Results 41 to 50 of about 857,892 (290)

Attitude determination with three-axis accelerometer for emergency atmospheric entry [PDF]

open access: yes, 2012
Two algorithms are disclosed that, with the use of a 3-axis accelerometer, will be able to determine the angles of attack, sideslip and roll of a capsule-type spacecraft prior to entry (at very high altitudes, where the atmospheric density is still very ...
Garcia-Llama, Eduardo
core   +1 more source

Llama Meat Nutritional Properties

open access: yesItalian Journal of Animal Science, 2007
The aim of this study was to determine the chemical composition of the muscle Longissimus thoracis taken from 20 llama males, reared in the Andean region, slaughtered at an age of 25 months and at a mean final body weight of 74kg. Llama meat showed a low fat (3.51%) and cholesterol content (58.16mg/100g), a good protein content (22.42%) and an ash ...
POLIDORI, Paolo   +3 more
openaire   +4 more sources

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

open access: yesAdvanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki   +2 more
wiley   +1 more source

Case Report: Neurological examination, computed tomography, and magnetic resonance imaging in South American camelids and a dromedary

open access: yesFrontiers in Veterinary Science
IntroductionSouth American camelids (SACs) and dromedaries presenting with neurological abnormalities are increasingly common in veterinary practice. Advanced diagnostic imaging techniques, such as computed tomography (CT) and magnetic resonance imaging (
Marlene Sickinger   +3 more
doaj   +1 more source

Exoplanet Transit Variability: Bow Shocks and Winds Around HD 189733b

open access: yes, 2013
By analogy with the solar system, it is believed that stellar winds will form bow shocks around exoplanets. For hot Jupiters the bow shock will not form directly between the planet and the star, causing an asymmetric distribution of mass around the ...
Fares, R.   +5 more
core   +1 more source

Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis

open access: yesAdvanced Science, EarlyView.
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu   +4 more
wiley   +1 more source

Classification of Hacker’s Posts Based on Zero-Shot, Few-Shot, and Fine-Tuned LLMs in Environments with Constrained Resources

open access: yesFuture Internet
This paper investigates, applies, and evaluates state-of-the-art Large Language Models (LLMs) for the classification of posts from a dark web hackers’ forum into four cyber-security categories.
Theodoros Giannilias   +3 more
doaj   +1 more source

Plasma IGF1 and 17β-Estradiol Concentrations During the Follicular Wave in Llamas

open access: yesFrontiers in Veterinary Science, 2020
The aim of this study was to characterize the temporal association between follicular waves and circulating concentrations of 17β-estradiol (E2) and IGF1 in llamas. Follicular waves could be clearly divided in three phases: growth, plateau and regression;
María F. Gallelli   +8 more
doaj   +1 more source

Assessment of cerebrospinal fluid analysis and short‐term survival outcomes in South American camelids: A retrospective study of 54 cases (2005‐2021)

open access: yesJournal of Veterinary Internal Medicine, 2022
Background Cerebrospinal fluid (CSF) is commonly analyzed in South American camelids with suspected neurologic disease because of ease of collection and characteristic findings associated with certain diseases.
Samuel J. Bennett   +3 more
doaj   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

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