Results 61 to 70 of about 846,444 (289)

Persistence of a Continuous Stochastic Process with Discrete-Time Sampling: Non-Markov Processes [PDF]

, 2001
We consider the problem of `discrete-time persistence', which deals with the zero-crossings of a continuous stochastic process, X(T), measured at discrete times, T = n(\Delta T). For a Gaussian Stationary Process the persistence (no crossing) probability
A. Dhar, A.D. Rutenberg, A.J. Bray, A.J. Bray, Alan J. Bray, B. Derrida, B. Derrida, B. Derrida, B. Derrida, B. Yurke, B.P. Lee, C. Monthus, C. Sire, D.S. Fisher, D.S. Fisher, E. Ben-Naim, G. De Smedt, G.C.M.A. Ehrhardt, G.P. Wong, George C. M. A. Ehrhardt, H. Kallabis, I.F. Blake, J. Cardy, J. Krug, K. Oerding, M. Howard, M. Kac, M. Marcos-Martin, M.R. Swift, P. Le Doussal, P.L. Krapivsky, P.L. Krapivsky, R. Zeitak, S. Cueille, S. Cueille, S.J. Cornell, S.J. O’Donoghue, S.N. Majumdar, S.N. Majumdar, S.N. Majumdar, S.N. Majumdar, S.N. Majumdar, S.N. Majumdar, S.N. Majumdar, Satya N. Majumdar, T.W. Burkhardt, W.Y. Tam, Y.G. Sinai, Z. Toroczkai   +48 more
core   +1 more source

Deciphering transcriptional plasticity in pancreatic ductal adenocarcinoma reveals alterations in sensory neuron innervation

Molecular Oncology, EarlyView.
Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova, Michele Montrone, Uday Rangaswamy, Francesco Diversi, Irene Schiavo, Denise Ferrarini, Roberta Di Florio, Irene Longo, Michele Coscia, Nicola Zamboni, Giorgia Demontis, Lisa Veghini, Vincenzo Corbo, Remo Sanges, Paul Heppenstall   +14 more
wiley   +1 more source

Persistence of a Continuous Stochastic Process with Discrete-Time Sampling

, 2001
We introduce the concept of `discrete-time persistence', which deals with zero-crossings of a continuous stochastic process, X(T), measured at discrete times, T = n \Delta T.
Bray, Alan J., Ehrhardt, George C. M. A., Majumdar, Satya N.   +2 more
core   +1 more source

Stability Boundary and Design Criteria for Haptic Rendering of Virtual Walls [PDF]

, 2006
This paper is about haptic simulations of virtual walls, which are represented by a discrete PD-control. A normalized discrete-time transfer function is used to derive the fundamental stability boundaries for this problem.
Hirzinger, Gerd, Hulin, Thomas, Preusche, Carsten   +2 more
core   +1 more source

Microglial dynamics and ferroptosis induction in human iPSC‐derived neuron–astrocyte–microglia tri‐cultures

FEBS Open Bio, EarlyView.
A tri‐culture of iPSC‐derived neurons, astrocytes, and microglia treated with ferroptosis inducers as an Induced ferroptosis model was characterized by scRNA‐seq, cell survival, and cytokine release assays. This analysis revealed diverse microglial transcriptomic changes, indicating that the system captures key aspects of the complex cellular ...
Hongmei Lisa Li, Hiroko Ohmiya, Sou Sakamoto, Masato Yugami, Akiko Oki, Makoto Furusawa, Yan Ling   +6 more
wiley   +1 more source

On the analytic form of the discrete Kramer sampling theorem

International Journal of Mathematics and Mathematical Sciences, 2001
The classical Kramer sampling theorem is, in the subject of self-adjoint boundary value problems, one of the richest sources to obtain sampling expansions. It has become very fruitful in connection with discrete Sturm-Liouville problems.
Antonio G. García, Miguel A. Hernández-Medina, María J. Muñoz-Bouzo   +2 more
doaj   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

Discrete Wavelet Transform Sampling for Image Super Resolution

Applied Artificial Intelligence
In battlefield environments, drones depend on high-resolution imagery for critical tasks such as target identification and situational awareness. However, acquiring clear images of distant targets presents a significant challenge.
Chieh-Li Chen, Heng-Lin Yao, Bo-Lin Jian
doaj   +1 more source

Discrete- vs. Continuous-Time Modeling of Unequally Spaced Experience Sampling Method Data

Frontiers in Psychology, 2017
The Experience Sampling Method is a common approach in psychological research for collecting intensive longitudinal data with high ecological validity. One characteristic of ESM data is that it is often unequally spaced, because the measurement intervals
Silvia de Haan-Rietdijk, Manuel C. Voelkle, Manuel C. Voelkle, Loes Keijsers, Ellen L. Hamaker, Ellen L. Hamaker   +5 more
doaj   +1 more source

Approximate Inference in Continuous Determinantal Point Processes [PDF]

, 2013
Determinantal point processes (DPPs) are random point processes well-suited for modeling repulsion. In machine learning, the focus of DPP-based models has been on diverse subset selection from a discrete and finite base set.
Affandi, Raja Hafiz, Fox, Emily B., Taskar, Ben   +2 more
core