Polioviruses of reduced neurovirulence contain point mutations in the viral RNA that are responsible for the attenuated phenotype. Two such point mutations have been identified in the genomes of the Sabin live oral vaccine strains, one in the 5′‐noncoding region of the viral RNA, and one in capsid polypeptide VP3.

Background: Dementia care at home often involves decisions in which the caregiver must weigh safety concerns with respect for autonomy. These dilemmas can lead to situations where caregivers provide care against the will of persons living with dementia, referred to as involuntary treatment. To prevent this, insight is needed into how family caregivers of persons living with dementia deal with care situations that can lead to involuntary treatment. Objective: To identify and describe family caregivers’ experiences regarding care decisions for situations (...) that can lead to involuntary treatment use in persons living with dementia at home. Research design: A qualitative descriptive interview design. Data were analysed using the Qualitative Analysis Guide of Leuven. Participants and research context: A total of 10 family caregivers providing care for 13 persons living with dementia participated in in-depth semi-structured interviews. Participants were recruited by registered nurses via purposive sampling. Ethical consideration: The study protocol was approved by the Ethics Committee of the University Hospitals Leuven and the Medical Ethical Test Committee Zuyderland. Findings: Family caregivers experience the decision-making process concerning care dilemmas that can lead to involuntary treatment as complicated, stressful and exhausting. Although they consider safety and autonomy as important values, they struggle with finding the right balance between them. Due to the progressive and unpredictable nature of dementia, they are constantly seeking solutions while they adapt to new situations. Family caregivers feel responsible and experience social pressure for the safety of persons living with dementia. They may be blamed if something adverse happens to the persons living with dementia, which increases an already stressful situation. Their experience is influenced by characteristics of the care triad (persons living with dementia, professional and family caregivers) such as practical and emotional support, knowledge, and previous experiences. Discussion and conclusion: To prevent involuntary treatment, professionals need to proactively inform family caregivers, and they need to support each other in dealing with complex care situations. (shrink)

Graphical AbstractThe SRY gene, which is located on the Y chromosome and directs male development, may promote aggression and other traditionally male behavioural traits, resulting in the fight-or-flight reaction to stress.

Recent studies have shown that self‐explanation is an effective metacognitive strategy, but how can it be leveraged to improve students' learning in actual classrooms? How do instructional treatments that emphasizes self‐explanation affect students' learning, as compared to other instructional treatments? We investigated whether self‐explanation can be scaffolded effectively in a classroom environment using a Cognitive Tutor, which is intelligent instructional software that supports guided learning by doing. In two classroom experiments, we found that students who explained their steps during problem‐solving (...) practice with a Cognitive Tutor learned with greater understanding compared to students who did not explain steps. The explainers better explained their solutions steps and were more successful on transfer problems. We interpret these results as follows: By engaging in explanation, students acquired better‐integrated visual and verbal declarative knowledge and acquired less shallow procedural knowledge. The research demonstrates that the benefits of self‐explanation can be achieved in a relatively simple computer‐based approach that scales well for classroom use. (shrink)

Interest in the role of nitric oxide (NO) in the nervous system began with the demonstration that glutamate receptor activation in cerebellar slices causes the formation of a diffusible messenger with properties similar to those of the endothelium-derived relaxing factor. It is now clear that this is due to the Ca2+/calmodulin-dependent activation of the enzyme NO synthase, which forms NO and citrulline from the amino acid L-arginine. The cerebellum has very high levels of NO synthase, and although it has low (...) levels of guanylyl cyclase, cerebellar cyclic guanosine monophosphate (cGMP) levels are an order of magnitude higher than in other brain regions. A transcellular metabolic pathway is also present in the cerebellar cortex to recycle citrulline back to arginine. The NO formed binds to and activates soluble guanylyl cyclase to elevate cGMP levels in target cells. Studies employing NADPH-diaphorase, a selective histochemical marker for NO synthase, together with immunohistochemistry, in situ hybridization and biochemical studies have indicated that NO production occurs in granule and basket cells in the cerebellar cortex, whereas cGMP formation appears to occur largely in other cells, including Purkinje cells. Given that a long-term depression of AMPA currents can be seen in isolated Purkinje cells, this anatomical localization suggests that NO cannot play an essential role in the induction of this form of synaptic plasticity. (shrink)

