Results 31 to 40 of about 1,411,207 (312)

Deep learning for COVID-19 topic modelling via Twitter: Alpha, Delta and Omicron [PDF]

arXiv, 2023
Topic modelling with innovative deep learning methods has gained interest for a wide range of applications that includes COVID-19. Topic modelling can provide, psychological, social and cultural insights for understanding human behaviour in extreme events such as the COVID-19 pandemic. In this paper, we use prominent deep learning-based language models
arxiv  

Using machine learning and information visualisation for discovering latent topics in Twitter news [PDF]

, 2019
We propose a method to discover latent topics and visualise large collections of tweets for easy identification and interpretation of topics, and exemplify its use with tweets from a Colombian mass media giant in the period 2014--2019. The latent topic analysis is performed in two ways: with the training of a Latent Dirichlet Allocation model, and with
arxiv   +1 more source

Health sciences libraries’ subscriptions to journals: expectations of general practice departments and collection-based analysis

Journal of the Medical Library Association, 2018
Objective: The aims of this study were to (i) assess the expectations of general practice departments regarding health sciences libraries’ subscriptions to journals and (ii) describe the current general practice journal collections of health sciences ...
David Barreau, Céline Bouton, Vincent Renard, Jean-Pascal Fournier   +3 more
doaj   +1 more source

Topic Modelling of Swedish Newspaper Articles about Coronavirus: a Case Study using Latent Dirichlet Allocation Method [PDF]

arXiv, 2023
Topic Modelling (TM) is from the research branches of natural language understanding (NLU) and natural language processing (NLP) that is to facilitate insightful analysis from large documents and datasets, such as a summarisation of main topics and the topic changes.
arxiv  

Subpar reporting of pre‐analytical variables in RNA‐focused blood plasma studies

Molecular Oncology, EarlyView.
Pre‐analytical variables strongly influence the analysis of extracellular RNA (cell‐free RNA; exRNA) derived from blood plasma. Their reporting is essential to allow interpretation and replication of results. By evaluating 200 exRNA studies, we pinpoint a lack of reporting pre‐analytical variables associated with blood collection, plasma preparation ...
Céleste Van Der Schueren, Philippe Decruyenaere, Francisco Avila Cobos, Johanna Bult, Jill Deleu, Laudonia Lidia Dipalo, Hetty Hilde Helsmoortel, Eva Hulstaert, Annelien Morlion, Elena Ramos Varas, Kathleen Schoofs, Wim Trypsteen, Eveline Vanden Eynde, Hanne Van Droogenbroeck, Kimberly Verniers, Jo Vandesompele, Anneleen Decock   +16 more
wiley   +1 more source

Phenotypic continuum of NFU1‐related disorders

Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 2025-2035, December 2022., 2022
Abstract Bi‐allelic variants in Iron–Sulfur Cluster Scaffold (NFU1) have previously been associated with multiple mitochondrial dysfunctions syndrome 1 (MMDS1) characterized by early‐onset rapidly fatal leukoencephalopathy. We report 19 affected individuals from 10 independent families with ultra‐rare bi‐allelic NFU1 missense variants associated with a
Rauan Kaiyrzhanov, Maha S. Zaki, Tracy Lau, Sambuddha Sen, Reza Azizimalamiri, Mina Zamani, Gözde Yeşil Sayin, Taru Hilander, Stephanie Efthymiou, Viorica Chelban, Ruth Brown, Kyle Thompson, Maria Irene Scarano, Jaya Ganesh, Kairgali Koneev, Ismail Musab Gülaçar, Richard Person, Dinara Sadykova, Yerdan Maidyrov, Tahereh Seifi, Aizhan Zadagali, Geneviève Bernard, Katrina Allis, Houda Zghal Elloumi, Amanda Lindy, Ehsan Taghiabadi, Sumit Verma, Rachel Logan, Brian Kirmse, Renkui Bai, Shaimaa M. Khalaf, Mohamed S. Abdel‐Hamid, Alireza Sedaghat, Gholamreza Shariati, Mahmoud Issa, Jawaher Zeighami, Hasnaa M. Elbendary, Garry Brown, Robert W. Taylor, Hamid Galehdari, Joseph J. Gleeson, Christopher J. Carroll, James A. Cowan, Andres Moreno‐De‐Luca, Henry Houlden, Reza Maroofian   +45 more
wiley   +1 more source

Factors associated with the Journal Impact Factor (JIF) for Urology and Nephrology Journals

International Brazilian Journal of Urology, 2015
Purpose: The Journal Impact Factor (JIF) is an index used to compare a journal's quality among academic journals and it is commonly used as a proxy for journal quality.
Joseph M. Sewell, Oluwakayode O. Adejoro, Joseph R. Fleck, Julian A. Wolfson, Badrinath R. Konety   +4 more
doaj   +1 more source

How many manuscripts should I peer review per year?

Pharmacy Practice, 2020
Peer review provides the foundation for the scholarly publishing system. The conventional peer review system consists of using authors of articles as reviewers for other colleagues’ manuscripts in a collaborative-basis system.
Fernando Fernandez-Llimos , Teresa M. Salgado, Fernanda S. Tonin   +2 more
doaj   +1 more source

Cell‐free and extracellular vesicle microRNAs with clinical utility for solid tumors

Molecular Oncology, EarlyView.
Cell‐free microRNAs (cfmiRs) are small‐RNA circulating molecules detectable in almost all body biofluids. Innovative technologies have improved the application of cfmiRs to oncology, with a focus on clinical needs for different solid tumors, but with emphasis on diagnosis, prognosis, cancer recurrence, as well as treatment monitoring.
Yoshinori Hayashi, Janelle‐Cheri Millen, Romela Irene Ramos, Jennifer A. Linehan, Timothy G. Wilson, Dave S. B. Hoon, Matias A. Bustos   +6 more
wiley   +1 more source

COVID‐19 and the risk of Alzheimer's disease, amyotrophic lateral sclerosis, and multiple sclerosis

Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1953-1961, December 2022., 2022
Abstract Background The coronavirus disease 2019 (COVID‐19) pandemic has had an unprecedented impact on the healthcare system, economy, and society. Studies have reported that COVID‐19 may cause various neurologic symptoms, including cognitive impairment.
Hanyu Zhang, Zengyuan Zhou
wiley   +1 more source