Background: Honorary authorship refers to the practice of naming an individual who has made little or no contribution to a publication as an author. Honorary authorship inflates the output estimates of honorary authors and deflates the value of the work by authors who truly merit authorship. This manuscript presents the protocol for a systematic review that will assess the prevalence of five honorary authorship issues in health sciences. Methods: Surveys of authors of scientific publications in health sciences that assess prevalence estimates will be eligible. No selection criteria will be set for the time point for measuring outcomes, the setting, the language of the publication, and the publication status. Eligible manuscripts are searched from inception onwards in PubMed, Lens.org, and Dimensions.ai. Two calibrated authors will independently search, determine eligibility of manuscripts, and conduct data extraction. The quality of each review outcome for each eligible manuscript will be assessed with a 14-item checklist developed and piloted for this review. Data will be qualitatively synthesized and quantitative syntheses will be performed where feasible. Criteria for precluding quantitative syntheses were defined a priori. The pooled random effects double arcsine transformed summary event rates of five outcomes on honorary authorship issues with the pertinent 95% confidence intervals will be calculated if these criteria are met. Summary estimates will be displayed after back-transformation. Stata software (Stata Corporation, College Station, TX, USA) version 16 will be used for all statistical analyses. Statistical heterogeneity will be assessed using Tau2 and Chi2 tests and I2 to quantify inconsistency. Discussion: The outcomes of the planned systematic review will give insights in the magnitude of honorary authorship in health sciences and could direct new research studies to develop and implement strategies to address this problem. However, the validity of the outcomes could be influenced by low response rates, inadequate research design, weighting issues, and recall bias in the eligible surveys. Systematic review registration: This protocol was registered a priori in the Open Science Framework (OSF) link: https://osf.io/5nvar/.
Discussions about the importance of the built environment for healthcare delivery extend at least as far back as Hippocrates 1 (400 BC). The iconic Florence Nightingale (1859) also strongly believed in the influence the indoor environment has on the progress of disease and recovery. Today, the role of the built environment in the healing process is of growing interest to healthcare providers, environmental psychologists, consultants, and architects. Although there is a mounting evidence 1 linking healthcare environments to health outcomes, because of the varying quality of that evidence, there has also been a lack of clarity around what can and cannot be achieved through design. Given the ageing of society and the ever increasing numbers of persons with dementia in the Western World, the need for detailed knowledge about aged care environments has also become increasingly important. The mental and physical health state of these persons is extremely fragile and their needs demand careful consideration. Although environmental interventions constitute only a fraction of what is needed for people with dementia to remain as independent as possible, there is now sufficient evidence (2, 3) to argue they can be used as a first-line treatment, rather than beginning with farmalogical interventions.
Currently, many novel innovative materials and manufacturing methods are developed in order to help businesses for improving their performance, developing new products, and also implement more sustainability into their current processes. For this purpose, additive manufacturing (AM) technology has been very successful in the fabrication of complex shape products, that cannot be manufactured by conventional approaches, and also using novel high-performance materials with more sustainable aspects. The application of bioplastics and biopolymers is growing fast in the 3D printing industry. Since they are good alternatives to petrochemical products that have negative impacts on environments, therefore, many research studies have been exploring and developing new biopolymers and 3D printing techniques for the fabrication of fully biobased products. In particular, 3D printing of smart biopolymers has attracted much attention due to the specific functionalities of the fabricated products. They have a unique ability to recover their original shape from a significant plastic deformation when a particular stimulus, like temperature, is applied. Therefore, the application of smart biopolymers in the 3D printing process gives an additional dimension (time) to this technology, called four-dimensional (4D) printing, and it highlights the promise for further development of 4D printing in the design and fabrication of smart structures and products. This performance in combination with specific complex designs, such as sandwich structures, allows the production of for example impact-resistant, stress-absorber panels, lightweight products for sporting goods, automotive, or many other applications. In this study, an experimental approach will be applied to fabricate a suitable biopolymer with a shape memory behavior and also investigate the impact of design and operational parameters on the functionality of 4D printed sandwich structures, especially, stress absorption rate and shape recovery behavior.
Nowadays, there is particular attention towards the recycling of waste materials which is a critical issue for environmental protection and waste management. Polymer materials have numerous applications in daily life products. As a result, plastic pollution has become one of the biggest threats to nature, therefore recycling or replacing them with bio-based materials can significantly help the ecosystems. So far, many studies have investigated the possibility of reusing plastic waste, as a second life, to obtain consumable products. The 3D printing market is one of the great sectors that can utilize a wide range of thermoplastic polymers. This technology provides a unique capability to produce complex shape structures and products that cannot be produced by other manufacturing processes. In particular, Fused Filament Fabrication (FFF) is a common printing technology that consumes thermoplastic filaments including recycled materials. This printing technique has been also very successful in using novel high-performance materials with sustainable aspects. The reSHAPE project aims to develop novel smart filaments, with shape memory properties, from recycled materials. The filaments can be applied for the design and fabrication of smart products with dynamic behavior. In particular, the fabricated parts can shift from a plastic-deformed shape into a recovered original shape when being triggered by an external stimulus, like temperature. For that, we will specifically apply recycled polylactic acid (PLA) and thermoplastic polyurethane (TPU) as the main materials in this study. Because they both have proper shape memory properties and also TPU can potentially enhance the material flexibility which is required in the design and fabrication of functional components. As a result, this study will obtain a proper combination of these materials with good printability and functionality that can be used for a wide range of products from the aerospace and automotive sectors to soft robotics and medical devices.