This paper aims to contribute to the ongoing conceptual debate on responsible innovation, and provides innovation practices and processes that can help to implement responsible innovation in the business context. Based on a systematic literature review of 72 empirical scholarly articles, it was possible to identify, analyse and synthesise empirical findings reported in studies on social, sustainable and responsible innovation practices in the business context. The synthesis of the included articles resulted in a refined framework for responsible innovation in the (...) business context. This framework includes an overview of innovation practices and processes that can enhance the dimensions of responsible innovation: anticipation, reflexivity, inclusion, deliberation, responsiveness and knowledge management. Additionally, knowledge gaps are identified and a research agenda for responsible innovation is proposed. This review can therefore serve as a next step in the theoretical and practical development of responsible innovation in general, and in the business context in particular. (shrink)

Do the nonverbal signals used to make social judgements differ depending on the type of judgement being made and what other nonverbal signals are visible? Experiment 1 investigated how nonverbal signals across three channels (face: angry/fearful, posture: expanded/contracted, lean: forward/backward), when viewed together, were used for judgements of emotion, threat, and status. Experiment 2 replicated Experiment 1 and explored how use of the body channels differed in making social judgements when the face channel was obscured. Both experiments found facial anger (...) linked to high anger, threat, and status ratings; facial fear was linked to low ratings. Expanded body posture increased threat and status judgements, while backward lean decreased anger and threat. With the face channel blocked (Experiment 2B), the influence of body posture increased across emotion, threat, and status judgements, while body lean was more consistent. Findings demonstrate that despite the face’s importance across types of social judgements, the body channels differentially contribute to judgements of emotion, threat and status. Further, they are differentially affected by the absence of facial information. How much face and body-related channels are used in social judgements is moderated by the type of judgement being made and the availability of other (particularly facial) channel information. (shrink)

The COVID-19 crisis opened up discussions on using online tools and platforms for academic work, e.g. for research (management) events that were originally designed as face-to-face interactions. As social scientists working in the domain of responsible research and innovation (RRI), we draft this paper to open up a dialogue on Responsible online Research and Innovation (RoRI), and deliberate particular socioethical opportunities and challenges of the onlineification in collaborative theoretical and empirical research. An RRI-inspired ‘going online’ approach would mean, we suggest, (...) trying to make academic events and research activities more inclusive, researchers’ attitude to their work more reflective and suggest processes that are more responsive to societal needs and ethical concerns. For such systematic reflection, we suggest using the RRI-heuristic provided by Owen et al., and applying the dimensions of ‘Anticipation, Inclusion, Reflection and Responsiveness’ (AIRR) in order to identify and reflect on the dilemmas involved in ‘going online’ in one’s research. (shrink)

Because corporate social responsibility (CSR) is potentially beneficial for companies, it is important to understand the factors that improve a company’s CSR practice. Scholars hypothesize that facilitating learning organization characteristics, which are divided in characteristics at the organizational and the operational level, may improve CSR implementation. These characteristics stimulate companies and their members to be critical, learn from the past, and embrace change, but there is limited empirical evidence of this approach. This study addresses this gap by surveying 280 CSR (...) professionals and performing bootstrap mediation analyses to test multiple hypotheses. Learning organization characteristics at the organizational level, play a key role in supporting CSR implementation: leadership for learning, system connection, and group learning show a direct relationship with CSR implementation. It is striking that the role of the learning organization characteristics at the operational level is only indirect; the organizational characteristics mediate their relationship with CSR implementation. (shrink)

ABSTRACTJust as accountability policies have led to increased levels of teacher data use, teachers have begun to increase the extent to which students track and analyse data about their own learnin...

Teeth are one of the most fascinating innovations of vertebrates. Their diversity of shape, size, location, and number in vertebrates is astonishing. If the molecular mechanisms underlying the morphogenesis of individual teeth are now relatively well understood, thanks to the detailed experimental work that has been performed in model organisms (mainly mouse and zebrafish), the mechanisms that control the organization of the dentition are still a mystery. Mammals display simplified dentitions when compared to other vertebrates with only a single tooth (...) row positioned in the anterior part of the mouth, whereas other vertebrates exhibit tooth rows in many locations. As proposed 60 years ago, tooth rows can be formed sequentially from an initiator tooth. Recent results in zebrafish have now largely confirmed this hypothesis. Here this observation is generalized upon and it is suggested that in most vertebrates tooth rows could form sequentially from a single initiator tooth. (shrink)

