Results 91 to 100 of about 875,238 (253)

Intermittent Propagation of Upward Positive Leader Connecting a Downward Negative Leader in a Negative Cloud-to-ground Lightning

open access: green, 2019
Abhay Srivastava   +7 more
openalex   +3 more sources

Cosmovision as Cognitive Technology: The Case of Mesoamerican Medicinal Knowledge

open access: yesTopics in Cognitive Science, EarlyView.
Abstract We examine the use of cognitive technologies in the acquisition and retention of botanical and medicinal knowledge. We focus on the Cruz‐Badianus codex, a 16th‐century Nahua (Aztec) herbarium which discusses the use of plants for a range of illnesses.
Johan De Smedt, Helen De Cruz
wiley   +1 more source

Fabrication of extruded vertical axis turbine blades [PDF]

open access: yes, 1979
Important characteristics of the extruded aluminum blade for the Vertical Axis Wind Turbine are presented.
Craig, A. G., Jr.
core   +1 more source

Systolic‐dominant coronary flow in rats and mice: Challenging the diastolic paradigm across conscious and anaesthetized states

open access: yesExperimental Physiology, EarlyView.
Abstract Extensive research in humans, dogs, rabbits, rats, mice and other mammals has consistently demonstrated that coronary blood flow (CBF) peaks during ventricular diastole. For example, studies using transthoracic Doppler echocardiography in anaesthetized rats and mice, isolated blood‐perfused rat hearts and Doppler probes sutured to the ...
Heidi L. Lujan   +2 more
wiley   +1 more source

Wiring devices and supplies : 2003 [PDF]

open access: yes, 2004
Current industrial report.

core  

Wiring devices and supplies : 2002 [PDF]

open access: yes, 2003
Current industrial report.

core  

A Hybrid Exponential Smoothing and LSTM Approach With Double Lightning Search for Enhanced Prediction of Lithium‐Ion Battery Remaining Useful Life

open access: yesBattery Energy, Volume 5, Issue 1, January 2026.
ES–LSTM–DLSA combines exponential smoothing with LSTM to model lithium‐ion battery degradation dynamics. DLSA optimizes hyperparameters for accuracy and efficiency. The method predicts battery capacity with error below ±0.002 Ah, detects end‐of‐life, performs robustly in noisy, nonlinear conditions, and supports real‐time monitoring for safe, reliable ...
Mohammad Rajabzadeh   +3 more
wiley   +1 more source

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