Results 101 to 110 of about 896,372 (322)

Osteocytes under Mechanical Loading Regulate PC‐3 Cancer Cell–Mineral Interactions during Early‐Stage Metastasis to Bone

open access: yesAdvanced Biology, EarlyView.
In this study, Seaman et al. develop a co‐culture assay to examine interactions between prostate cancer cells and mineralized osteoblasts in a microfluidic platform. The authors collect conditioned media from static or flow‐stimulated osteocytes and demonstrate that mechanical loading of osteocytes regulates the growth of prostate cancer cells and ...
Kimberly Seaman   +5 more
wiley   +1 more source

Increased expression of YAP1 in prostate cancer correlates with extraprostatic extension. [PDF]

open access: yes, 2017
Objective:Yes associated protein 1 (YAP1) is a member of the Hippo pathway, acting as a transcriptional coactivator. To elucidate the role of YAP1 and phosphorylated (p)YAP1 in prostate cancer (PCa) tumorigenesis, we investigated their expression in ...
Collak, Filiz Kisaayak   +4 more
core  

Selective Laser Sintering 3D Printing of Drug‐Loaded Intravitreal Implants

open access: yesAdvanced Functional Materials, EarlyView.
Selective laser sintering enables the fabrication of biodegradable and biocompatible intravitreal implants with tunable microstructures for sustained drug delivery. By modulating laser scanning speed, the polymer matrix architecture is engineered to control the release kinetics of dexamethasone and riboflavin over several months. This approach offers a
Iria Seoane‐Viaño   +5 more
wiley   +1 more source

Qualitative and quantitative evaluation of surface water using statistical analysis in Azna River, Lorestan [PDF]

open access: yesمحیط زیست و مهندسی آب, 2016
Water pollution in recent decades is as serious threat to the human and natural ecosystem so that assessing changes water quality are one of the most important topics for desirable use .
Artimes Ghassemi Dehnavi   +4 more
doaj  

Recycling of Thermoplastics with Machine Learning: A Review

open access: yesAdvanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque   +5 more
wiley   +1 more source

History PCA: A New Algorithm for Streaming PCA

open access: yes, 2018
In this paper we propose a new algorithm for streaming principal component analysis. With limited memory, small devices cannot store all the samples in the high-dimensional regime. Streaming principal component analysis aims to find the $k$-dimensional subspace which can explain the most variation of the $d$-dimensional data points that come into ...
Yang, Puyudi   +2 more
openaire   +2 more sources

The Synergy of Artificial Intelligence and 3D Bioprinting: Unlocking New Frontiers in Precision and Tissue Fabrication

open access: yesAdvanced Functional Materials, EarlyView.
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi   +10 more
wiley   +1 more source

Polymer‐Incorporated Mechanically Compliant Carbon Nanotube Microelectrode Arrays for Multichannel Neural Signal Recording

open access: yesAdvanced Functional Materials, EarlyView.
This work presents a soft microelectrode array based on vertically aligned carbon nanotube (CNT) forests, combining high conductivity with mechanical softness. A densification process and air‐pressure‐assisted flexibilization improve structural integrity, ensuring stable insertion and reduced inflammation.
Hyeonhee Roh   +8 more
wiley   +1 more source

The Hierarchical Structure of Sheep Wool and Its Impact on Physical Properties

open access: yesAdvanced Functional Materials, EarlyView.
Sheep wool, a prevalent α‐keratinous fiber, is an essential model for studying protein‐based fibers. Its genetic diversity across breeds enables the establishment of multiscale structure‐property relationships, uncovering previously elusive insights into wool's hierarchical structure.
Serafina R. France Tribe   +9 more
wiley   +1 more source

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