Results 201 to 210 of about 940,524 (345)

Molecular dynamics simulations of positively selected codons in FcγRI reveal novel biochemical binding properties

FEBS Open Bio, EarlyView.
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young, Omar Arias‐Gaguancela, Fiona Gibson, Morgan Grainger, Jodie Score, Amit Nathubhai, Mauricio Cafiero, Lee Richard Machado   +7 more
wiley   +1 more source

A hybrid intelligent optimization algorithm combining weighted K-means clustering and improved ABC for optimal deployment of prehospital emergency heliports. [PDF]

Sci Rep
Hu X, Li D, Zhang T, Xing L, Liu Y, Gao P.   +5 more
europepmc   +1 more source

Optimizing photoactivation of PA‐mCherry for optical pooled CRISPR screens

FEBS Open Bio, EarlyView.
Photoactivatable PA‐mCherry finds widespread use to optically tag individual cells. However, confocal 405 nm UV laser‐scanning (normal scan) is much less efficient than widefield UV illumination, limiting the use of PA‐mCherry on confocal instruments. We remedy this limitation by reporting that rapid and repeated confocal scanning with a low‐intensity,
Sravasti Mukherjee, Giulia Zanetti, Bram van den Broek, Kees Jalink   +3 more
wiley   +1 more source

A K-means-like algorithm for informetric data clustering

, 2015
The K-means algorithm is one of the most often used clustering techniques. However, when it comes to discovering clusters in informetric data sets that consist of non-increasingly ordered vectors of not necessarily conforming lengths, such a method ...
Anna Cena (13497691), Marek Gagolewski (13083165)   +1 more
core  

Construction of automatic air monitoring point siting model based on convolutional neural network and K-means clustering. [PDF]

Sci Rep
Liu S, Peng J, He X.
europepmc   +1 more source

Pharmacological inhibition of the PERK pathway modulates hepatocellular carcinoma growth and immune signaling

FEBS Open Bio, EarlyView.
Pharmacological inhibition of PERK in a DEN‐induced mouse model of liver cancer does not reduce tumor burden but alters cellular stress signaling. Despite blocking PERK activity, downstream stress responses, including CHOP expression, remain active, suggesting compensatory mechanisms within the unfolded protein response that may influence tumor ...
Ada Lerma‐Clavero, Maria Kopsida, Nathalie Arendt, Hans Lennernäs, Markus Sjöblom, Femke Heindryckx   +5 more
wiley   +1 more source

Cluster analysis for personalised mobile entertainment content

, 2010
There is much attention given to emerging technologies like mobile internet because of its increasing popularity. Much research has concentrated on hardware and some have focused on personalisation in terms of content visualisation.
Wong, K.W., Fung, C.C., Paireekreng, W.
core  

Monitoring the condition of city bus engines by analysing used oil using PCA and K-Means clustering. [PDF]

Sci Rep
Duarte MO, Margalho LM, Gołębiowski W, Mendes M, Farinha JMT, Šarkan B.   +5 more
europepmc   +1 more source

Early‐life high‐fat diet exposure increases Achilles tendon stiffness and induces transcriptomic alterations

FEBS Open Bio, EarlyView.
Early‐life exposure to a high‐fat diet altered intact Achilles tendons in rat offspring, making them thinner, stiffer, and molecularly distinct even without injury. These findings suggest that developmental high‐fat diet exposure may impair tendon quality and increase susceptibility to mechanical overload or tendon injury later in life.
Heyong Yin, Ziyang Yuan, Wenli Jiang, Ai Guo   +3 more
wiley   +1 more source

K-Means Algorithm Based on Particle Swarm Optimization

, 2014
Clustering analysis aims at discovering groups and identifying interesting distributions and patterns in data sets. It can help the user to distinguish the structure of data and simplify the complexity of data from mass information.
Chen, Ching-Yi; Ye, Fun
core