Rho/Rac proteins constitute a subgroup of the Ras superfamily of GTP hydrolases. Although originally implicated in the control of cytoskeletal events, it is currently known that these GTPases coordinate diverse cellular functions, including cell polarity, vesicular trafficking, the cell cycle and transcriptomal dynamics. In this review, we will provide an overview on the recent advances in this field regarding the mechanism of regulation and signaling, and the roles in vivo of this important GTPase family. BioEssays 29:356–370, 2007. © 2007 Wiley (...) Periodicals, Inc. (shrink)

Rearrest has been predicted by hemodynamic activity in the anterior cingulate cortex (ACC) during error-processing (Aharoni et al., 2013). Here, we evaluate the predictive power after adding an additional imaging modality in a subsample of 45 incarcerated males from Aharoni et al. (2013). Event-related potentials (ERPs) and hemodynamic activity were collected during a Go/NoGo response inhibition task. Neural measures of error-processing were obtained from the ACC and two ERP components, the error-related negativity (ERN/Ne) and the error positivity (Pe). Measures from (...) the Pe and ACC differentiated individuals who were and were not subsequently rearrested. Cox regression, logistic regression, and support vector machine (SVM) neuroprediction models were calculated. Each of these models proved successful in predicting rearrest and SVM provided the strongest results. Multimodal neuroprediction SVM models with out of sample cross-validating accurately predicted rearrest (83.33%). Offenders with increased Pe amplitude and decreased ACC activation, suggesting abnormal error-processing, were at greatest risk of rearrest. -/- . (shrink)

Companies committed to corporate social responsibility should ensure that their managers possess the appropriate competencies to effectively manage the CSR adaptation process. The literature provides insights into the individual competencies these managers need but fails to prioritize them and adequately contextualize them in a manner that makes them meaningful in practice. In this study, we contextualized the competencies within the different job roles CSR managers have in the CSR adaptation process. We interviewed 28 CSR managers, followed by a survey to (...) explore the relative importance of the competencies within each job role. Based on our analysis, we identified six distinct managerial roles, including strategic, coordinating, and stimulating roles. Next, we identified per role key individual CSR-related competencies as prioritized by the respondents. Our results show that the context, as indicated in this study by CSR managers’ job roles, indeed influenced the importance of particular CSR-related competencies, because each role seems to require a different combination and prioritization of these competencies. Moreover, the results suggest that the relative importance of these competencies within each role may be driven by business logic rather than an idealistic logic. The results are presented as a competence profile which can serve as a reflection tool and as a frame of reference to further develop the competence profile for CSR managers. (shrink)

When engaging with magic, we are moved by seemingly impossible events that contradict what we believe to be possible in the real world. We are surprised, curious, and baffled when we cannot explain how the magic we are witnessing is possible. We generally understand the events to be illusions. But how is it possible to be moved by something we know to be unreal? This problem is related to the paradox of fiction in aesthetics. Here, we introduce the problem in (...) the domain of theatrical magic, discuss possible solutions, and present a tentative account that allows us to accommodate inconsistent, seemingly incompatible beliefs at different representational levels in the viewers’ mind. (shrink)

Computational visual perception, also known as computer vision, is a field of artificial intelligence that enables computers to process digital images and videos in a similar way as biological vision does. It involves methods to be developed to replicate the capabilities of biological vision. The computer vision’s goal is to surpass the capabilities of biological vision in extracting useful information from visual data. The massive data generated today is one of the driving factors for the tremendous growth of computer vision. (...) This survey incorporates an overview of existing applications of deep learning in computational visual perception. The survey explores various deep learning techniques adapted to solve computer vision problems using deep convolutional neural networks and deep generative adversarial networks. The pitfalls of deep learning and their solutions are briefly discussed. The solutions discussed were dropout and augmentation. The results show that there is a significant improvement in the accuracy using dropout and data augmentation. Deep convolutional neural networks’ applications, namely, image classification, localization and detection, document analysis, and speech recognition, are discussed in detail. In-depth analysis of deep generative adversarial network applications, namely, image-to-image translation, image denoising, face aging, and facial attribute editing, is done. The deep generative adversarial network is unsupervised learning, but adding a certain number of labels in practical applications can improve its generating ability. However, it is challenging to acquire many data labels, but a small number of data labels can be acquired. Therefore, combining semisupervised learning and generative adversarial networks is one of the future directions. This article surveys the recent developments in this direction and provides a critical review of the related significant aspects, investigates the current opportunities and future challenges in all the emerging domains, and discusses the current opportunities in many emerging fields such as handwriting recognition, semantic mapping, webcam-based eye trackers, lumen center detection, query-by-string word, intermittently closed and open lakes and lagoons, and landslides. (shrink)