The objective was to identify translational researchers' training and development needs, preferences, and barriers to attending training. This cross-sectional study involved an online questionnaire survey. The research population comprised a convenience sample of translational researchers and support staff (N = 798) affiliated with the National Institute for Health Research Oxford Biomedical Research Centre. The response rate was 24%. Of 189 respondents, 114 were women (60%) and 75 were men (40%). The respondents were mainly research scientists (31%), medical doctors and dentists (17%), and research nurses and midwives (16%). Many of the respondents had attended at least one training course in the last year (68%). Training in statistics and data analysis was the most common training received (20%). Leadership training was the most wanted training (25%). Morning was the most preferred time of training (60%). Half a day was the ideal duration of a training course (41%). The main teaching hospital site was the most preferred location of training (46%). An interactive workshop was the most favored delivery style of training (52%). Most common barriers to attending training were the lack of time (31%), work (21%) and clinical commitments (19%), and family and childcare responsibilities (14%). Some differences in training needs, preferences, and barriers were found by gender and role, though these were not statistically significant. Translational researchers want short, easily accessible, and interactive training sessions during the working day. The training needs, preferences, and barriers to attending training need to be considered while developing inclusive training programs in biomedical research settings.
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http://dx.doi.org/10.1111/cts.13289 | DOI Listing |
In the context of Chinese clinical texts, this paper aims to propose a deep learning algorithm based on Bidirectional Encoder Representation from Transformers (BERT) to identify privacy information and to verify the feasibility of our method for privacy protection in the Chinese clinical context. We collected and double-annotated 33,017 discharge summaries from 151 medical institutions on a municipal regional health information platform, developed a BERT-based Bidirectional Long Short-Term Memory Model (BiLSTM) and Conditional Random Field (CRF) model, and tested the performance of privacy identification on the dataset. To explore the performance of different substructures of the neural network, we created five additional baseline models and evaluated the impact of different models on performance.
View Article and Find Full Text PDFFuture Med Chem
January 2025
School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation, Yantai University, Yantai, China.
J Sports Sci
January 2025
Department of Tourism, Sport and Society, Lincoln University, Christchurch, New Zealand.
This study investigates the effectiveness of blood flow restriction (BFR) training in maintaining athletic performance during a taper phase in basketball players. The taper phase aims to reduce external load while maintaining training intensity. Seventeen experienced basketball players were randomised into two groups: a placebo group ( = 8, 22.
View Article and Find Full Text PDFSyst Biol Reprod Med
December 2025
Department of Biosciences and Technology for Food, Agriculture and Environment, University of Teramo, Teramo, Italy.
MicroRNAs (miRNAs) have acquired an increased recognition to unravel the complex molecular mechanisms underlying Diminished Ovarian Reserve (DOR), one of the main responsible for infertility. To investigate the impact of miRNA profiles in granulosa cells and follicular fluid, crucial players in follicle development, this study employed a computational network theory approach to reconstruct potential pathways regulated by miRNAs in granulosa cells and follicular fluid of women suffering from DOR. Available data from published research were collected to create the FGC_MiRNome_MC, a representation of miRNA target genes and their interactions.
View Article and Find Full Text PDFFront Biosci (Landmark Ed)
January 2025
Department of Cardiothoracic Surgery, The Affiliated Jiangyin Hospital of Nantong University, 214400 Jiangyin, Jiangsu, China.
Background: This study investigates the role of small ubiquitin-like modifier (SUMO)-specific peptidase 5 (SENP5), a key regulator of SUMOylation, in esophageal squamous cell carcinoma (ESCC), a lethal disease, and its underlying molecular mechanisms.
Methods: Differentially expressed genes between ESCC mouse oesophageal cancer tissues and normal tissues were analysed via RNA-seq; among them, SENP5 expression was upregulated, and this gene was selected for further analysis. Immunohistochemistry and western blotting were then used to validate the increased protein level of SENP5 in both mouse and human ESCC samples.
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