Bistable Mechanisms 3D Printing for Mechanically Programmable Vibration Control
This work introduces a 3D‐printed bistable mechanism integrated into tuned mass dampers (TMDs) for mechanically adaptive passive vibration suppression. Through optimized geometry, the bistable design provides adaptable vibration reduction across a broad range of scenarios, achieving effective vibration mitigation without complex controls or external ...
Ali Zolfagharian +4 more
wiley +1 more source
Implication of GluR2 subunit of AMPA receptor in RGS14(414)-mediated memory enhancement [PDF]
Ongoing quest for finding treatment against memory loss seen in aging and in many neurological and neurodegenerative diseases, so far has been unsuccessful and memory enhancers are seen as a potential remedy against this brain dysfunction.
Bashir, Zafar I. +3 more
core
Laser Metal Deposited Ti4822 Hollow Pipe: Experimental and Computational Modelling Study
Laser metal deposition (LMD) of a crack‐free built Ti4822 alloys is challenging. This article reports outstanding characteristics of a hollow pipe that is built with LMD technology when a predicted, nontransformation substrate temperature of 800 °C is used.
Sadiq A. Raji +5 more
wiley +1 more source
Short-Term Memory Through Persistent Activity: Evolution of Self-Stopping and Self-Sustaining Activity in Spiking Neural Networks [PDF]
Memories in the brain are separated in two categories: short-term and long-term memories. Long-term memories remain for a lifetime, while short-term ones exist from a few milliseconds to a few minutes.
Hubert, Julien, Ikegami, Takashi
core
Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications
Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai +8 more
wiley +1 more source
Wind power deviation charge reduction using long short term memory network
High penetration of variable generation like wind in modern power systems results in frequent load-generation imbalances. Additional spinning reserves and balancing services are deployed to reduce or avoid such imbalances.
Sandhya Kumari +3 more
doaj +1 more source
Deep Learning-Based Autoscaling Using Bidirectional Long Short-Term Memory for Kubernetes [PDF]
Nhat-Minh Dang-Quang, Myungsik Yoo
openalex +1 more source
Recall of paired-associates as a function of overt and covert rehearsal procedures [PDF]
Effect on memory of mode of studying paired associates, and mathematical model employing short term rehearsal buffer and long term ...
Atkinson, R. C., Brelsford, J. W., Jr.
core +1 more source
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Short- and long-term temporal network prediction based on network memory [PDF]
Li Zou, Alberto Ceria, Huijuan Wang
openalex +1 more source

