Commentary: Does this model reality?
Ontology highlight
ABSTRACT:
SUBMITTER: Faza NN
PROVIDER: S-EPMC9390224 | biostudies-literature | 2022 Mar
REPOSITORIES: biostudies-literature
Publications
Similar Datasets
Project description:The field of radiation oncology is rapidly advancing through technological and biomedical innovation backed by robust research evidence. However, cancer professionals are notoriously time-poor, meaning there is a need for high quality, accessible and tailored oncologic education programs. While traditional teaching methods including lectures and other in-person delivery formats remain important, digital learning (DL) has provided additional teaching options that can be delivered flexibly and on-demand from anywhere in the world. While evidence of this digital migration has been evident for some time now, it has not always been met with the same enthusiasm by the teaching community, in part due to questions about its pedagogical effectiveness. Many of these reservations have been driven by a rudimentary utilisation of the medium and inexperience with digital best-practice. With increasing familiarity and understanding of the medium, increasingly sophisticated and pedagogically-driven learning solutions can be produced. This article will review the application of immersive digital learning tools in radiation oncology education. This includes first and second-generation Virtual Reality (VR) environments and Augmented Reality (AR). It will explore the data behind, and best-practice application of, each of these tools as well as giving practical tips for educators who are looking to implement (or refine) their use of these learning methods. It includes a discussion of how to match the digital learning methods to the content being taught and ends with a horizon scan of where the digital medium may take us in the future. This article is the second in a two-part series, with the companion piece being on Screen-Based Digital Learning Methods in Radiation Oncology. Overall, the digital space is well-placed to cater to the evolving educational needs of oncology learners. Further uptake over the next decade is likely to be driven by the desire for flexible on demand delivery, high-yield products, engaging delivery methods and programs that are tailored to individual learning needs. Educational programs that embrace these principles will have unique opportunities to thrive in this space.
| S-EPMC9508152 | biostudies-literature
Project description:Virtual reality (VR) offers many opportunities for post-stroke rehabilitation. However, "VR" can refer to several types of computer-based rehabilitation systems. Since these systems may impact the feasibility and the efficacy of VR interventions, consistent terminology is important. In this study, we aimed to optimize the terminology for VR-based post-stroke rehabilitation by assessing whether and how review papers on this topic defined VR and what types of mixed reality systems were discussed. In addition, this review can inspire the use of consistent terminology for other researchers working with VR. We assessed the use of the term VR in review papers on post-stroke rehabilitation extracted from Scopus, Web of Science and PubMed. We also developed a taxonomy distinguishing 16 mixed reality systems based on three factors: immersive versus semi-immersive displays, the way in which real and virtual information is mixed, and the main input device. 64% of the included review papers (N = 121) explicitly defined VR and 33% of them described different subtypes of VR, with immersive and non-immersive VR as the most common distinction. The most frequently discussed input devices were motion-capture cameras and handheld devices, while regular 2D monitors were the most frequently mentioned output devices. Our analysis revealed that reviews on post-stroke VR rehabilitation did not or only broadly defined "VR" and did not focus on a specific system. Since the efficacy and feasibility of rehabilitation may depend on the specific system, we propose a new data-driven taxonomy to distinguish different systems, which is expected to facilitate communication amongst researchers and clinicians working with virtual reality.
| S-EPMC8176935 | biostudies-literature
Project description:The Oncology Care Model (OCM) is a US Centers for Medicare & Medicaid Services (CMS) specialty model implemented in 2016, to provide higher quality, more highly coordinated oncology care at the same or lower costs. Under the OCM, oncology clinics enter into payment arrangements that include financial and performance accountability for patients receiving chemotherapy treatment. In addition, OCM clinics commit to providing enhanced services to Medicare beneficiaries, including care coordination, navigation, and following national treatment guidelines. Nutrition is a component of best-practice cancer care, yet it may not be addressed by OCM providers even though up to 80% of patients with cancer develop malnutrition and poor nutrition has a profound impact on cancer treatment and survivorship. Only about half of US ambulatory oncology settings screen for malnutrition, registered dietitian nutritionists (RDNs) are not routinely employed by oncology clinics, and the medical nutrition therapy they provide is often not reimbursed. Thus, adequate nutrition care in US oncology clinics remains a gap area. Some oncology clinics are addressing this gap through implementation of nutrition-focused quality improvement programs (QIPs) but many are not. What is needed is a change of perspective. This paper outlines how and why quality nutrition care is integral to the OCM and can benefit patient health and provider outcomes.
| S-EPMC8550270 | biostudies-literature
Project description: Not available
| S-EPMC9079716 | biostudies-literature
Project description: Not available
| S-EPMC5241278 | biostudies-literature
Project description:The Preisach model has been a cornerstone in the fields of ferromagnetism and ferroelectricity since its inception. It describes a real, non-ideal, ferroic material as the sum of a distribution of ideal 'hysterons'. However, the physical reality of the model in ferroelectrics has been hard to establish. Here, we experimentally determine the Preisach (hysteron) distribution for two ferroelectric systems and show how its broadening directly relates to the materials' morphology. We connect the Preisach distribution to measured microscopic switching kinetics that underlay the macroscopic dispersive switching kinetics as commonly observed for practical ferroelectrics. The presented results reveal that the in principle mathematical construct of the Preisach model has a strong physical basis and is a powerful tool to explain polarization switching at all time scales in different types of ferroelectrics. These insights lead to guidelines for further advancement of the ferroelectric materials both for conventional and multi-bit data storage applications.
| S-EPMC6199281 | biostudies-literature
Project description:Recent preclinical and clinical evidence using prazosin indicates that α(1) -blockade may represent a new approach to treat alcohol dependence (AD). While most of the alcohol research on α(1) -blockade has been conducted testing prazosin, O'Neil and colleagues recently performed a set of preclinical experiments testing another α(1) -blocker, doxazosin, which has a longer half-life that may enhance clinical utility. Doxazosin and prazosin share the same chemical structure, in which the central element is a piperazine ring. O'Neil and colleagues' main results are that doxazosin significantly reduced alcohol intake without affecting locomotor activity. As such, O'Neil and colleagues provide the first preclinical evidence of the possible role of doxazosin in AD. Additional translational research is needed to further test this hypothesis.
| S-EPMC4975776 | biostudies-literature
Project description: Not available
| S-EPMC10643205 | biostudies-literature
Project description: Not available
| S-EPMC2965511 | biostudies-literature
Project description:50,000 cells were injected orthotopically into the inguinal fat pad of a Nod-Scid-Gamma (NSG) immuno-compromised mouse. Injected cells were 80% unlabelled 4T1 cells (parental population), and 20% ZsGreen-labelled 4T1-T cells (clone isolated in Wagenblast et Al, Nature, 2015). Tumour were allowed to develop for 20 days, and then collected during necropsy. Disaggegated cells were processed through the 10X genomics Single Cell 3' gene expression pipeline. This data is intended as an example dataset for a novel virtual reality viewer for single-cell data described in Bressan et Al, Nat. Cancer, 2021 (submitted)
2022-06-14 | GSE178069 | GEO