Results 41 to 50 of about 3,393,857 (266)

Information dynamics algorithm for detecting communities in networks

, 2011
The problem of community detection is relevant in many scientific disciplines, from social science to statistical physics. Given the impact of community detection in many areas, such as psychology and social sciences, we have addressed the issue of ...
Albert, Andrea Guazzini, Blatt, de Freitas, Dongen, Dorogovtesev, Emanuele Massaro, Forster, Fortunato, Franco Bagnoli, Gigerenzer, Gigerenzer, Lancichinetti, Lusseau, Murray, Newman, Newman, Nicosia, Palla, Pietro Lió, Scott, Simon, Tulving, Wasserman, Zachary   +24 more
core   +1 more source

Network polarization, filter bubbles, and echo chambers: An annotated review of measures and reduction methods

, 2023
Polarization arises when the underlying network connecting the members of a community or society becomes characterized by highly connected groups with weak inter-group connectivity. The increasing polarization, the strengthening of echo chambers, and the
Interian, Ruben, Marzo, Ruslan G., Mendoza, Isela, Ribeiro, Celso C.   +3 more
core   +1 more source

miRNA‐29 regulates epidermal and mesenchymal functions in skin repair

FEBS Letters, EarlyView.
miRNA‐29 inhibits cell‐to‐cell and cell‐to‐matrix adhesion by silencing mRNA targets. Adhesion is controlled by complex interactions between many types of molecules coded by mRNAs. This is crucial for keeping together the layers of the skin and for regenerating the skin after wounding.
Lalitha Thiagarajan, Rosa Sanchez‐Alvarez, Chiho Kambara, Poojitha Rajasekar, Yuluang Wang, François Halloy, Jonathan Hall, Hans‐Jürgen Stark, Iris Martin, Petra Boukamp, Svitlana Kurinna   +10 more
wiley   +1 more source

Interests Diffusion in Social Networks

, 2015
Understanding cultural phenomena on Social Networks (SNs) and exploiting the implicit knowledge about their members is attracting the interest of different research communities both from the academic and the business side.
D'Agostino, Gregorio, D'Antonio, Fulvio, De Nicola, Antonio, Tucci, Salvatore   +3 more
core   +1 more source

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

Emerging Drug Interaction Prediction Enabled by Flow-based Graph Neural Network with Biomedical Network [PDF]

arXiv, 2023
Accurately predicting drug-drug interactions (DDI) for emerging drugs, which offer possibilities for treating and alleviating diseases, with computational methods can improve patient care and contribute to efficient drug development. However, many existing computational methods require large amounts of known DDI information, which is scarce for ...
arxiv  

Interoperability, Trust Based Information Sharing Protocol and Security: Digital Government Key Issues [PDF]

International Journal of Computer Science and Information Technology 2.3 (2010) 72-91, 2010
Improved interoperability between public and private organizations is of key significance to make digital government newest triumphant. Digital Government interoperability, information sharing protocol and security are measured the key issue for achieving a refined stage of digital government.
arxiv   +1 more source

Surfaceome: a new era in the discovery of immune evasion mechanisms of circulating tumor cells

Molecular Oncology, EarlyView.
In the era of immunotherapies, many patients either do not respond or eventually develop resistance. We propose to pave the way for proteomic analysis of surface‐expressed proteins called surfaceome, of circulating tumor cells. This approach seeks to identify immune evasion mechanisms and discover potential therapeutic targets. Circulating tumor cells (
Doryan Masmoudi, Jérome Vialaret, Christophe Hirtz, Catherine Alix‐Panabières   +3 more
wiley   +1 more source

A Detailed Dominant Data Mining Approach for Predictive Modeling of Social Networking Data using WEKA [PDF]

, 2017
Social network has gained popularity manifold in the last decade. Accessing social network sites such as Twitter, Facebook LinkedIn and Google+ through the internet and the web 2.0 technologies has become more affordable.
, Ravi Arora, Kuldeep Kumar Somvanshi
core   +5 more sources

MatSciRE: Leveraging Pointer Networks to Automate Entity and Relation Extraction for Material Science Knowledge-base Construction [PDF]

Computational Material Science 2023 (Elsevier)
Material science literature is a rich source of factual information about various categories of entities (like materials and compositions) and various relations between these entities, such as conductivity, voltage, etc. Automatically extracting this information to generate a material science knowledge base is a challenging task.
arxiv   +1 more source