Dysregulated protein modifications drive tumorigenesis. RINES, an E3 ubiquitin ligase, represses tumor cell proliferation and metastasis by facilitating RING domain‐dependent, ubiquitin–proteasome‐mediated degradation of STAT3 and MYC, which consequently restrains cancer stemness and oncogenic progression.
Lili Li +8 more
wiley +1 more source
Accelerated Discovery-to-Unveiling of High-Performance and Affordable Ammonia Electrode Process by Human-Machine Collaboration Framework. [PDF]
Cheng Y +3 more
europepmc +1 more source
Human-machine collaboration: bringing artificial intelligence into colonoscopy. [PDF]
Ahmad OF, Stoyanov D, Lovat LB.
europepmc +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Randomised study of human machine collaboration for cardiotocography interpretation during labour. [PDF]
Ben M'Barek I +6 more
europepmc +1 more source
Towards efficient human-machine collaboration: effects of gaze-driven feedback and engagement on performance. [PDF]
Mitev N +3 more
europepmc +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Partner or burden? The dual pathways linking perceived attributes of intelligent cockpits to human-machine collaboration willingness via cognitive load. [PDF]
Li S.
europepmc +1 more source
Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
wiley +1 more source
Evaluating human-machine collaboration through a comparative analysis of experts, machine learning, and hybrid approaches in real estate valuation. [PDF]
Kmen C +3 more
europepmc +1 more source

