A logic-based knowledge-driven bidirectional multi-attention GRU framework for fear level classification in humans. [PDF]
Joshva AA +2 more
europepmc +1 more source
Keeping Pace or Falling Behind? The Depth of Latin American Trade Agreements
ABSTRACT This article examines whether Latin American countries are keeping pace with global trends in trade agreement depth or falling behind. Using 681 agreements (1970–2019), we develop the Depth Index of Trade Agreements (DITA) to weight provisions endogenously through factor analysis based on co‐occurrence patterns.
Raphael Gomes da Silva +2 more
wiley +1 more source
Programmable Speech Recognition Based on Cu/CuBiSe<sub>2</sub>/SrNbO<sub>3</sub>/W Memristors. [PDF]
Jin S +9 more
europepmc +1 more source
Linear Temporal Logic (LTL) Based Monitoring of Smart Manufacturing Systems. [PDF]
Heddy G +6 more
europepmc +1 more source
ABSTRACT Hybrid modeling combines first‐principles equations with a data‐driven subcomponent. Training for the data‐driven part is sensitive to measurement noise when training targets are constructed using pointwise time derivatives. Beyond differentiation errors, hybrid models involve solving an inverse problem to estimate the data‐driven term, which ...
Hangjun Cho +4 more
wiley +1 more source
Aligning statistical models with inference goals in the neuroscience of language: A dual-dependency taxonomy. [PDF]
Bouton S +5 more
europepmc +1 more source
Asking the 5 W's for designing next‐generation bioprocessing
Abstract Biotechnology is expanding beyond traditional, centralized fermentation and toward next‐generation bioprocessing paradigms that emphasize flexible deployment outside the laboratory with application‐specific performance. However, many bioprocesses fail to translate beyond proof‐of‐concept into industrially viable systems because early design ...
Sangdo Yook +4 more
wiley +1 more source
Reset-free DNA logic circuits for real-time input processing and memory. [PDF]
Sim J +8 more
europepmc +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Rebuilding spinal circuit function after spinal cord injury through a patient-specific interneuron precision model. [PDF]
Jagadeesan SK, Sandarage RV, Tsai EC.
europepmc +1 more source

