Project description:Dendritic cells (DCs) are essential components of the immune system and contribute to immune responses by activating or tolerizing T cells. DCs comprise a heterogeneous mixture of subsets that are located throughout the body and possess distinct and specialized functions. Although numerous defined precursors from the bone marrow and spleen have been identified, emerging data in the field suggests many alternative routes of DC differentiation from precursors with multilineage potential. Here, we discuss how the combinatorial expression of transcription factors can promote one DC lineage over another as well as the integration of cytokine signaling in this process.
Project description:Veterinary anaesthesia requires theoretical knowledge and quick decision-making skills. Traditional education may not adequately prepare students, while simulation-based learning enhances engagement and skill development. This study evaluates the effectiveness of a Twine-based web system in improving experiential learning, engagement, knowledge retention, and decision-making skills in veterinary anaesthesia students. Five interactive clinical cases were developed using Twine, simulating realistic anaesthesia scenarios with decision points and gamified elements, such as scoring systems and resource management. These modules were accessible on various devices via the web. Following a workshop for second- to fourth-year students of the Degree in Veterinary Sciences, an anonymous survey assessed the module's effectiveness. Quantitative data were analysed descriptively, while qualitative feedback was processed through a hybrid AI-human thematic analysis. Out of 849 invited students, 367 responded (42% response rate). Feedback was highly positive; 90.8% found it effective for training, and 97.0% agreed it improved knowledge. User-friendliness was rated as "easy" or "very easy" by 94.6%. Regarding overall satisfaction, 96.7% of students described the workshop as "good" or "excellent". Some participants suggested improvements in mobile device compatibility and the need for additional resources to understand the concepts better. Twine's interactive format fosters experiential learning while reducing reliance on live animals, aligning with modern ethical standards. Its accessibility via web and translation-enabled browsers enhances its reach. Future research should examine Twine's impact on clinical skills retention and adaptability in various educational contexts, providing a flexible approach to veterinary anaesthesia education through gamified learning.
Project description:IntroductionLearning how to lead engaging teaching sessions is critical for faculty development and for optimizing teaching opportunities. We developed an interactive workshop to provide an evidence-based framework for designing and facilitating case-based discussions.MethodsThis workshop was designed as a 150-minute large-group session, though a 90-minute session is possible. Six to 10 students per facilitated group is optimal. Faculty training requires approximately 30 minutes prior to the session. Associated materials include guidelines to prepare faculty facilitators and participants for the large-group discussion and small-group practice sessions with role-plays. Also included are two prompting cases, a template for designing a large- or small-group session, a form to guide constructive feedback in the role-plays, and an evaluation form.ResultsThis workshop was accepted for presentation at two national conferences in 2016: the Pediatric Academic Societies Meeting (PAS) and the Pediatric Hospital Medicine Conference (PHM). Average responses to "Workshop was a valuable use of my time" were 4.93 out of 5 (PAS) and 4.45 out of 5 (PHM). Average responses to "I learned information I can apply at my home institution" were 4.93 out of 5 (PAS) and 4.80 out of 5 (PHM).DiscussionThis large- and small-group teaching module has been incorporated into multiple pediatric residency programs and rated as highly effective by learners. Learning how to develop engaging, objective-focused group teaching sessions is an essential skill that residents, chief residents, fellows, and faculty must master to make the most of teaching opportunities.
Project description:This paper reports evidence that an individual meeting with a study counselor at high school significantly improves the quality of choice of tertiary educational field, as self-assessed 18 months after graduation from college. To address endogeneity, we explore the variation in study counseling practices between schools as an instrumental variable (IV). Following careful scrutiny of the validity of the IV, our results indicate a significant and positive influence of study counseling on the quality of educational choice, foremost among males and those with low educated parents. The overall result is stable across a number of robustness checks.
Project description:People often use expert advice when making decisions in our society, but how we are influenced by this advice has yet to be understood. To address this, using functional magnetic resonance imaging, we provided expert and novice advice to participants during an estimation task. Participants reported that they valued expert advice more than novice advice, and activity in the ventral striatum correlated with this valuation, even before decisions with the advice were made. When using advice, participants compared their initial opinion to their advisor's opinion. This comparison, termed the "opinion difference", influenced advice utilization and was represented in reward-sensitive brain regions. Finally, the left lateral orbitofrontal cortex integrated both the size of the opinion difference and the advisor's level of expertise, and average activity in this area correlated with mean advice utilization across participants. Taken together, these findings provide neural evidence for how advice engenders behavioral change during the decision-making process.
