Results 71 to 80 of about 656,028 (273)

The newfound relationship between extrachromosomal DNAs and excised signal circles

open access: yesFEBS Letters, EarlyView.
Extrachromosomal DNAs (ecDNAs) contribute to the progression of many human cancers. In addition, circular DNA by‐products of V(D)J recombination, excised signal circles (ESCs), have roles in cancer progression but have largely been overlooked. In this Review, we explore the roles of ecDNAs and ESCs in cancer development, and highlight why these ...
Dylan Casey, Zeqian Gao, Joan Boyes
wiley   +1 more source

Electric generators and motors: An overview

open access: yesCES Transactions on Electrical Machines and Systems, 2017
Starting with Faraday's law of electromagnetic induction in 1831, electric (electromagnetic) machines have been developed ever since as “assembles” of electric and magnetic coupled circuits that convert mechanical to electrical energy (in generators) and
Ion Boldea
doaj   +1 more source

An upstream open reading frame regulates expression of the mitochondrial protein Slm35 and mitophagy flux

open access: yesFEBS Letters, EarlyView.
This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva   +5 more
wiley   +1 more source

A review of finite control set model predictive control for linear machines

open access: yesIET Electric Power Applications
Linear machines (LMs) have become excellent candidates for linear motion applications due to their abilities of generating thrust without any transmissions, and have been widely adopted in transportation, industries etc.
Wei Xu   +5 more
doaj   +1 more source

Linear microbunching analysis for recirculation machines

open access: yesPhysical Review Accelerators and Beams, 2016
Microbunching instability (MBI) has been one of the most challenging issues in designs of magnetic chicanes for short-wavelength free-electron lasers or linear colliders, as well as those of transport lines for recirculating or energy-recovery-linac ...
C.-Y. Tsai   +3 more
doaj   +1 more source

Linear Motors Utilization for Oth Maglev and Railway Vehicles

open access: yesCommunications, 2001
Traction Systems with Linear Machines have been under investigation for a long time. There were and are several applications with synchronous long stator linear machines, e.g.
A. Binder, Th. Werle
doaj   +1 more source

Random Projections for Linear Support Vector Machines

open access: yes, 2014
Let X be a data matrix of rank \rho, whose rows represent n points in d-dimensional space. The linear support vector machine constructs a hyperplane separator that maximizes the 1-norm soft margin. We develop a new oblivious dimension reduction technique
Boutsidis, Christos   +3 more
core   +1 more source

In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS

open access: yesFEBS Letters, EarlyView.
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka   +11 more
wiley   +1 more source

Structural biology of ferritin nanocages

open access: yesFEBS Letters, EarlyView.
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley   +1 more source

Classifying Network Data with Deep Kernel Machines [PDF]

open access: yes, 2010
Inspired by a growing interest in analyzing network data, we study the problem of node classification on graphs, focusing on approaches based on kernel machines. Conventionally, kernel machines are linear classifiers in the implicit feature space.
Tang, Xiao, Zhu, Mu
core  

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