Results 31 to 40 of about 10,784 (286)

In vitro and in silico modelling of ROS1‐positive non‐small cell lung cancer reveals fusion‐dependent tyrosine kinase inhibitor responses

Molecular Oncology, EarlyView.
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq, Marc Terrones, Felicia Rodrigues Fortes, Anne Schepers, Alessia Denis, Christophe Deben, Ken Op de Beeck, Guy Van Camp, Geert Vandeweyer   +8 more
wiley   +1 more source

Regulation of the lncRNA NEAT1 by p53‐ΔNp63 crosstalk modulates the DNA damage response and therapeutic efficacy in HNSCC

Molecular Oncology, EarlyView.
In head and neck squamous cell carcinoma (HNSCC) p53 and p63 exert opposite roles on the transcription regulation of the lncRNA NEAT1. Under basal conditions, p53 levels are low and p63 represses NEAT1 expression. Upon genotoxic stress, p53 is rapidly induced, displacing p63 from the NEAT1 promoter leading to NEAT1 transcriptional activation and ...
Sara De Domenico, Veronica La Banca, Silvia D'Amico, Stefano Scalera, Sara Nicolai, Angelo Peschiaroli   +5 more
wiley   +1 more source

From Food to Power: Hydrogel Thermoelectrics for Ingestible Electronics

Advanced Functional Materials, EarlyView.
We introduce a fully edible thermoelectric–electrochromic platform that harvests heat from food and converts it into a visible color change. N‐type and p‐type hydrogel thermoelectric generators connected in series power anthocyanin‐based electrochromic displays, demonstrating the feasibility of safe, biodegradable, ingestible systems for on‐food ...
Antonia Georgopoulou, Bokeon Kwak, Dario Floreano, Esther Amstad   +3 more
wiley   +1 more source

Characteristic of the power decay length of small ELMs measured by infrared camera on EAST

Nuclear Fusion
Small edge-localized-mode (ELM) regimes are being studied as promising solution to reduce the heat flux to the first-wall within tolerable levels in future machines.
G.T. Chen, Q.Q. Yang, J.H. Yang, X. Lin, H. Yang, Z.D. Yang, R.R. Liang, T.H. Wang, B.H. Zhang, L. Wang, Y.W. Sun, G.S. Xu, F.C. Zhong   +12 more
doaj   +1 more source

Green cover change detection using a modified adaptive ensemble of extreme learning machines for North-Western India

Journal of King Saud University: Computer and Information Sciences, 2021
Climate change is the biggest challenge faced by the world. It has already started affecting the weather patterns leading to disruption of normal life. Detecting change helps to monitor and plan the Earth’s resources in an efficient manner.
Madhu Khurana, Vikas Saxena
doaj   +1 more source

A Holistic Platform Approach for Developing Robust Pulmonary mRNA Delivery: Integrating Novel Phenolic Acid‐Derived Ionizable Lipids and Device Engineering

Advanced Functional Materials, EarlyView.
An integrated pulmonary mRNA delivery platform combining novel biodegradable syringic acid‐derived ionizable lipids, design‐of‐experiments formulation optimization, and vibrating‐mesh nebulizer engineering enabled stable aerosolization and efficient lung delivery.
Neha Kaushal, Younan Ma, Asad Khanmohammed, Dipen Parande, Hanming Zhang, Saket Dolare, Juliet Chen, Apiwat Wangweerawong, Saswata Karmakar, Hongfeng Deng, Frank Koppenhagen, Shraddha Sharma, Eric Reyes, Sherry He, Lianne Boeglin, Caroline Woo, Azadeh Paksa, Ayed Allawzi, Anusha Dias, Gregory Troiano, Shrirang Karve, Frank DeRosa   +21 more
wiley   +1 more source

Monthly and seasonal hydrological drought forecasting using multiple extreme learning machine models

Engineering Applications of Computational Fluid Mechanics, 2022
Hydrological drought forecasting is a key component in water resources modeling as it relates directly to water availability. It is crucial in managing and operating dams, which are constructed in rivers. In this study, multiple extreme learning machines
Guo Chun Wang, Qian Zhang, Shahab S. Band, Majid Dehghani, Kwok wing Chau, Quan Thanh Tho, Senlin Zhu, Saeed Samadianfard, Amir Mosavi   +8 more
doaj   +1 more source

The RNN-ELM classifier

2017 International Joint Conference on Neural Networks (IJCNN), 2017
In this paper we examine learning methods combining the Random Neural Network, a biologically inspired neural network and the Extreme Learning Machine that achieve state of the art classification performance while requiring much shorter training time.
openaire   +4 more sources

Genetically Programmed Shape‐Morphing of Engineered Living Materials

Advanced Functional Materials, EarlyView.
Here, bacterial and mammalian engineered living materials (ELMs) are presented, in which living cells direct genetically programmed and enzymatically mediated shape‐morphing. The resulting deformation and shape‐recovery can be actuated in a genetically controlled manner by an ELM incorporating out‐of‐equilibrium counteracting biochemical reactions with
Jan Becker, Yuchen Liu, Miguel Baños, Rosanne Schmachtenberg, Mahmudul Hasan, Claudia Fink‐Straube, Luai R. Khoury, Wilfried Weber   +7 more
wiley   +1 more source

Utilizing the Metastability of Spidroins as a Strategy for Improving Mechanical Properties of Biomimetic Spider Silk Fibers

Advanced Functional Materials, EarlyView.
Phase transitions are central for the assembly of recombinant silk proteins into fibers. Soluble protein can transition into condensed states such as condensates and gels. These states are metastable and evolve in a time‐dependent way. Metastability depends on the protein sequence, and this relationship can be used to enhance the mechanical properties ...
Fred‐Eric Sammalisto, Topias Lankinen, Celine Tallroth, Rafael A. Lara, Matilda Backholm, Markus B. Linder   +5 more
wiley   +1 more source