Results 61 to 70 of about 294,685 (238)

A Review on Catalytic Nanostructured Electrodes for Wearable and Implantable Abiotic Glucose Fuel Cells

Advanced Science, EarlyView.
This review identifies current and future directions in abiotic nanostructured catalysts to develop reliable and sustainable glucose fuel cells to power the next generation of bioelectronic devices. ABSTRACT The global rise in incidence of chronic diseases has led to the demand for innovative solutions that help patients manage their conditions with ...
Asghar Niyazi, Hannah S. Leese, Benjamin Metcalfe, Mirella Di Lorenzo   +3 more
wiley   +1 more source

Significance of Physiological Signal Thresholds in the Early Diagnosis of Simulator Sickness

IEEE Access
Simulator sickness not only degrades the quality of interaction within simulator environments but also poses challenges for user enjoyment and the long-term viability of simulation technologies.
Ghazal Rahimzadeh, Pawel Plawiak, Shady Mohamed, Kathleen Lacy, Darius Nahavandi, Ryszard Tadeusiewicz, Houshyar Asadi   +6 more
doaj   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Analysis of Motion Sickness Associated Brain Activity Using fNIRS: A Driving Simulator Study

IEEE Access, 2020
Motion sickness is a common disease encountered in traditional vehicles as well as autonomous vehicles, which will negatively affect user acceptance. To make clear the pathogenesis of motion sickness, this study focused on drivers' brain activity changes
Chenyang Zhang, Shuguang Li, Yaohua Li, Shengbo Eben Li, Bingbing Nie   +4 more
doaj   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Sensation of presence and cybersickness in applications of virtual reality for advanced rehabilitation

Journal of NeuroEngineering and Rehabilitation, 2007
Around three years ago, in the special issue on augmented and virtual reality in rehabilitation, the topics of simulator sickness was briefly discussed in relation to vestibular rehabilitation.
So Richard HY, Kiryu Tohru
doaj   +1 more source

Assessing Strengths and Limitations of Magnetoencephalography Source Imaging With Intracerebral EEG

Advanced Science, EarlyView.
Simultaneous MEG and stereotactic EEG (SEEG) recordings provide a direct validation framework for MEG source imaging in focal epilepsy. Virtual SEEG signals derived from MEG reconstructions reveal significant agreement with intracranial measures of spike localization, resting‐state oscillations, and functional connectivity, while also identifying ...
Jawata Afnan, Maria Fratello, Francesca Bonini, Samuel Medina Villalon, Zhengchen Cai, Jean‐Marc Lina, Jean‐Michel Badier, Fabrice Bartolomei, Jean Gotman, Christian G. Bénar, Christophe Grova   +10 more
wiley   +1 more source

PEAR1 Promotes Glucose Metabolism Reprogramming in Sepsis‐Associated Acute Lung Injury via AARS1‐Mediated HIF‐1α Lactylation

Advanced Science, EarlyView.
This study revealed that a PEAR1/HIF‐1α/ glycolysis/lactate/H3K18la positive feedback loop in PMVECs that drives the development of S‐ALI. Mechanistically, PEAR1 mediates the binding of HIF‐1α to AARS1, leading to the lactylation of HIF‐1α, the primary lactylation site of which is K172.
Shuai Li, Zongqing Lu, Pu Fang, Qingqing Pang, Xianghui Wu, Bo Wang, Min Liang, Jingjing Pan, Haobo Kong, Haijian Cai, Juanjuan Li, Jiaying Kang, Dongsheng Wang, Dunling Xia, Mengmeng Xu, Qinghai You   +15 more
wiley   +1 more source

Firms’ moral hazard in sickness absences [PDF]

Sick workers in many countries receive sick pay during their illness- related absences from the workplace. In several countries, the social security system insures firms against their workers’ sickness absences.
René Böheim, Thomas Leoni
core   +4 more sources