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We implemented and evaluated a hybrid 4-week arts-based elective for clinical medical students to support flourishing. Five students participated in early 2022. Twelve sessions occurred in-person at art museums and other cultural centers, and five occurred online. Sessions incorporated varied arts-based learning activities, including Visual Thinking Strategies, a jazz seminar, and a mask-making workshop. We evaluated the course via weekly reflective essays, interviews 6 weeks after the course, and pre-post surveys that included four scales with clinical relevance: capacity for wonder (CfW), tolerance for ambiguity (TFA), interpersonal reactivity index, and openness to diversity. Qualitatively, the course helped learners: 1) reconnect with individual characteristics and interests that had been neglected during medical education; 2) better appreciate others' perspectives; 3) develop identities as physicians; and 4) engage in quiet reflection, renewing their sense of purpose. Quantitatively, pre-post mean totals increased for the CfW (32.0 [SD 6.8] vs 44.0 [SD 5.7], p=.006) and TFA scales (16.4 [SD 5.2] vs 24.2 [SD 6.9], p=.033). This elective facilitated learners' connecting with themselves, others, and their profession with improvement in clinically-relevant measures. This provides further evidence that arts-based education can foster professional identity formation and be transformative for students.

Shared decision making (SDM) has been characterized as an ethical desideratum in the redesign of healthcare systems, further establishing respect for the patient as an individual as fundamental to patient-clinician interactions. Yet SDM makes implicit political claims, which require evaluation in the local contexts where SDM is applied. For instance, in one common formulation, SDM involves (a) a scientifically expert clinician and patient deliberating together regarding (b) a decision with equally valid options according to objective criteria (equipoise) so that (c) the option chosen conforms with the patient's clarified values and preferences. In this formulation, patient and clinician meet for an interchange of information, beliefs, and emotions as atomized individuals operating in an unstructured, apolitical encounter. Excluded from this model, however, are considerations of power (how clinicians in dialogue with biomedicine, state, and society decide what counts as \"equipoise,\" and how their options as independent actors are constrained by a political-social milieu) and independent agency (what it means when patients, at various degrees of disadvantage, are assigned the burden, or opportunity, of choice). Considered even more broadly, SDM frameworks do not include the ethical prequels and sequels of such decisions. What social determinants \"count\" as healthcare decisions, or are susceptible to SDM, is relevant to its employment as an ethical approach to repairing patients' lives and systems. Whether housing, political representation, financial resources, and insurance are topics for which SDM can be brought to bear is a question that can be addressed only outside its framework. Our presentation seeks to make the political assumptions in SDM more transparent. In doing so, we will apply insights from ethics and the history and philosophy of medicine to suggest opportunities for linking the possible benefits of SDM to a clinical setting embedded in a more complicated social world.

The growing world population and global increases in the standard of living both result in an increasing demand for food, feed and other plant‐derived products. In the coming years, plant‐based research will be among the major drivers ensuring food security and the expansion of the bio‐based economy. Crop productivity is determined by several factors, including the available physical and agricultural resources, crop management, and the resource use efficiency, quality and intrinsic yield potential of the chosen crop. This review focuses on intrinsic yield potential, since understanding its determinants and their biological basis will allow to maximize the plant's potential in food and energy production. Yield potential is determined by a variety of complex traits that integrate strictly regulated processes and their underlying gene regulatory networks. Due to this inherent complexity, numerous potential targets have been identified that could be exploited to increase crop yield. These encompass diverse metabolic and physical processes at the cellular, organ and canopy level. We present an overview of some of the distinct biological processes considered to be crucial for yield determination that could further be exploited to improve future crop productivity. The manuscript is part of a review collection from the CropBooster‐P project (https://www.cropbooster‐p.eu/). In this review, we present an overview of some of the distinct biological processes considered to be crucial for yield determination and recent updates in the respective fields. In the future, these could further be exploited to improve crop productivity.

Tracking the coordinated activity of cellular events through volumes of intact tissue is a major challenge in biology that has inspired significant technological innovation. Yet scanless measurement of the high-speed activity of individual neurons across three dimensions in scattering mammalian tissue remains an open problem. Here we develop and validate a computational imaging approach (SWIFT) that integrates high-dimensional, structured statistics with light field microscopy to allow the synchronous acquisition of single-neuron resolution activity throughout intact tissue volumes as fast as a camera can capture images (currently up to 100 Hz at full camera resolution), attaining rates needed to keep pace with emerging fast calcium and voltage sensors. We demonstrate that this large field-of-view, single-snapshot volume acquisition method which requires only a simple and inexpensive modification to a standard fluorescence microscope enables scanless capture of coordinated activity patterns throughout mammalian neural volumes. Further, the volumetric nature of SWIFT also allows fast in vivo imaging, motion correction, and cell identification throughout curved subcortical structures like the dorsal hippocampus, where cellular-resolution dynamics spanning hippocampal subfields can be simultaneously observed during a virtual context learning task in a behaving animal. SWIFT's ability to rapidly and easily record from volumes of many cells across layers opens the door to widespread identification of dynamical motifs and timing dependencies among coordinated cell assemblies during adaptive, modulated, or maladaptive physiological processes in neural systems.