Results 71 to 80 of about 2,803,034 (293)

Non‐Invasively Quantitative Raman Imaging for Calculation of Lymphatic Transport Kinetics of Micelles in Mice

Advanced Science, EarlyView.
Non‐invasively quantitative Raman imaging with stacking‐induced charge transfer‐enhanced Raman scattering (SICTERS) enables accurate measurement of concentrations and pharmacokinetic modeling of lymphatic transport of micelles in mice. This platform allows dynamic analysis of nanoparticle transport and underpins the design of effective lymph node ...
Yunlu Li, Hongzheng Lin, Sheng Yu, Yunhui Liao, Teng Huang, Zeyu Xiao, Wei Lu   +6 more
wiley   +1 more source

Cross‐scale Material‐Structure Synergy for 2D Metamaterials: Toward Customizable Intelligent Electromagnetic Manipulation in Multiphysics Fields

Advanced Science, EarlyView.
Recent advances in metasurface‐enabled low‐observable technologies are reviewed from the perspective of cross‐scale material–structure synergy. Electromagnetic, thermal, optical, and acoustic stealth are highlighted together with dynamic tuning, programmable coding, data‐driven inverse design, artificial intelligence, multispectral compatibility, and ...
Shuhao Wang, Xing Yang, Liping Liu, Yang Peng, Yangyang Wang, Hualiang Lv   +5 more
wiley   +1 more source

The Effects of Feedback and Cue Modalities on Deception Detection: Type of Stimulus Matters

, 2017
PURPOSE:: Deception detection studies had established that the detection accuracy was only slightly better than chance. The present study investigated whether deception detection could benefit from feedback treatment, and whether the effect would be ...
He Li, Xiaolan Fu
core   +1 more source

Deception Detection Across Domains, Languages and Modalities [PDF]

, 2022
With the increase of deception and misinformation especially in social media, it has become crucial to develop machine learning methods to automatically identify deception.
Panda, Subhadarshi
core   +1 more source

Psychophysiological indexes in the detection of deception: A systematic review

Acta Psychologica
Robust evidence on deception detection highlights that humans perform at chance level, especially when a truth-default cognitive threshold is crossed by the deceiver.
Gianmarco Convertino, Jessica Talbot, Giuliana Mazzoni   +2 more
doaj   +1 more source

Continuous Molecular Monitoring Using Electrochemical Aptamer‐Based Sensors: Remaining Challenges for Long‐Term In Vivo Deployment

Advanced Science, EarlyView.
Continuous molecular monitoring using electrochemical aptamer‐based sensors enables real‐time tracking of dynamic biomarkers with transformative potential for precision medicine. Achieving clinically relevant month‐long stability remains a central challenge due to multiple degradation pathways.
Shibo Liu, Xiangling Li, Wei Ouyang
wiley   +1 more source

Differences in Language Used by Deceivers and Truth-Tellers in Thai Online Chat

Journal of the Southeast Asian Linguistics Society, 2017
Deception detection, especially in online communication, is a burgeoning area of research, but most previous studies have focused on English. Therefore, in this paper, we investigate the applicability of English deceptive features to Thai and also ...
Montarat Rungruangthum, Richard Watson
doaj  

Hope and Deception

, 1999
Convinced of hope's therapeutic benefits, physicians routinely support patients' false hopes, often with family collusion and vague, euphemistic diagnoses and prognoses, if not overt lies.
Ruddick, William
core   +1 more source

Engineered Allosteric Biosensor for In Situ DNA Glycosylase Detection in Neuroblastoma Risk Stratification and Drug Resistance Monitoring

Advanced Science, EarlyView.
An engineered allosteric biosensor (UUU‐DZ‐tFNA) was developed, in which UDG specifically recognizes and activates a DNAzyme to achieve signal cycle amplification in a sequentially activatable mode. UUU‐DZ‐tFNA achieves in situ UDG detection across multiple biological levels and facilitates risk stratification and drug resistance monitoring of NB ...
Yaqing Lu, Yingyu Zhang, Xianwei Zhang, Mengxin Zhang, Fei Zhang, Jushan Sun, Yahui Yang, Kangbo Liu, Peng Wang, Shuying Luo, Wancun Zhang   +10 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source