• Memristor-coupled asymmetric neural networks: bionic modeling, chaotic dynamics analysis and encryption application 

  Lin, Hairong; Wang, Chunhua; Sun, Jingru; Zhang, Xin; Sun, Yichuang; Iu, Herbert (2023-01-31)

  With the rapid development of artificial intelligence, it has important theoretical and practical significance to construct neural network models and study their dynamical behaviors. This article mainly focuses on the ...

• A dense mini-Neptune orbiting the bright young star HD 18599 

  Vines, Jose I.; Jenkins, James S.; Berdiñas, Zaira; Soto, Maritza G.; Díaz, Matías R.; Alves, Douglas R.; Tuomi, Mikko; Wittenmyer, Robert A.; Leon, Jerome Pitogo de; Peña, Pablo; Lissauer, Jack J.; Ballard, Sarah; Bedding, Timothy; Bowler, Brendan P.; Horner, Jonathan; Jones, Hugh R. A.; Kielkopf, John; Plavchan, Peter; Shporer, Avi; Tinney, C. G.; Wright, Hui Zhang Duncan J.; Addison, Brett; Mengel, Matthew W.; Okumura, Jack; Samadi-Ghadim, Anya (2022-10-13)

  Very little is known about the young planet population because the detection of small planets orbiting young stars is obscured by the effects of stellar activity and fast rotation which mask planets within radial velocity ...

• A Rare Case of Prostatic Stromal Tumour of Uncertain Malignant Potential Surrounding Ejaculatory Ducts in a Patient With Concurrent Prostate Adenocarcinoma 

  Chan, Kimberley; Piedad, John; Mudiyanselage, Amal; Janebdar, Husay; Narula, Ashish; Banks, Freddie; Roux, Jacques; Vasdev, Nikhil (2022-11-20)

  Stromal tumour of uncertain malignant potential (STUMP) is exceedingly rare. Diagnosis and management of STUMP present a challenge to the urologist due to the absence of specific clinical findings and its unpredictable ...

• Visualization study on operating performance of a dual compensation chamber loop heat pipe under acceleration condition 

  Xie, Yongqi; Fang, Zhen; Zhang, Hongxing; Wu, Hongwei; Liu, Siyuan (2022-11-25)

  In this article, a novel visual dual compensation chamber loop heat pipe (DCCLHP) under acceleration conditions was experimentally investigated. The working fluid was deionized water and the wick material was sintered ...

• Failure load prediction and optimisation for adhesively bonded joints enabled by deep learning and fruit fly optimisation 

  Li, Weidong; Liang, Yuchen; Liu, Yiding (2022-11-24)

  Adhesively bonded joints have been extensively employed in the aeronautical and automotive industries to join thin-layer materials for developing lightweight components. Tostrengthen the structural integrity of joints, it ...

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