Results 111 to 120 of about 5,763,429 (310)
Catalog of Isolated Emission Episodes in Gamma-ray Bursts from Fermi, Swift and BATSE
We report a comprehensive catalog of emission episodes within long gamma-ray bursts (GRBs) that are separated by a quiescent period during which gamma-ray emission falls below the background level.
Bartos, Imre +2 more
core +1 more source
Warming summers limit reindeer grazing, weakening herbivory pressure in the mountain tundra
Climate change is predicted to alter species interactions by exposing ecosystems to increasingly frequent and intense warm spells. In the mountain tundra, grazing by large herbivores, particularly reindeer, can limit shrub expansion and preserve Arctic plant diversity.
Marianne Stoessel +2 more
wiley +1 more source
Heterogeneity in Short Gamma-ray Bursts
We analyze the Swift/BAT sample of short gamma-ray bursts, using an objective Bayesian Block procedure to extract temporal descriptors of the bursts' initial pulse complexes (IPCs). The sample comprises 12 and 41 bursts with and without extended emission
Berger +27 more
core +1 more source
Overview of the under‐study hub energy model showing the energy conversion and distribution among integrated sources and loads. ABSTRACT In this paper, a probabilistic bi‐objective energy management system (EMS) model is proposed for an energy hub (EH) equipped with renewable energy sources such as photovoltaic and wind turbine connected to the main ...
Mohammad Khoshabi +3 more
wiley +1 more source
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan +4 more
wiley +1 more source
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
Improving Implied Volatility Forecasts for American Options Using Neural Networks
ABSTRACT This paper explores the application of neural networks to improve pricing of American options. Focusing on both American and European options on the S&P 100 index from January 2016 to August 2023, we integrate neural networks to model the difference between market‐implied and model‐implied volatilities derived from the Black‐Scholes and Heston
Haitong Jiang, Emese Lazar, Miriam Marra
wiley +1 more source
ABSTRACT Objectives Disruptions in social rhythm—referring to irregularities in daily activities such as meals, work, and social interactions—have been associated with increased psychological distress, including depression. While circadian rhythm‐related factors (e.g., sleep quality) have been proposed as key mechanisms underlying this link, emerging ...
Jaeyeon Jang, Sunkyung Yoon
wiley +1 more source
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
In this paper, a novel hybrid firefly-bat algorithm with constraints-prior object-fuzzy sorting strategy (HFBA-COFS) is put forward to solve the strictly-constrained multi-objective optimal power flow (MOOPF) problems.
Gonggui Chen +3 more
doaj +1 more source

