Results 141 to 150 of about 6,127,722 (370)
Advanced Biology, EarlyView.The axolotl's remarkable regenerative abilities decline with age, the causes may include the numerous repetitive elements within its genome. This study uncovers how Ty3 retrotransposons and coexpression networks involving muscle and immune pathways respond to aging and regeneration, suggesting that transposons respond to physiological shifts and may ...
Samuel Ruiz‐Pérez +8 more
wiley +1 more source
Advanced Biology, EarlyView.Using supramolecular monomers, various hydrogel culture systems were formulated to culture protoplasts; including 2D, 2.5D, and 3D hydrogels. Depending on the culture platform, bioactive functionalization led to protoplast enlargement (2D and 2.5D) or plasmolysis (3D). This work shows the potential to modularly engineer synthetic platforms for cellular
Maritza M. Rovers +3 more
wiley +1 more source
Fast temporal neural learning using teacher forcing [PDF]
A neural network is trained to output a time dependent target vector defined over a predetermined time interval in response to a time dependent input vector defined over the same time interval by applying corresponding elements of the error vector, or ...
Bahren, Jacob, Toomarian, Nikzad
core +1 more source
Deep learning networks find unique mammographic differences in previous negative mammograms between interval and screen-detected cancers: a case-case study. [PDF]
, 2019 BackgroundTo determine if mammographic features from deep learning networks can be applied in breast cancer to identify groups at interval invasive cancer risk due to masking beyond using traditional breast density measures.MethodsFull-field digital ...
Fan, Bo +9 more
core +1 more source
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 +4 more
wiley +1 more source
مجله دانشگاه علوم پزشکی گرگان, 2021 Background and Objective: People with asthma are at increased risk for cardiovascular disease and increased risk of death. Asthma is associated with the structure and function of vessel changes.
Masoumeh Nobahar +2 more
doaj
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source
Oxygen uptake during high-intensity running: response following a single bout of interval training [PDF]
, 1999 David James, Jonathan H. Doust
openalex +1 more source
3D‐Printed Architected Material for the Generation of Foam‐Based Protective Equipment
Advanced Engineering Materials, EarlyView.This study investigates 3D‐printed architected structures as alternatives to traditional foams in protective gear. It focuses on customizing impact strength and damping through design and manufacturing integration. Testing shows these structures outperform conventional foams, offering enhanced customizability, lower weight, and tunable performance ...
Ali Zolfagharian +5 more
wiley +1 more source
Achieving non-discrimination in prediction
, 2018 Discrimination-aware classification is receiving an increasing attention in data science fields. The pre-process methods for constructing a discrimination-free classifier first remove discrimination from the training data, and then learn the classifier ...
Wu, Xintao, Wu, Yongkai, Zhang, Lu
core +1 more source