Results 41 to 50 of about 8,708,943 (308)
Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
FEBS Letters, EarlyView.EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source
Topological impact of constrained fracture growth
Frontiers in Physics, 2015 The topology of two discrete fracture network models is compared to investigate the impact of constrained fracture growth. In the Poissonian discrete fracture network model the fractures are assigned length, position and orientation independent of all ...
Sigmund Mongstad Hope +6 more
doaj +1 more source
FEBS Letters, EarlyView.Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell +2 more
wiley +1 more source
A NEW APPROACH TO THE ANALYSIS OF VISITOR PERCEPTIONS TOWARDS A TOURISM DESTINATION: THE ROLE OF FOOD AND WINE EXPERIENCES [PDF]
Scientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development, 2013 The study aims to propose a new approach to analyse visitor perceptions and experiences in a tourism destination. The purpose is to discuss how the discrete choice models can contribute to the analysis of the tourism destination in the visitor experience
Roberta CAPITELLO +2 more
doaj
Semi-Supervised Learning for Discrete Choice Models [PDF]
IEEE Transactions on Intelligent Transportation Systems, 2019 We introduce a semi-supervised discrete choice model to calibrate discrete choice models when relatively few requests have both choice sets and stated preferences but the majority only have the choice sets. Two classic semi-supervised learning algorithms, the expectation maximization algorithm and the cluster-and-label algorithm, have been adapted to ...
Jie Yang 0045 +2 more
openaire +3 more sources
FEBS Letters, EarlyView.How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley +1 more source
BMC Medical Research Methodology, 2008 Background Additional insights into patient preferences can be gained by supplementing discrete choice experiments with best-worst choice tasks. However, there are no empirical studies illustrating the relative advantages of the various methods of ...
Peters Tim J +3 more
doaj +1 more source
Discrete Choice Modeling [PDF]
, 2009 We detail the basic theory for models of discrete choice. This encompasses methods of estimation and analysis of models with discrete dependent variables. Entry level theory is presented for the practitioner. We then describe a few of the recent, frontier developments in theory and practice.
openaire +2 more sources
Dynamic Discrete Choice Structural Models: A Survey [PDF]
SSRN Electronic Journal, 2007 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Victor Aguirregabiria, Pedro mira
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Artificial molecular machines and motors—Design and control of nanoscale motion
FEBS Letters, EarlyView.Molecules are constantly moving because of thermal fluctuations, but random motion alone cannot be exploited to perform directional tasks. Artificial molecular machines use chemical, electrical, or light energy to bias this motion. Molecular shuttles, rotary motors, and supramolecular pumps illustrate how nanoscale movement can be controlled and ...
Leonardo Andreoni, Alberto Credi
wiley +1 more source