Inflation Targeting in Emerging Market Economies
Armínio Fraga +2 more
openalex +1 more source
Real‐Time and Rapid Dynamic Missile Identification Utilizing a TiOx Memristor Array
Real‐time missile target identification is demonstrated using an artificial intelligence model based on step‐weighted long–short‐term memory networks and a TiOx memristor array. The approach classifies five projectile types with enhanced early‐stage prediction through data augmentation and custom training strategies. Achieving 94.4% accuracy, the model
Mingyu Kim, Gwanyeong Park, Gunuk Wang
wiley +1 more source
Public opinion on policy interventions for regulating four unhealthy commodity industries: a cross-sectional online survey of a representative sample of British adults 2023. [PDF]
Reed E +7 more
europepmc +1 more source
A Review of Trans‐Dimensional Kirigami: From Compliant Mechanism to Multifunctional Robot
This review outlines recent advancements in the geometric design and mechanical properties of kirigami. The kirigami is classified into two categories from a compliant mechanism perspective, highlighting their applications in metamaterials and robotic systems. Finally, the future research directions, is explored focusing on the potential of integrating
Yang Yu +14 more
wiley +1 more source
Efficacy analysis of percutaneous balloon compression therapy for trigeminal neuralgia guided by three-dimensional digital subtraction angiography navigation. [PDF]
Xu Z, Li H, Liu M, Xu K.
europepmc +1 more source
This paper presents a degeneracy‐aware light detection and ranging (LiDAR)‐inertial framework that enhances LiDAR simultaneous localization and mapping performance in challenging environments. The proposed system integrates a dual‐layer robust odometry frontend with a Scan‐Context‐based loop‐closure detection backend.
Haoming Yang +4 more
wiley +1 more source
Parkinson's disease-associated alterations in DNA methylation and hydroxymethylation in human brain. [PDF]
Choza JI +5 more
europepmc +1 more source
Disentangling Coincident Cell Events Using Deep Transfer Learning and Compressive Sensing
Overlapping cells during detection distort single‐cell measurements and reduce diagnostic accuracy. A hybrid framework combining a fully convolutional neural network with compressive sensing to disentangle overlapping signals directly from raw time‐series data is presented.
Moritz Leuthner +2 more
wiley +1 more source
Sports gambling in the Americas: the rise of invisible risks. [PDF]
The Lancet Regional Health-Americas.
europepmc +1 more source

