Results 81 to 90 of about 2,446 (204)
Forecasting heart failure: Seasonal alignment of heart failure outcomes in New York
Abstract Background Seasonal variations have been observed in heart failure (HF) hospitalization. Numerous explanatory mechanisms have been proposed, but no prior studies have examined potential contributors directly. Our objective was to identify specific factors that could contribute to seasonal variability using a large longitudinal dataset of HF ...
Prerna Gupta +5 more
wiley +1 more source
Abstract Background Arterial stiffness is a crucial factor in determining an increase in systolic blood pressure and pulse pressure and can also predict the development of cardiovascular disease (CVD). The purpose of this study was to examine the relationship between arterial stiffness and future CVD.
Susan Darroudi +10 more
wiley +1 more source
Rocking and Rolling of Rigid Polygons Under Seismic Excitation
ABSTRACT We present an event driven analytical framework for rigid cyclic polygons subjected to horizontal ground excitation in which uplift, impact, and successive pivot switching are treated within a unified non‐smooth dynamical description. Rolling is defined as a sequence of energetically admissible transitions between neighbouring vertices tied to
Atif Rasheed +1 more
wiley +1 more source
The inscription of The Persian Caravanserai on the UNESCO World Heritage List in 2023 recognized a network of fifty-four caravanserais as a significant component of Iran's historical transportation and commercial infrastructure (UNESCO World Heritage ...
Mazyar Abaee
doaj +1 more source
Graph Neural Network‐Based Prediction of Building Energy Consumption
A graph neural network that encodes a multi‐zone building as a graph accurately predicts hourly cooling and heating loads across three distinct climates, outperforming Random Forest and XGBoost baselines and serving as a fast surrogate to EnergyPlus simulations for scalable building energy management.
Ali Maboudi Reveshti +4 more
wiley +1 more source
Migrations and Resettlements in the Territory of Medieval Shirvan
Introduction. Studying the diverse ethnic composition of Shirvan in the Middle Ages provides valuable insights into the complex dynamics of ethnicity, culture, and identity in the region.
Lala Aliyeva, Khadija Karim
doaj +1 more source
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem +3 more
wiley +1 more source
Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani +4 more
wiley +1 more source
In the late 18th and early 19th centuries, modern historiography witnessed a significant shift towards the kinship/homogeneity approach, largely driven by orientalists in non- Western regions.
Aras Kahraman
doaj +1 more source
Colonial and gendered peace: Decolonial perspectives on peace in Nagorno‐Karabakh
Abstract This article critically interrogates peace processes in the aftermath of the First Nagorno‐Karabakh War by centering the lived experiences and political voices of Armenian and Azerbaijani internally displaced and refugee women, based on ethnographic fieldwork and in‐depth interviews conducted in 2019.
Ramil Zamanov
wiley +1 more source

