Results 271 to 280 of about 533,110 (350)

PROBLEMATIC INTERNET USE PADA REMAJA: ANALISIS BIBLIOMETRIK [PDF]

open access: bronze
Prilya Shanty Andrianie   +2 more
openalex   +1 more source

Unpaired Learning‐Enabled Nanotube Identification from AFM Images

open access: yesAdvanced Science, EarlyView.
Identifying nanotubes on rough substrates is notoriously challenging for conventional image analysis. This work presents an unpaired deep learning approach that automatically extracts nanotube networks from atomic force microscopy images, even on complex polymeric surfaces used in roll‐to‐roll printing.
Soyoung Na   +10 more
wiley   +1 more source

Loneliness and Problematic Internet Use in Adolescents: The Mediating Role of Dissociation. [PDF]

open access: yesChildren (Basel)
Matiz A   +6 more
europepmc   +1 more source

Intertidal Warfare: Synergistic Allelopathy Mediates Spatial Competition between Two Marine Calcareous‐Shelled Sessile Organisms

open access: yesAdvanced Science, EarlyView.
This study reveals a hidden chemical weapon among calcareous‐shelled sessile organisms in the intertidal zone: the barnacle Balanus albicostatus releases a synergistic blend of palmitic acid and 1‐palmitoyl‐sn‐glycero‐3‐phosphocholine as the allelochemical with the inhibitory activity against attachment of the mussel Vignadula atrata, which may mediate
Zhuo Li   +9 more
wiley   +1 more source

Explicit Compression Degradation Estimations for Low‐Sampling Single‐Pixel Imaging using Hadamard Basis

open access: yesAdvanced Science, EarlyView.
This study proposes a degradation estimation technique to explicitly describe compressive sampling for low‐sampling Hadamard single‐pixel imaging. Blur kernels in explicit degradation models are estimated by the self‐supervised learning method without labeled data and implicit priors.
Haoyu Zhang   +4 more
wiley   +1 more source

Exploring the Association Between Problematic Internet Use, Internet Gaming Disorder in Adolescents with ADHD: A Scoping Review. [PDF]

open access: yesInt J Environ Res Public Health
Ghiaccio R   +5 more
europepmc   +1 more source

CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics

open access: yesAdvanced Science, EarlyView.
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy