Background: In this investigation, we explore the literature regarding neuroregeneration from the 1700s to the present. The regeneration of central nervous system neurons or the regeneration of axons from cell bodies and their reconnection with other neurons remains a major hurdle. Injuries relating to war and accidents attracted medical professionals throughout early history to regenerate and reconnect nerves. Early literature till 1990 lacked specific molecular details and is likely provide some clues to conditions that promoted neuron and/or axon regeneration. This is an avenue for the application of natural language processing (NLP) to gain actionable intelligence. Post 1990 period saw an explosion of all molecular details. With the advent of genomic, transcriptomics, proteomics, and other omics—there is an emergence of big data sets and is another rich area for application of NLP. How the neuron and/or axon regeneration related keywords have changed over the years is a first step towards this endeavor.
Methods: Specifically, this article curates over 600 published works in the field of neuroregeneration. We then apply a dynamic topic modeling algorithm based on the Latent Dirichlet allocation (LDA) algorithm to assess how topics cluster based on topics.
Results: Based on how documents are assigned to topics, we then build a recommendation engine to assist researchers to access domain-specific literature based on how their search text matches to recommended document topics. The interface further includes interactive topic visualizations for researchers to understand how topics grow closer and further apart, and how intra-topic composition changes over time.
Conclusions: We present a recommendation engine and interactive interface that enables dynamic topic modeling for neuronal regeneration.
Background: This study aims to investigate the current status and influencing factors of evidence-based practice (EBP) with knowledge, attitude and practice (KAP) of ophthalmic nursing staffs in south China.
Methods: Using a convenient sampling method, we selected 429 ophthalmic nursing staffs from 28 ophthalmology specialist hospitals or general hospitals in south China, and investigated their general information and implemented the evidence-based practice questionnaire (EBPQ).
Results: The scores of EBP and KAP of ophthalmic nursing staffs in south China from high to low were as follows: practical attitude (4.85±1.07 points), practical behavior (4.42±1.14 points), practical knowledge and skills (4.30±0.65 points). The single factor analysis results showed that the first graduation degree, technical title, scientific research achievements, whether or not participate in EBP training, the frequency of reading literature at ordinary time, and whether or not participate in EBP project were the influencing factors of EBP level; the multi-factor analysis results showed that EBP attitude, EBP knowledge and skills, whether or not participate in EBP training were independent influencing factors of EBP.
Conclusions: The ophthalmic nursing staffs in south China have a positive attitude towards EBP, however, their EBP knowledge, skills and behavioral capabilities need to be focused and improved. The ophthalmic nursing administrators should fully master the factors affecting the implementation of EBP, and take effective intervention measurement to improve the EBP abilities of ophthalmic nursing staffs, and promote the development of EBP in ophthalmology specialty.
Background and Objective: Vitreoretinal surgery requires fine micro-surgical training and handling of delicate tissue. To aid in the training of residents and fellows, unique educational modalities exist to help facilitate the development of these microsurgical skills. From virtual simulators to artificial eye models, simulation of the posterior segment has gained an increased focus in vitreoretinal surgical training programs. Development of surgical curricula for vitreoretinal training and attainment of surgical milestones has been a key component in integrating these educational training modalities. We will explore various simulators, eye models, and potential rubrics and discuss unique ways each may help and complement one another to train future vitreoretinal surgeons.
Methods: We conducted a systematic PubMed search of various review studies (from publications in English ranging from January 1978 to December 2020) discussing surgical simulators, eye models, and surgical rubrics for vitreoretinal surgery and their potential impacts upon training.
Key Contents and Findings: Our review assesses the benefits and applicability of various simulators, eye models, and surgical rubrics upon training.
Conclusions: Utilization of vitreoretinal surgical training tools may aid in complementing the hands-on surgical training experience for vitreoretinal surgical fellows. By using simulators and rubrics, we may better be able to standardize training for reaching vitreoretinal surgical milestones and providing adequate feedback to improve surgical competency and ultimately patient outcomes.
