Results 231 to 240 of about 346,958 (424)
Annals of Gastroenterological Surgery, EarlyView.This is the second installment in the series, “The Interview with the World‐Class Authorities.” We are honored to welcome Prof. Luis Diaz, the Director of the Division of Solid Tumor Oncology at Memorial Sloan Kettering Cancer Center and Editor‐in‐Chief of Cancer Discovery. Prof.
Haruna Takeda +4 more
wiley +1 more source
The College's Comments on the Report of the Royal Commission on Gambling: Summary [PDF]
, 1979 openalex +1 more source
Australian gambling research priorities: summary findings from consultations conducted by the Australian Gambling Research Centre [PDF]
This paper on gambling research priorities is intended to assist researchers and policy makers to develop research focused on improving the short- and long-term health and wellbeing of Australians who gamble and who are affected by gambling.
Anna Thomas +2 more
core
The World at 18,000BP. Vol. 1. High Latitudes. O. Soffer and C. Gamble 1990. London, Unwin Hyman. 353 p, illustrated, hard cover. ISBN 0-04-445126-1. £45.00. [PDF]
, 1990 openalex +1 more source
Machine‐Learning‐Based, Feature‐Rich Prediction of Alumina Microstructure from Hardness
Advanced Intelligent Discovery, EarlyView.Herein, high‐performance generative adversarial network (GAN), named ‘Microstructure‐GAN’, is demonstrated. After training, the high‐fidelity, feature‐rich micrographs can be predicted for an arbitrary target hardness. Microstructure details such as small pores and grain boundaries can be observed at the nanometer scale in the predicted 1000 ...
Xiao Geng +10 more
wiley +1 more source
The impact of socio‐economic factors on gambling expenditure [PDF]
, 1999 Allan P. Layton, Andrew C. Worthington
openalex +1 more source
Joint Situational Assessment‐Hierarchical Decision‐Making Framework for Maneuver Intent Decisions
Advanced Intelligent Systems, EarlyView.This study introduces a new framework for decision‐making in unmanned combat aerial vehicles (UCAVs), integrating graph convolutional networks and hierarchical reinforcement learning (HRL). The method tackles adopts a curriculum‐based training approach guided by cross‐entropy rewards.
Ruihai Chen +4 more
wiley +1 more source