Results 151 to 160 of about 7,650,707 (279)

Research on Predictive Models for Content Popularity on Social Media

Communication, Society and Media
In today's era of widespread social media, predicting content popularity has become a hot topic. Social media is important because it affects the speed and scope of information dissemination. However, predictive models face challenges related to data sparsity, complex feature selection, model interpretability, real-time requirements, and computational ...
openaire   +1 more source

Structural Divergence Between the Moltbook AI‐Agent Network and Human Social Networks

Advanced Science, EarlyView.
Analysis of the Moltbook AI‐agent network reveals a striking combination of familiar global scaling and distinct internal organization. Attention is highly concentrated, reciprocity is limited, connected triads are suppressed, and communities are strongly modular.
Wenpin Hou, Zhicheng Ji
wiley   +1 more source

Rapid‐Forming Conductive Antifouling Hydrogel Coating Enables Magnetically Guided Electrochemical POCT for Direct at‑Home Blood Testing

Advanced Science, EarlyView.
The SPG‐MpECis electrochemical POCT platform developed in this study enables direct detection of biomarkers in complex biological samples such as serum and fingerstick blood, demonstrating high concordance with results from clinical reference methods and holding broad potential for at‐home testing applications.
Menghan Li, Kai Su, Ruiwei Hu, Ke Gao, Yuanjie Liu, Lu Zhang, Ningke Fan, Yirong Chen, Wei Cheng, Shijia Ding, Haiping Wu   +10 more
wiley   +1 more source

Predicting social media post popularity using multimodal deep learning: Insights from content features. [PDF]

PLoS One
Wang Y, Zeng A.
europepmc   +1 more source

Beyond Probiotics: Postbiotics for Healthy Aquaculture

Advanced Science, EarlyView.
This critical review assesses limitations of probiotics and proposes postbiotics, preparations of inanimate microorganisms and their metabolites, as a more stable, controlled, and biosafe formulation. Postbiotics offer significant advantages during industrial aquafeed production and storage. However, their practical implementation is currently hindered
Michael Leonidas Chikindas, Delin Xu, Igor V. Popov, Kayque Ordonho Carneiro, Nilufar Arashovna Elova, Gullola Amirovna Bekmurodova, Dildora Amindjanovna Amirsaidova, Astghik Pepoyan, Shakhlo Mirjamalovna Miralimova, Oleg V. Mitrokhin, Liubov S. Sichel, John Tagg, Svetoslav Dimitrov Todorov   +12 more
wiley   +1 more source

Machine learning empowered proactive content caching in O-RAN. [PDF]

Sci Rep
Ahmad A, Ahmad F, Atif S, Aldalbahi A.
europepmc   +1 more source

Cross‐scale Material‐Structure Synergy for 2D Metamaterials: Toward Customizable Intelligent Electromagnetic Manipulation in Multiphysics Fields

Advanced Science, EarlyView.
Recent advances in metasurface‐enabled low‐observable technologies are reviewed from the perspective of cross‐scale material–structure synergy. Electromagnetic, thermal, optical, and acoustic stealth are highlighted together with dynamic tuning, programmable coding, data‐driven inverse design, artificial intelligence, multispectral compatibility, and ...
Shuhao Wang, Xing Yang, Liping Liu, Yang Peng, Yangyang Wang, Hualiang Lv   +5 more
wiley   +1 more source

A Hybrid Deep Learning Architecture for Content Request Prediction in the Internet of Vehicles. [PDF]

Sensors (Basel)
Rezki A, Guezouli L, Benyahia A, Boubiche DE, Mabane MZ, Chine S, Toral-Cruz H, Martínez-Peláez R, Ramirez-Pacheco JC.   +8 more
europepmc   +1 more source

A General High‐Throughput Mucus Microrheology Platform for Quantitative and Scalable Mucus Phenotyping

Advanced Science, EarlyView.
High‐throughput Differential Dynamic Microscopy measures frequency‐resolved mechanical fingerprints from 3 to 10 μL$\umu{\rm L}$ mucus samples using only a few minutes of operator attention per sample. This automated analysis enables scalable mucus phenotyping for translational research by distinguishing mechanical heterogeneity among donors, disease ...
Feng Ling, Ayşe Tuğçe Şahin, Bernardo Miller Naranjo, Stefano Aime, Doris Roth, Anna Pukaluk, Niels Tepho, Romina Augustin, Benedetta Zampa, Andrea S. Vendrame, Mark‐Christian Klassen, Ellen Emken, Marion Kiechle, Mircea Gabriel Stoleriu, Pontus Mertsch, Ruth Olmer, Yohannes Tesfaigzi, Oliver Lieleg, Janna C. Nawroth   +18 more
wiley   +1 more source

Leakage-aware race-level upset-risk diagnostics for prospective horse-race prediction. [PDF]

Front Artif Intell
Sugiura S.
europepmc   +1 more source