Research progress in photo‐controlled radical involved luminescence materials
This review systematically dissects radical generation mechanisms, triplet‐exciton photophysics, material design strategies, and cutting‐edge applications in smart encryption, environmental sensing, and 3D printing. Abstract In recent years, photo‐controlled radical room‐temperature phosphorescent (RTP) materials have shown significant application ...
Sichen Meng +8 more
wiley +1 more source
Electrocardiogram-Based Biometric Identification Using Mixed Feature Extraction and Sparse Representation. [PDF]
Zhang X, Liu Q, He D, Suo H, Zhao C.
europepmc +1 more source
Recent progress and challenges in top‐emitting quantum dot light‐emitting diodes
This review summarizes recent advances in top‐emitting quantum‐dot light‐emitting diodes (TE‐QLEDs), including device architectures, microcavity engineering, angular‐emission management, and operational stability, highlighting optical–electrical–thermal co‐optimization as the key pathway toward reliable, high‐performance TE‐QLEDs. Abstract Top‐emitting
Chengyi Chen +6 more
wiley +1 more source
Selection of the Minimum Number of EEG Sensors to Guarantee Biometric Identification of Individuals. [PDF]
Ortega-Rodríguez J +2 more
europepmc +1 more source
The study outlines the tectono‐sedimentary evolution of the İnegöl Basin in north‐western Anatolia. Basin formation was controlled by interacting extensional and strike‐slip fault systems linked to uplift of the Uludağ Massif. Terrestrial sedimentation from the Miocene to Pleistocene is reconstructed using abundant fossil mammal assemblages that ...
M. Cihat Alçiçek +2 more
wiley +1 more source
An Improved Multimodal Biometric Identification System Employing Score-Level Fuzzification of Finger Texture and Finger Vein Biometrics. [PDF]
Haider SA +8 more
europepmc +1 more source
Biometric Identification Advances: Unimodal to Multimodal Fusion of Face, Palm, and Iris Features
Due to increased information security concerns, biometric recognition technology has become more important. Unimodal biometrics still work effectively, but they struggle with noise sensitivity and spoof attack susceptibility since they rely on a single
KADHIM, O. N., ABDULAMEER, M. H.
doaj +1 more source
Neuromorphic hardware enables the integration of sensing, memory, and computing for intelligent artificial perception. Recent advances in multimodal fusion further highlight its potential for embodied intelligence and next‐generation human–machine interfaces.
Yixin Zhu +3 more
wiley +1 more source
Commentary: Unfolding the role of biometric identification procedures in the current digital era. [PDF]
Gurnani B, Kaur K, Sharma T, Sharma V.
europepmc +1 more source
How Does AI Empower Corporate ESG Practices? Mechanisms Based on Information Processing Theory
ABSTRACT In the context of the latest technological revolution and industrial transformation, Artificial Intelligence (AI) provides new impetus for the development of corporate ESG practices. This study, based on data from 2630 A‐share listed companies in China from 2010 to 2022, examines the impact of AI on corporate ESG performance and its mechanisms
Qin Zhu, Shanshan Jiang, Anna Min Du
wiley +1 more source