Project description:Well-trained clinicians may be able to provide diagnosis and prognosis from very short biomarker series using information and experience gained from previous patients. Although mathematical methods can potentially help clinicians to predict the progression of diseases, there is no method so far that estimates the patient state from very short time-series of a biomarker for making diagnosis and/or prognosis by employing the information of previous patients. Here, we propose a mathematical framework for integrating other patients' datasets to infer and predict the state of the disease in the current patient based on their short history. We extend a machine-learning framework of "prediction with expert advice" to deal with unstable dynamics. We construct this mathematical framework by combining expert advice with a mathematical model of prostate cancer. Our model predicted well the individual biomarker series of patients with prostate cancer that are used as clinical samples.
Project description:Individual voluntary climate action could contribute to closing the gap between global emission targets and the instruments in place. However, complex regulatory frameworks make it difficult for individuals to understand which actions align with their goals. Expert advice might provide guidance, but it is not trivial how detailed the advice should be. In a large consequential choice experiment with five informational load conditions, this paper uses the voluntary cancellation of European Union Allowances as an application to narrow down a minimum amount of information required to induce effective actions. We find a clear pattern of advice being processed and followed, even if it includes a demanding level of detail and counters prior convictions. Moreover, a mere assertion is highly effective already. These results are good news for efforts to increase the effectiveness of voluntary climate action.
Project description:BackgroundThe overall evidence for adverse health effects of electromagnetic fields (EMF) at levels of exposure normally experienced by the public is generally considered weak. However, whether long-term health effects arise remains uncertain and scientific policy advice is therefore given against a background of uncertainty. Several theories exist about different roles that experts may take when they provide advice on complex issues such as EMF. To provide empirical evidence for these theories, we conducted an expert consultation with as main research question: What are the different roles of EMF experts when they provide policy advice?MethodsQ methodology was used to empirically test theoretical notions on the existence and determinants of different expert roles and to analyze which roles actually play out in the domain of EMF. Experts were selected based on a structured nominee process. In total 32 international EMF experts participated. Responses were analyzed using Principal Component Analysis and for the open questions we used Atlas.ti.ResultsFour expert roles were found. Most striking differences between the four roles are whether experts consider current EMF policies adequate or not, whether additional -precautionary- measures are needed, and how experts view their position vis-à-vis policymakers and/or other stakeholders.ConclusionThis empirical study provides support for the so far mainly theoretical debate about the existence of different roles of experts when they give policy advice. The experts' assessment of the degree of uncertainty of the issue turned out to be highly associated with their role. We argue that part of the controversy that exists in the debate regarding scientific policy advice on EMF is about different values and roles.
Project description:We investigated behavioral and neurobiological mechanisms by which risk-averse advice, provided by an expert, affected risky decisions across three developmental groups [early adolescents (12-14 years), late adolescents (15-17 years), adults (18+ years)]. Using cumulative prospect theory, we modeled choice behavior during a risky-choice task. Results indicate that advice had a significantly greater impact on risky choice in both adolescent groups than in adults. Using functional magnetic resonance imaging, we investigated the neural correlates of this behavioral effect. Developmental effects on correlations between brain activity and valuation parameters were obtained in regions that can be classified into (i) cognitive control regions, such as dorsolateral prefrontal cortex (DLPFC) and ventrolateral PFC; (ii) social cognition regions, such as posterior temporoparietal junction; and (iii) reward-related regions, such as ventromedial PFC (vmPFC) and ventral striatum. Within these regions, differential effects of advice on neural correlates of valuation were observed across development. Specifically, advice increased the correlation strength between brain activity and parameters reflective of safe choice options in adolescent DLPFC and decreased correlation strength between activity and parameters reflective of risky choice options in adult vmPFC. Taken together, results indicate that, across development, distinct brain systems involved in cognitive control and valuation mediate the risk-reducing effect of advice during decision making under risk via specific enhancements and reductions of the correlation strength between brain activity and valuation parameters.