Results 81 to 90 of about 3,493,044 (354)

An effective scanning method of the NMSSM parameter space [PDF]

open access: yesPhys. Rev. D 100, 055007 (2019), 2019
The next-to-minimal supersymmetric standard model (NMSSM) naturally provides a 125 GeV Higgs boson without the need for large loop corrections from multi-TeV stop quarks. Furthermore, the NMSSM provides an electroweak scale dark matter candidate consistent with all experimental data, like relic density and non-observation of direct dark matter signals ...
arxiv   +1 more source

Parameter space for thermal spin-transfer torque

open access: yes, 2013
Thermal spin-transfer torque describes the manipulation of the magnetization by the application of a heat flow. The effect has been calculated theoretically by Jia et al. in 2011. It is found to require large temperature gradients in the order of Kelvins
Czerner, Michael   +12 more
core   +1 more source

Impact Parameter Space Interpretation for Generalized Parton Distributions [PDF]

open access: yes, 2002
The Fourier transform of generalized parton distribution functions at xi=0 describes the distribution of partons in the transverse plane. The physical significance of these impact parameter dependent parton distribution functions is discussed.
Burkardt M.   +2 more
core   +2 more sources

Active learning BSM parameter spaces

open access: yesThe European Physical Journal C, 2023
AbstractActive learning (AL) has interesting features for parameter scans of new models. We show on a variety of models that AL scans bring large efficiency gains to the traditionally tedious work of finding boundaries for BSM models. In the MSSM, this approach produces more accurate bounds.
Goodsell, Mark, Joury, Ari
openaire   +3 more sources

The power of microRNA regulation—insights into immunity and metabolism

open access: yesFEBS Letters, EarlyView.
MicroRNAs are emerging as crucial regulators at the intersection of metabolism and immunity. This review examines how miRNAs coordinate glucose and lipid metabolism while simultaneously modulating T‐cell development and immune responses. Moreover, it highlights how cutting‐edge artificial intelligence applications can identify miRNA biomarkers ...
Stefania Oliveto   +2 more
wiley   +1 more source

Cytoplasmic delivery of antibodies through grafting a functional single complementarity‐determining region loop

open access: yesFEBS Letters, EarlyView.
We achieved cytoplasmic delivery of non‐cell‐penetrating IgGs by grafting a single functional complementarity‐determining region 1 (CDR1) from the light chain variable region (VL) of the cell‐internalizable 3D8 antibody. The engineered IgG acquired cell‐penetrating ability while maintaining antigen affinity, highlighting CDR1 grafting as a promising ...
Yerin Jeon   +5 more
wiley   +1 more source

Spherical contours, IR divergences and the geometry of Feynman parameter integrands at one loop

open access: yesJournal of High Energy Physics, 2020
Spherical contours introduced in [1] translate the concept of “discontinuity across a branch cut” to Feynman parameter space. In this paper, we further explore spherical contours and connect them to the computation of leading IR divergences of 1 loop ...
Akshay Yelleshpur Srikant
doaj   +1 more source

Adaptive Control of Mini Space Robot Based on Linear Separation of Inertial Parameters

open access: yesAerospace, 2023
Space robots exhibit a strong dynamic coupling between the manipulator and the base spacecraft, with this phenomenon being particularly pronounced in mini space robots.
Yuchen Liu, Lai Teng, Zhonghe Jin
doaj   +1 more source

Empirical likelihood on the full parameter space

open access: yes, 2013
We extend the empirical likelihood of Owen [Ann. Statist. 18 (1990) 90-120] by partitioning its domain into the collection of its contours and mapping the contours through a continuous sequence of similarity transformations onto the full parameter space.
Tsao, Min, Wu, Fan
core   +1 more source

Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon

open access: yesMolecular Oncology, EarlyView.
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran   +16 more
wiley   +1 more source

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