Results 81 to 90 of about 4,340 (289)

Interesse – en vigtig forudsætning for biologistuderendes engagement i zoofysiologi

Dansk Universitetspaedagogisk Tidsskrift, 2010
Interesse er en vigtig motivationsfaktor, som har stor indflydelse på studerendes læringsmotivation. I artiklen præsenteres en undersøgelse af, hvad der fanger studerendes interesse i relation til undervisningen på et kursus i zoofysiologi. Undersøgelsen
Niels Bonderup Dohn
doaj   +2 more sources

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

The Classification of Death-Related Experiences: A Novel Approach to the Spectrum of Near-Death, Coincidental-Death, and Empathetic-Death Events

, 2021
The Classification of Death-Related Experiences: In 1866, Edmund Gurney, Frederic Myers and Frank Podmore published Phantasms of the Living, which included descriptions of “crisis apparitions” where someone who was dying was “seen” by someone who was ...
von dem Hagen, Toni dem
core  

Analysis of Thermal Comfort on Planes

, 2020
Thermal comfort is related to the feeling of well-being; of not feeling cold or hot. The Fanger model tries to predict this. Measurements have been made.
Krawczyk, Natalia
core   +1 more source

Advancements in Graphdiyne‐Based Multiscale Catalysts for Green Hydrogen Energy Conversion

Advanced Intelligent Discovery, EarlyView.
This review systematically explores the fundamental characteristics of graphdiyne (GDY), cutting‐edge field of GDY‐based multiscale catalysts within sustainable energy conversion systems.Special emphasis is placed on the structure‒property relationships in different reactions.
Qian Xiao, Lu Qi, Siao Chen, Yurui Xue
wiley   +1 more source

Supramolecular Modulation of Photoinduced Charge Transfer: Tuning Between Tunneling and Incoherent Hopping

Angewandte Chemie, EarlyView.
Molecular recognition guest binding can comprehensively modulate photoinduced charge‐transfer dynamics in the cyclophane host, including charge separation and recombination, via coherent superexchange and incoherent hopping. Unlike covalent donor–bridge–acceptor systems, this supramolecular approach avoids tedious syntheses and offers precise tuning of
Xueze Zhao, Guangcheng Wu, Chun Tang, Georgia C. Mantel, Bai‐Tong Liu, Yi‐Kang Xing, Han Han, Shuai Fang, Charlotte L. Stern, J. Fraser Stoddart, Michael R. Wasielewski, Ryan M. Young   +11 more
wiley   +2 more sources

Sjögren's Syndrome Treatments in the Microbiome Era. [PDF]

Adv Geriatr Med Res, 2023
Freguia CF, Pascual DW, Fanger GR.
europepmc   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source