Results 31 to 40 of about 473,597 (314)

Patient-Specific Sedation Management via Deep Reinforcement Learning

Frontiers in Digital Health, 2021
Introduction: Developing reliable medication dosing guidelines is challenging because individual dose–response relationships are mitigated by both static (e. g., demographic) and dynamic factors (e.g., kidney function).
Niloufar Eghbali, Tuka Alhanai, Mohammad M. Ghassemi   +2 more
doaj   +1 more source

From wild shrub to cultivated host: a genetic roadmap for enhancing lac production in Flemingia semialata

Frontiers in Plant Science
The global demand for natural, biodegradable resins such as shellac is increasing, yet production remains severely constrained by reliance on genetically unimproved host plants. Flemingia semialata Roxb.
Jyotirmoy Ghosh, Vaibhav D. Lohot, Nawalesh Kumar Sinha, Vidyapati Vidyakar   +3 more
doaj   +1 more source

Augmented Piano in Augmented Reality

, 2020
Augmented instruments have been a widely explored research topic since the late 80s. The possibility to use sensors for providing an input for sound processing/synthesis units let composers and sound artist open up new ways for experimentation. Augmented Reality, by rendering virtual objects in the real world and by making those objects interactive ...
openaire   +2 more sources

Sensory Augmentation through Tissue Conduction [PDF]

, 2017
One hundred volunteers have undergone short (5 min) listening tests in a novel multi-transducer bone-and-tissue conduction apparatus for spatial audio.
Peter Lennox, Lennox, Peter, Ian McKenzie, McKenzie, I.   +3 more
core   +1 more source

Levenshtein Augmentation Improves Performance of SMILES Based Deep-Learning Synthesis Prediction [PDF]

, 2020
SMILES randomization, a form of data augmentation, has previously been shown to increase the performance of deep learning models compared to non-augmented baselines.
Amol, Thakkar, Dean, Sumner, Esben Jannik, Bjerrum, Jiazhen, He, Ola, Engkvist   +4 more
core   +1 more source

Improving Acceptance to Sensory Substitution: A Study on the V2A-SS Learning Model Based on Information Processing Learning Theory

IEEE Transactions on Neural Systems and Rehabilitation Engineering
The visual sensory organ (VSO) serves as the primary channel for transmitting external information to the brain; therefore, damage to the VSO can severely limit daily activities. Visual-to-Auditory Sensory Substitution (V2A-SS), an innovative approach to
Kyeong Deok Moon, Yun Kyung Park, Moo Seop Kim, Chi Yoon Jeong   +3 more
doaj   +1 more source

What are the kinematic characteristics of the world champion couple in competitive ballroom dance during the waltz's spin movement?

Frontiers in Sports and Active Living, 2022
To evaluate competitive ballroom dancing, one of the official events of the World Games, spin movements used by advanced dancers who ranked high in actual competition may be employed.
Yasuyuki Yoshida, Arunas Bizokas, Katusha Demidova, Shinichi Nakai, Rie Nakai, Takuichi Nishimura, Takuichi Nishimura   +6 more
doaj   +1 more source

Conditional Generative Adversarial Networks for Data Augmentation of a Neonatal Image Dataset

Sensors, 2023
In today’s neonatal intensive care units, monitoring vital signs such as heart rate and respiration is fundamental for neonatal care. However, the attached sensors and electrodes restrict movement and can cause medical-adhesive-related skin injuries due ...
Simon Lyra, Arian Mustafa, Jöran Rixen, Stefan Borik, Markus Lueken, Steffen Leonhardt   +5 more
doaj   +1 more source

ABL kinase‐dependent phosphorylation of SH proteins promotes their direct interaction with CRK family SH2 domains

FEBS Letters, EarlyView.
CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens, Brendan W. Chandler, Anna M. Schmoker, Jaye L. Weinert, Charlotte A. Kearns, Warren T. Yacawych, Amila Šemić, Alicia M. Ebert, Bryan A. Ballif   +8 more
wiley   +1 more source

Virtual data augmentation method for reaction prediction in small dataset scenario [PDF]

, 2022
To improve the performance of data-driven reaction prediction models, a new data augmentation method for augmenting data volumes is presented that aims to add fake data in training dataset.
Yejian, Wu, Jiahui, Yu, Yun, Zhang, Hongliang, Duan, Xinqiao, Wang, Zhipeng, Wu, Xinyi, Wu, Chengyun, Zhang, Haoran, Qiao   +8 more
core   +1 more source