Results 251 to 260 of about 318,952 (348)

The Role of Digital Twin Technology in Enhancing Energy Efficiency in Buildings: A Systematic Literature Review

Energy Science &Engineering, EarlyView.
Digital Twin (DT) technology enhances building energy efficiency by enabling continuous monitoring, predictive maintenance, and operational optimization within Building Energy Management Systems. Through real‐time data integration and simulation, DTs provide dynamic feedback loops that optimize performance, reduce operational costs, and improve ...
Suqi Wang, Congxiang Tian, Chao Zhou, Yihan Wu, Divine Senanu Ametefe, Dah John, Marvellous Agbeko Ametefe   +6 more
wiley   +1 more source

Dosage of natriuretic atrial factor in pediatric patients submitted to artificial pulmonary ventilation with end positive pressure respiration

, 1998
Karina Nascimento [UNIFESP] Costa
openalex   +1 more source

Simulations of Photovoltaic Systems on Different Types of Ships in Sweden: Solar Energy Generation, Comparison to Energy Consumption, and Reduction of CO2 Emission

Energy Science &Engineering, EarlyView.
Investigation of the potential of using solar cells on different types of ships, to see how it reduces energy consumption and emissions of carbon dioxide (CO2). From the reduction in fuel consumption, the fuel cost reduction was estimated, and an approximate payback time for the solar cell system was calculated.
Joachim Wallenstein, Joanne Ellis, Erik M. J. Johansson   +2 more
wiley   +1 more source

Comparison of two fractions of inspired oxygen thresholds (0.25 vs 0.30) for surfactant administration in very preterm infants with respiratory distress syndrome under nasal intermittent positive pressure ventilation: study protocol for a multicentre randomised controlled, superiority trial. [PDF]

BMJ Paediatr Open
Yang R, Fang Z, Liu KZ, Zhu X, Ding XP, Luo Q, Zhou WJ, Hu XW, Zhou JL, Tang WY, Shi Y.   +10 more
europepmc   +1 more source

Predicting Parameters Affecting Building Energy Consumption Using Machine Learning Models

Energy Science &Engineering, EarlyView.
This framework integrates long‐term weather forecasting with building energy simulation to predict energy demand. The CNN–LSTM model achieved the highest accuracy (R2 ≈ 0.95), supporting smart HVAC control with ~ 15% energy savings. ABSTRACT The rapid growth of population and the construction industry have led to an increase in energy demand and an ...
Bassam Musheer Kareem, Abdolsalam Ebrahimpour, Jafar Ghafouri, Roghayyeh Motallebzadeh   +3 more
wiley   +1 more source

Noninvasive Positive Pressure Ventilation Use and In-Hospital Cardiac Arrest in Bronchiolitis. [PDF]

Crit Care Explor
Shepard LN, Mehta S, Graham K, Kienzle M, O'Halloran A, Yehya N, Morgan RW, Keim GP.   +7 more
europepmc   +1 more source

Integrating Remote Sensing and Machine Learning for Enhanced Surface Urban Heat Island Analysis and Its Impact on Building Energy Demand

Energy Science &Engineering, EarlyView.
Satellite (MODIS) mapping links Urban Heat Island (UHI) intensity to city‐scale energy demand—higher daytime cooling demand and altered nighttime heating demand—supporting targeted mitigation and planning. ABSTRACT This study examines the surface urban heat island (SUHI) effect on building energy consumption in Tehran from 1998 to 2024, utilizing MODIS
Rasool Maroofiazar, Ali Maboudi Reveshti
wiley   +1 more source

Forced Draught Impact on Externally Venting Flames: An Experimental and Numerical Investigation

Fire and Materials, EarlyView.
ABSTRACT Wind can significantly influence fire development and spread in urban and forest environments causing fatal consequences for the public, the first responders, and the environment. Wind‐driven fires can have a significant impact on structural fires as wind can increase the fire's intensity, development, and flame spread.
Anoop Subramania Warrier, Jan Smolka, Kamila Kempna, Meet Panchal, Tony Graham, Eleni Asimakopoulou   +5 more
wiley   +1 more source

Comparison of noninvasive and intermittent positive pressure ventilation in treating extremely premature and extremely low birth weight infants. [PDF]

J Int Med Res
Chen H, Zhang M, Bai X, Zheng S, Wei D, Zhang M, Qiao Y.   +6 more
europepmc   +1 more source