Results 151 to 160 of about 503,694 (292)

3D In Vitro Models of Breast Cancer: Current Challenges and Future Prospects Toward Recapitulating the Microenvironment and Mimicking Key Processes

Advanced Biology, EarlyView.
In vitro cancer models are advantageous for studying important processes such as tumorigenesis, cancer growth, invasion, and metastasis. The complexity and biological relevance increase depending on the model structure, organization, and composition of materials and cells.
Kyndra S. Higgins, Ah Joung Yu, Cheryl T. Gomillion   +2 more
wiley   +1 more source

Exact Decoding Probability of Sparse Random Linear Network Coding for Reliable Multicast

, 2021
Wenlin Chen, Fang Lu, Yan Dong
openalex   +2 more sources

Detecting Dengue in Flight: Leveraging Machine Learning to Analyze Mosquito Flight Patterns for Infection Detection

Advanced Biology, EarlyView.
Dengue infection alters mosquito flight behavior, enabling detection using machine learning classifiers. This study analyzes 3D flight trajectories and evaluates multiple models, showing that longer sequence lengths improve classification performance.
Nouman Javed, Adam J. López‐Denman, Prasad N. Paradkar, Asim Bhatti   +3 more
wiley   +1 more source

Strict Linear Dispersion Network Code

Journal of Software, 2012
Jing-Jing Si, An-ni Cai, Bo-jin Zhuang
openaire   +2 more sources

Infrared Neural Stimulation Elicits Distinct Molecular Pathways in Astrocytes Based on Laser Pulse Parameters

Advanced Biology, EarlyView.
Infrared (IR) light evokes distinct calcium and water transport responses in astrocytes, depending on stimulation duration and protocol. This study uses widefield imaging and pharmacology to reveal differential engagement of astroglial signaling pathways.
Wilson R. Adams, Ana I Borrachero‐Conejo, Pratheepa Kumari Rasiah, Emanuela Saracino, Roberto Zamboni, Eric Duco Jansen, Valentina Benfenati, Anita Mahadevan‐Jansen   +7 more
wiley   +1 more source

On Dissemination Time of Random Linear Network Coding in Ad-hoc Networks

, 2013
Shwan Ashrafi, Sumit Roy, Hamed Firooz
openalex   +2 more sources

On Intercept Probability Minimization Under Sparse Random Linear Network Coding [PDF]

, 2019
Andrea Tassi, Robert J. Piechocki, Andrew Nix   +2 more
openalex   +1 more source

Decoding of Interleaved Linearized Reed-Solomon Codes with Applications to Network Coding

, 2021
Hannes Bartz, Sven Puchinger
openalex   +2 more sources

Generation and Extension of Linear Network Coding

Journal of Software, 2011
Wei-Ping Wang, Bao-Xing Pu, Lu-Ming Yang
openaire   +2 more sources

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source