Results 71 to 80 of about 2,114,322 (282)

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

FEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang, Ruslana Romaniuk, Hristo L. Svilenov   +2 more
wiley   +1 more source

Disruption [PDF]

, 2020
Disruption and change appear to be the only constant at present. We are on the verge of hearing the results of another crucial American election[1](as my colleague Professor De Ruyter noted –the world is hanging by a thread).
Hearne, David
core   +2 more sources

An interpretable disruption predictor on EAST using improved XGBoost and SHAP

Nuclear Fusion
The development of a disruption predictor using a data-driven solution is an effective way to avoid or mitigate tokamak device disruptions. The black-box nature of the model itself determines the agnostic nature of its decision base and becomes a key ...
D.M. Liu, X.L. Zhu, Y.S. Jiang, S. Wang, S.B. Shu, B. Shen, B.H. Guo, L.C. Liu   +7 more
doaj   +1 more source

The microbiome in human skin aging

FEBS Letters, EarlyView.
Age‐related skin changes encompass the well‐known visible phenotypic alterations, together with microbiome dysbiosis and a series of molecular aging hallmarks. These hallmarks characterize not only a fully stablished aged phenotype but also the skin aging process itself.
Manuel Huerta Arana, Cornelia Wiegand, Omid Omrani, Mario Fabri   +3 more
wiley   +1 more source

Network disruption prediction based on neural networks

, 2017
Network disruptions cause significant financial losses and discomfort of customers. However, communication systems provide various data about equipment condition. This information can be used to predict network disruptions.
null null, Dmitry S. Taimanov
core   +1 more source

From cold start to sustainable operation: a strategy for disruption prediction across the tokamak lifecycle

Nuclear Fusion
Plasma disruption is a significant challenge in tokamak fusion, especially in large-size future devices like ITER, where it causes severe damage. Safeguarding future tokamaks throughout their entire lifecycle demands a disruption prediction strategy that
Xinkun Ai, Zhong Yu, Wei Zheng, Ming Zhang, Yonghua Ding, Zhongyong Chen, Dalong Chen, Bihao Guo, Chengshuo Shen, Nengchao Wang, Yuan Pan, Bingjia Xiao, Biao Shen, J-TEXT team   +13 more
doaj   +1 more source

Time Series Viewmakers for Robust Disruption Prediction

CoRR
Machine Learning guided data augmentation may support the development of technologies in the physical sciences, such as nuclear fusion tokamaks. Here we endeavor to study the problem of detecting disruptions i.e. plasma instabilities that can cause significant damages, impairing the reliability and efficiency required for their real world viability ...
Dhruva Chayapathy, Tavis Siebert, Lucas Spangher, Akshata Kishore Moharir, Om Manoj Patil, Cristina Rea   +5 more
openaire   +3 more sources

Uniaxial stretch-induced axonal injury thresholds for axonal dysfunction and disruption and strain rate effects on thresholds for mouse neuronal stem cells

Journal of Biomechanical Science and Engineering, 2017
In this paper, the proposed study aims to achieve a better understanding of neuronal tolerance and contribute to the prediction of the secondary degeneration of diffuse axonal injury (DAI). Therefore, a uniaxial stretching device which subjected cultured
Evrim KURTOGLU, Hiromichi NAKADATE, Kazuhiro KIKUTA, Shigeru AOMURA, Akira KAKUTA   +4 more
doaj   +1 more source

Autophagy and mitophagy in pancreatic β‐cell homeostasis and their involvement in diabetes pathophysiology

FEBS Letters, EarlyView.
This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee, Mingming Tong, Anna L. Gloyn   +2 more
wiley   +1 more source

Improving Tokamaks' diagnostic capability for better disruption prediction in metallic machines with a view on future devices

, 2021
Improving Tokamaks' diagnostic capability for better disruption prediction in metallic machines with a view on future ...
Murari A
core