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22.
  • Auto-calibration of positio... Auto-calibration of position offset for PMSM drives with uncertain parameters
    Choi, K; Kim, Y; Kim, S.-K ... Electronics letters, 09/2020, Letnik: 56, Številka: 20
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    This Letter proposes a novel technique for automatic position offset calibration for permanent-magnet synchronous machine (PMSM) drives. Contrary to existing methods, the proposed technique estimates ...
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23.
  • MXene based emerging materi... MXene based emerging materials for supercapacitor applications: Recent advances, challenges, and future perspectives
    Panda, Subhasree; Deshmukh, Kalim; Khadheer Pasha, S.K. ... Coordination chemistry reviews, 07/2022, Letnik: 462
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    •Recent progress in MXene based supercapacitive energy storage is reviewed.•Top-down and bottom-up MXene synthesis methods are discussed.•Unique properties of MXenes have been reviewed.•Charge ...
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  • Vaginal compared with intra... Vaginal compared with intramuscular progestogen for preventing preterm birth in high‐risk pregnant women (VICTORIA study): a multicentre, open‐label randomised trial and meta‐analysis
    Choi, S‐J; Kwak, DW; Kil, K ... BJOG : an international journal of obstetrics and gynaecology, December 2020, 2020-12-00, 20201201, Letnik: 127, Številka: 13
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    Objective To compare the efficacy of two types of progestogen therapy for preventing preterm birth (PTB) and to review the relevant literature. Design A multicentre, randomised, open‐label, ...
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25.
  • RNA-sequencing of the brain... RNA-sequencing of the brain transcriptome implicates dysregulation of neuroplasticity, circadian rhythms and GTPase binding in bipolar disorder
    Akula, N; Barb, J; Jiang, X ... Molecular psychiatry, 11/2014, Letnik: 19, Številka: 11
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    RNA-sequencing (RNA-seq) is a powerful technique to investigate the complexity of gene expression in the human brain. We used RNA-seq to survey the brain transcriptome in high-quality postmortem ...
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26.
  • Predictors of failure to de... Predictors of failure to detect early hepatocellular carcinoma in patients with chronic hepatitis B who received regular surveillance
    Chon, Y. E.; Jung, K. S.; Kim, M.‐J. ... Alimentary pharmacology & therapeutics, April 2018, 2018-Apr, 2018-04-00, 20180401, Letnik: 47, Številka: 8
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    Summary Background A proportion of chronic hepatitis B (CHB) patients are diagnosed with advanced hepatocellular carcinoma (HCC) despite regular surveillance. Aims To determine predictors for HCC ...
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  • Understanding internal back... Understanding internal backgrounds in NaI(Tl) crystals toward a 200 kg array for the KIMS-NaI experiment
    Adhikari, P.; Adhikari, G.; Choi, S. ... The European physical journal. C, Particles and fields, 04/2016, Letnik: 76, Številka: 4
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    The Korea Invisible Mass Search (KIMS) collaboration has developed low-background NaI(Tl) crystals that are suitable for the direct detection of WIMP dark matter. Building on experience accumulated ...
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  • Mapping photonic entangleme... Mapping photonic entanglement into and out of a quantum memory
    Deng, H; Laurat, J; Kimble, H. J ... Nature (London), 03/2008, Letnik: 452, Številka: 7183
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    Developments in quantum information science rely critically on entanglement-a fundamental aspect of quantum mechanics that causes parts of a composite system to show correlations stronger than can be ...
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29.
  • Predictors of incisional he... Predictors of incisional hernia in adult liver transplant recipients
    Lee, J. S.; Kim, J. M.; Kim, K. S. ... Hernia : the journal of hernias and abdominal wall surgery, 02/2019, Letnik: 23, Številka: 1
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    Purpose Incisional hernia is a complication following abdominal operation. Patients undergoing liver transplantation have a high risk of developing incisional hernia because of immunosuppression. The ...
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  • Deep Learning–Based Softwar... Deep Learning–Based Software Improves Clinicians’ Detection Sensitivity of Aneurysms on Brain TOF-MRA
    Sohn, B.; Park, K.-Y.; Choi, J. ... American journal of neuroradiology : AJNR, 10/2021, Letnik: 42, Številka: 10
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    BACKGROUND AND PURPOSEThe detection of cerebral aneurysms on MRA is a challenging task. Recent studies have used deep learning-based software for automated detection of aneurysms on MRA and have ...
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