Results 151 to 160 of about 94,284 (293)
Restricted Tweedie stochastic block models
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley +1 more source
Dissertatsioonis on käsitletud kolme probleemi splainide teooriast. Esiteks vaadeldakse kuupsplainidega histopoleerimist. Antud on suvaliselt paiknevate sõlmedega ja suvaliste kõrgustega histogramm. Näidatakse, et alati on olemas histopoleeriv kuupsplain üldka-su¬tatavate rajatingimuste korral. Splaini leidmisel kasutatakse erinevaid esitusi.
openaire +1 more source
Bayesian inverse ensemble forecasting for COVID‐19
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley +1 more source
В статті розглядається застосування методу сплайн-апроксимації для дослідження проблемних задач інформаційної безпеки. Для оцінки захищеності інформації необхідно враховувати та дослідити всі можливі технічні канали витоку інформації.
Yurii I. Khlaponin
doaj
Edge Fluid Turbulence Simulations of Stellarators With GRILLIX
ABSTRACT The edge fluid turbulence code GRILLIX has recently been extended from axisymmetric tokamak geometries to support 3D stellarator configurations. Following successful proof‐of‐principle simulations published in Stegmeir et al., we present here a comprehensive simulation of the Wendelstein 7‐AS stellarator.
Andreas Stegmeir +4 more
wiley +1 more source
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
Spatial distribution of acoustic traits in bird assemblages along regional bioclimatic gradients
Environmental variation shapes acoustic interactions among birds, creating spatial structures in the sonic signature of local species assemblages. Exploring these patterns at regional scales can reveal processes that segregate acoustic strategies along environmental gradients.
Michela Busana +11 more
wiley +1 more source
Earthworms, as ‘ecosystem engineers', play a crucial role in regulating ecosystem functions and shaping community structures. Due to climate change, earthworms face severe survival pressures and extinction risks. However, whether conservation efforts targeting aboveground biodiversity can cover the long‐neglected earthworm diversity remains unknown. To
Yajie Zhou +6 more
wiley +1 more source
A first‐of‐its‐kind review benchmarks three solar methane valorization pathways with unified performance metrics for clean fuel production. Meeting global climate targets and sustainable energy demands requires carbon‐neutral fuels and innovative conversion pathways.
Muhammad Abdulmoez +3 more
wiley +1 more source
Abstract Aims Blood levels of N‐terminal pro‐brain natriuretic peptide (NT‐proBNP) may be modified by low renal clearance and anaemia. The aim of this study was to investigate the impact of the blood NT‐proBNP level on cardiovascular and renal outcomes in patients with these two manifestations.
Hiroshi Nishi +4 more
wiley +1 more source

