Results 71 to 80 of about 3,081,373 (191)
Macrophage Lipid Homeostasis Drives IVDD via a Senescence‐Dependent Impairment of Efferocytosis
Intervertebral disc degeneration (IVDD) has been a leading cause of low back pain and lacks disease‐modifying therapies. Although dysregulated disc lipid metabolism is implicated, its impact on the immune microenvironment, particularly macrophages, remains unknown.
Jinyu Wang +12 more
wiley +1 more source
Multi-Object Tracking Using Labeled Multi-Bernoulli Random Finite Sets
In this paper, we propose the labeled multi-Bernoulli filter which explicitly estimates target tracks and provides a more accurate approximation of the multi-object Bayes update than the multi-Bernoulli filter.
Ba Tuong Vo (20066427) +3 more
core +1 more source
The vast increase in biodiversity data generated through citizen science initiatives, alongside a growing suite of remote sensing products and advanced modelling tools, has opened new avenues for rapidly, accurately and efficiently monitoring species trends to inform conservation, management and policy.
Ramiro D. Crego +7 more
wiley +1 more source
A Horse Race of Machine‐Learning Methods to Predict Banking Crises
ABSTRACT To examine if one machine‐learning model can consistently elucidate financial vulnerabilities, both over time and across levels of development, this paper applies 13 machine‐learning algorithms to evaluate comparative forecasting performance across several banking crises.
Emile du Plessis
wiley +1 more source
Abstract Sympathetic nervous system activation is a hallmark of high‐altitude hypoxia, yet the afferent mechanisms remain incompletely defined. We examined the relative contributions of pulmonary arterial mechanoreceptors and carotid chemoreceptors – two excitatory pathways co‐activated by hypoxia – to sustained sympathoexcitation at altitude.
Michiel T. Ewalts +13 more
wiley +1 more source
ABSTRACT Sørlige Nordsjø II (SNII) is a planned large‐scale offshore wind farm in the Southern Norwegian North Sea near the Danish border, with phased development targeting a total installed capacity of up to 3 GW. For projects of this scale, site assessments are typically performed using computationally efficient analytical models.
Mostafa Bakhoday Paskyabi, Xu Ning
wiley +1 more source
Multi-object tracking with an adaptive generalized labeled multi-Bernoulli filter
The challenges in multi-object tracking mainly stem from the random variations in the cardinality and states of objects during the tracking process. Further, the information on locations where the objects appear, their detection probabilities, and the ...
TT Dat Nguyen (19334341) +4 more
core
Time-Matching Random Finite Set-Based Filter for Radar Multi-Target Tracking
The random finite set (RFS) approach provides an elegant Bayesian formulation of the multi-target tracking (MTT) problem without the requirement of explicit data association.
Defu Jiang +5 more
doaj +1 more source
Temporal Replication and Sampling Efficiency in High‐Frequency Autonomous and Manual eDNA Sampling
Accounting for temporal correlation in eDNA time series can improve the accuracy of ecological inference about the influence of hydrological covariates on eDNA concentration. Further, we found that MCE filters were more efficient than PES filters. ABSTRACT Environmental DNA (eDNA) sampling is a valuable tool for ecological research, but its reliability
Ben C. Augustine +6 more
wiley +1 more source
Multitarget Tracking Using One Time Step Lagged Delta-Generalized Labeled Multi-Bernoulli Smoothing
Aiming at improving the tracking performance of the delta-generalized labeled multi-Bernoulli (δ-GLMB) filter, we present a one time step lagged δ-GLMB smoother in this work, which also inherently outputs targets trajectories and differs ...
Guolong Liang +3 more
doaj +1 more source

