Benchmarking Sequence-Based Compound-Protein Interaction Prediction through Constructing a Debiased Data Set CDPN. [PDF]
Hao Y +5 more
europepmc +1 more source
This review comprehensively outlines how Ti3C2Tx MXene transforms carbon fiber from a structural component into a multifunctional platform. We systematically detail cutting‐edge modification strategies and showcase exceptional performance in EMI shielding, energy storage, smart sensing, and beyond.
Hongshuo Cao +6 more
wiley +1 more source
Bioactivity Deep Learning for Complex Structure-Free Compound-Protein Interaction Prediction. [PDF]
Gu Y, Xia S, Ouyang Q, Zhang Y.
europepmc +1 more source
This paper reviews the physics of liquid metals in RF devices, including the influence of mechanical strain on resonance as well as fabrication methods and strategies for designing tunable and strain‐tolerant inductors, capacitors, and antennas.
Md Saifur Rahman, William J. Scheideler
wiley +1 more source
Virtual Histology Staining of Skin Tissue using Ex Vivo Confocal Microscopy and Deep Learning. [PDF]
Bagheri M +5 more
europepmc +1 more source
Contribution to the coordinated virtual network embedding problem in network virtualization
The VNE problem is studied in the literature using different mechanism. In this work, coordinated allocation mechanisms (node and link) will be considered in order to enhance the results.
openaire +1 more source
Mechanistic Considerations for Battery Charging Protocol Design
This review bridges practical fast‐charging protocols with fundamental mechanisms of SOC‐dependent structural and compositional changes in electrode materials, kinetic limitations such as polarization and inhomogeneity, and heat generation characteristics shaped by protocol design.
Wenlong Li +13 more
wiley +1 more source
AI-driven virtual cell models in preclinical research: technical pathways, validation mechanisms, and clinical translation potential. [PDF]
Ma C +10 more
europepmc +1 more source
Citizen Engagement for Social and Technological Innovation in Sustainable Energy Systems
This study underscores the potential of citizen participation in the energy transition by providing insights to foster citizen‐driven innovation. An analysis of energy communities, one of the most dynamic innovations in the energy sector, reveals that these models can be citizen‐led initiatives regarding their operational and organizational structure ...
Ana Belén Cristóbal +3 more
wiley +1 more source
Hierarchical affinity landscape navigation through learning a shared pocket-ligand space. [PDF]
Feng B +8 more
europepmc +1 more source

