Results 81 to 90 of about 72,290 (269)

Proposing an Improved Version of the Bat Algorithm [PDF]

open access: yesمجله مدل سازی در مهندسی
The bat algorithm is an example of meta-heuristic algorithms from the collective swarm intelligence, which is based on the echolocation behavior of bats.
Davar Giveki   +2 more
doaj   +1 more source

Short Gamma-Ray Bursts with Extended Emission Observed with Swift/BAT and Fermi/GBM

open access: yes, 2015
Some short GRBs are followed by longer extended emission, lasting anywhere from ~10 to ~100 s. These short GRBs with extended emission (EE) can possess observational characteristics of both short and long GRBs (as represented by GRB 060614), and the ...
Bostanci, Z. F.   +3 more
core   +1 more source

Recent advances in multifunctional soft robots: A materials–structures–systems co‐design perspective for synergistic integration

open access: yesFlexMat, EarlyView.
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu   +3 more
wiley   +1 more source

GRB Energetics in the Swift Era

open access: yes, 2008
We examine the rest frame energetics of 76 gamma-ray bursts (GRBs) with known redshift that were detected by the Swift spacecraft and monitored by the satellite's X-ray Telescope (XRT). Using the bolometric fluence values estimated in Butler et al. 2007b
Aptekar   +9 more
core   +1 more source

Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
wiley   +1 more source

Robust Tests of Forecast Accuracy for Factor‐Augmented Regressions With an Application to the Novel EA‐MD‐QD Dataset

open access: yesJournal of Applied Econometrics, EarlyView.
ABSTRACT We present four novel tests of equal predictive accuracy and encompassing á Pitarakis (2023, 2025) for factor‐augmented regressions. Factors are estimated using cross‐section averages (CAs) of grouped series and our theoretical findings are empirically relevant: asymptotic normality, robustness to an overspecification of the number of factors,
Alessandro Morico, Ovidijus Stauskas
wiley   +1 more source

Harnessing personal and social resources in managing internalising and externalising symptoms in children living in low‐resource settings

open access: yesJCPP Advances, EarlyView.
Abstract Background Children growing up in low‐resource settings are at greater risk for lifelong psychiatric problems. They are both more likely to have risk factors for early psychopathology and to be less likely to seek help and engage support for these problems.
Julia E. Michalek   +4 more
wiley   +1 more source

Beyond Visible Differences: An Experimental Investigation Into the Role of Cognitive Diversity Awareness in Shaping Team Dynamics

open access: yesStrategic Change, EarlyView.
ABSTRACT The relationship between team composition and organizational outcomes is a critical topic in many managerial and business contexts. In this study, we utilize an experimental research method to examine the impact of cognitive diversity on team dynamics.
Jantunen Ari   +5 more
wiley   +1 more source

The Role of Artificial Intelligence in Modern Allergology: A Review of Applications in Diagnosis, Prediction, and Management

open access: yesJEADV Clinical Practice, EarlyView.
ABSTRACT Artificial Intelligence is rapidly transforming allergology by enhancing diagnosis, risk prediction, automation, patient communication, education, and therapy development. Machine learning approaches, including convolutional neural networks, recurrent architectures, and transformer‐based models, enable analysis of complex datasets from ...
Sebastian Seurig   +2 more
wiley   +1 more source

Stratified sampling enhances the understanding of bat–fruit networks in the southern Atlantic Forest

open access: yesOikos, EarlyView.
Few studies have sought to understand the vertical patterns of bat–fruit systems, and therefore, it is not possible to evaluate whether interpretations based on data collected from a single stratum adequately represent the interaction patterns of this system. In this context, we evaluated the dissimilarity in the assemblage of frugivorous bats, plants,
Karolaine Porto Supi   +3 more
wiley   +1 more source

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