correctly identified the violation, they often could not explain the nature of the problem. In sum, the psychological foundations for effective slideshow presentation design are neither obvious nor necessarily intuitive, and presentation designers in all fields, from education to business to government, could benefit from explicit instruction in relevant aspects of psychology.