Results 41 to 50 of about 90,225 (291)
Chemical Bonds Broken in Latent Tracks of Light Ions in Plastic Track Detectors
When a swift ion is slowed down through a plastic detector it creates a latent track. In nuclear track detectors, this latent track can be specifically etched by an appropriate chemical solution. This enlargement process is due to a higher etch velocity (VT) along the ion's path than in the non-damaged part of the detector. The etched track velocity is
Barillon, R. +3 more
openaire +4 more sources
MIDI-VAE: Modeling Dynamics and Instrumentation of Music with Applications to Style Transfer
We introduce MIDI-VAE, a neural network model based on Variational Autoencoders that is capable of handling polyphonic music with multiple instrument tracks, as well as modeling the dynamics of music by incorporating note durations and velocities.
Brunner, Gino +3 more
core +1 more source
Object Matching in Distributed Video Surveillance Systems by LDA-Based Appearance Descriptors [PDF]
Establishing correspondences among object instances is still challenging in multi-camera surveillance systems, especially when the cameras’ fields of view are non-overlapping.
C. Madden +6 more
core +4 more sources
Exposure of matter to high-energy heavy ions induces defects along the ion trajectories through electronic and nuclear energy loss processes. Defects, including color centers, can recombine or form along latent damage tracks in semiconductors.
Wei Liu +16 more
doaj +1 more source
Nuclear track-etched pore membrane production using neutrons from the Thai research reactor TRR-1/M1 [PDF]
This work presents the results of the nuclear pore membrane production using the neutrons from the Thai research reactor TRR-1/M1 for pore piercing process on the polycarbonate thin film.
Thawat Chittrakarn +6 more
doaj
Hierarchical Quantized Representations for Script Generation
Scripts define knowledge about how everyday scenarios (such as going to a restaurant) are expected to unfold. One of the challenges to learning scripts is the hierarchical nature of the knowledge.
Balasubramanian, Niranjan +3 more
core +1 more source
Deep Neuroevolution of Recurrent and Discrete World Models [PDF]
Neural architectures inspired by our own human cognitive system, such as the recently introduced world models, have been shown to outperform traditional deep reinforcement learning (RL) methods in a variety of different domains. Instead of the relatively
Asai Masataro +4 more
core +3 more sources
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim +3 more
wiley +1 more source
Contribution of Heat Fluxes on Cyclone Narelle as Simulated by a Mesoscale Model
- Heat fluxes from oceanic evaporation particularly latent heat is important to drive the formation and intensification of Cyclone Narelle. The research was carried out by introducing a mesoscale model, namely Weather and Research Forecasting (WRF).
Yopi Ilhamsyah +5 more
doaj +1 more source
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source

