Results 61 to 70 of about 2,503,125 (316)

Aβ42 promotes the aggregation of α‐synuclein splice isoforms via heterogeneous nucleation

FEBS Letters, EarlyView.
The aggregation of amyloid‐β (Aβ) and α‐synuclein (αSyn) is associated with Alzheimer's and Parkinson's diseases. This study reveals that Aβ aggregates serve as potent nucleation sites for the aggregation of αSyn and its splice isoforms, shedding light on the intricate interplay between these two pathogenic proteins.
Alexander Röntgen, Zenon Toprakcioglu, Michele Vendruscolo   +2 more
wiley   +1 more source

Mathematical Neural Networks [PDF]

Axioms, 2022
ANNs succeed in several tasks for real scenarios due to their high learning abilities. This paper focuses on theoretical aspects of ANNs to enhance the capacity of implementing those modifications that make ANNs absorb the defining features of each scenario.
openaire   +3 more sources

ShcD adaptor protein drives invasion of triple negative breast cancer cells by aberrant activation of EGFR signaling

Molecular Oncology, EarlyView.
We identified adaptor protein ShcD as upregulated in triple‐negative breast cancer and found its expression to be correlated with reduced patient survival and increased invasion in cell models. Using a proteomic screen, we identified novel ShcD binding partners involved in EGFR signaling pathways.
Hayley R. Lau, Hayley S. Smith, Begüm Alural, Claire E. Martin, Laura A. New, Manali Tilak, Sara L. Banerjee, Hannah N. Robeson, Nicolas Bisson, Anne‐Claude Gingras, Jasmin Lalonde, Nina Jones   +11 more
wiley   +1 more source

Using Burstiness for Network Applications Classification

Journal of Computer Networks and Communications, 2019
Network traffic classification is a vital task for service operators, network engineers, and security specialists to manage network traffic, design networks, and detect threats.
Hussein Oudah, Bogdan Ghita, Taimur Bakhshi, Abdulrahman Alruban, David J. Walker   +4 more
doaj   +1 more source

Two phase learning technique in modular neural network for pattern classification of handwritten Hindi alphabets

Machine Learning with Applications, 2021
Modular neural network overcomes the problem of monolithic structures of artificial neural networks. Generally modular neural network is an integration of smaller sub complete neural network models.
Manu Pratap Singh, Gunjan Singh
doaj   +1 more source

Decoding Small Surface Codes with Feedforward Neural Networks

, 2017
Surface codes reach high error thresholds when decoded with known algorithms, but the decoding time will likely exceed the available time budget, especially for near-term implementations. To decrease the decoding time, we reduce the decoding problem to a
Bertels, Koen, Criger, Ben, Varsamopoulos, Savvas   +2 more
core   +1 more source

Targeting the AKT/mTOR pathway attenuates the metastatic potential of colorectal carcinoma circulating tumor cells in a murine xenotransplantation model

Molecular Oncology, EarlyView.
Dual targeting of AKT and mTOR using MK2206 and RAD001 reduces tumor burden in an intracardiac colon cancer circulating tumor cell xenotransplantation model. Analysis of AKT isoform‐specific knockdowns in CTC‐MCC‐41 reveals differentially regulated proteins and phospho‐proteins by liquid chromatography coupled mass spectrometry. Circulating tumor cells
Daniel J. Smit, Thais Pereira‐Veiga, Helena Brauer, Michael Horn, Paula Nissen, Thomas Mair, Bente Siebels, Hannah Voß, Ruimeng Zhuang, Marie‐Therese Haider, Desiree Loreth, Margarita Iskhakova, Bele Lindemann, Julian Kött, Laure Cayrefourcq, Jasmin Wellbrock, Hartmut Schlüter, Klaus Pantel, Catherine Alix‐Panabières, Manfred Jücker   +19 more
wiley   +1 more source

A data mining approach using cortical thickness for diagnosis and characterization of essential tremor

Scientific Reports, 2017
Essential tremor (ET) is one of the most prevalent movement disorders. Being that it is a common disorder, its diagnosis is considered routine. However, misdiagnoses may occur regularly.
J. Ignacio Serrano, Juan P. Romero, Ma Dolores del Castillo, Eduardo Rocon, Elan D. Louis, Julián Benito-León   +5 more
doaj   +1 more source

Data‐driven discovery of gene expression markers distinguishing pediatric acute lymphoblastic leukemia subtypes

Molecular Oncology, EarlyView.
This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh, Nikola Tom, Anna Schrøder Lassen, Helene Brasch Lind Petersen, Ulrik Kristoffer Stoltze, Karin Wadt, Kjeld Schmiegelow, Matteo Tiberti, Elena Papaleo   +8 more
wiley   +1 more source

Prediction of battery charging process based on aggregation neural network

The Journal of Engineering, 2022
An online sequence extreme learning machine neural network prediction model based on sample aggregation method (AOSELM) is proposed, which is used to solve the prediction of the charging process of lead‐acid batteries.
Shuo Sun, Jun‐zhong Sun, Zhan‐lu Yang, Zhi‐yong Zhou, Yi‐yang Ding   +4 more
doaj   +1 more source