Results 141 to 150 of about 1,092,292 (254)
Sustainable Development, EarlyView.ABSTRACT The uneven labour‐market consequences of climate transition are now well established; the unresolved question is how decarbonisation is converted into unequal worker trajectories and why policies framed as inclusive repeatedly reach workers unevenly. This critical narrative review, supported by systematic search procedures, synthesises a final
Jacob Kwakye
wiley +1 more source
PELABELAN EDGE GRACEFUL PADA BEBERAPA KELAS GRAF
, 2014 Misal G graf dengan p titik dan q sisi. Pelabelan edge graceful pada graf G adalah pemberian nilai pada sisinya dengan bilangan bulat positif {1, 2, 3, ..., q} sedemikian hingga titiknya mendapat label dari penjumlahan label sisi yang menempel pada
Tety Anisa Kasumasari
core
Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning
SmartBot, EarlyView.Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo +2 more
wiley +1 more source
Small, EarlyView.Covalent organic frameworks provide a structurally programmable platform for solid‐state lithium batteries. This review outlines a design framework linking structural descriptors to ion‐transport metrics. It examines mechanisms of confinement, channel architecture, and hybrid designs, addressing the reasons for the occasional failure of high intrinsic ...
Rajesh Dhanushkotti +7 more
wiley +1 more source
Graceful and residually graceful graphs
, 2006 Graph labeling is an assignment of integers to the vertices and/or edges of a graph, subject to certain conditions. The first type of labeling was introduced by Rosa as early as 1967. It is called -valuation and, more popularly known as graceful labeling
Tan, Michele Go
core
Early-warning industrial fault detection based on physics-guided residual learning and calibrated CRNNs. [PDF]
Sci RepKhan A +8 more
europepmc +1 more source
Small, EarlyView.ABSTRACT Bioactive gold plasmonic nanostructures are enabling non‐invasive saliva diagnostics by amplifying weak Raman signals and converting complex biofluid chemistry into information‐rich spectral fingerprints. This Review examines saliva‐based Raman and surface‐enhanced Raman spectroscopy (SERS) integrated with artificial intelligence (AI) from a ...
Ajitesh Dhal +5 more
wiley +1 more source
Physics-guided self-supervised learning for high-fidelity reconstruction in live-cell imaging. [PDF]
Npj ImagingXu G, Li X, Chen X.
europepmc +1 more source
A Test of the Coase Conjecture Using Prices of Electronic Books
Southern Economic Journal, EarlyView.ABSTRACT The Coase Conjecture predicts that a durable‐goods monopolist without commitment will rapidly cut price toward marginal cost. We test this prediction in the electronic‐book market using release‐day prices. To proxy for marginal cost, we use competitive prices of public‐domain electronic books on the same platforms.
Tim Groseclose, Alex Tabarrok
wiley +1 more source
Graph-theoretic active learning for the closed-loop discovery of stochastic heterogeneous composites. [PDF]
PLoS OneQiu L, Zhang S, Yang Y, Wang M.
europepmc +1 more source