Publications by authors named "Z M Mu"

Article Synopsis
  • The study investigates CP symmetry violation in the decay of D^{+} particles into K^{-}K^{+}π^{+} using data from proton-proton collisions at a high energy of 13 TeV.
  • A unique model-independent method was employed to analyze the phase-space distributions of D^{+} and D^{-} particles, correcting for any instrumental biases using D_{s}^{+} decays.
  • The findings indicate no significant evidence of CP violation, with a p value of 8.1%, and measure specific CP asymmetry observables, marking this study as the most sensitive search of its kind in multibody decays.
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Article Synopsis
  • Long-distance pressurized pipeline water transmission is at risk of water hammer hazards, which can cause leaks or bursts due to excessive pressure.
  • Modeling calculations using KY PIPE software, paired with real project data, help analyze and address the consequences of pump water hammer stoppages.
  • Installing two-phase check valves, air valves, and water hammer relief valves proves effective in managing pressure and reducing surge tank volume, enhancing pipeline safety for similar projects.
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This work elucidated the digestion behavior of low-oil phase Pickering emulsion gel (LOPPEG) stabilized by whey protein isolate (WPI) -γ-Oryzanol (γO) aggregated particles and interfacial adsorption properties of its simulated digestion products. Initially, following simulated digestion, WPI-γO LOPPEG exhibited lower free fatty acid release and protein digestibility compared to WPI LOPPEG. WPI-γO LOPPEG maintained lower interfacial tension and higher interfacial thickness than WPI LOPPEG.

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Lithofacies classification and identification are of great significance in the exploration and evaluation of tight sandstone reservoirs. Existing methods of lithofacies identification in tight sandstone reservoirs face issues such as lengthy manual classification, strong subjectivity of identification, and insufficient sample datasets, which make it challenging to analyze the lithofacies characteristics of these reservoirs during oil and gas exploration. In this paper, the Fuyu oil formation in the Songliao Basin is selected as the target area, and an intelligent method for recognizing the lithophysics reservoirs in tight sandstone based on hybrid multilayer perceptron (MLP) and multivariate time series (MTS-Mixers) is proposed.

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Introduction: () is a small transcription factor family known for its role in various developmental processes in plants, particularly in binding GA motifs and regulating flower and seed development. However, research on the functional characteristics and target genes of in coconut () is limited.

Methods: In this study, we systematically characterized the gene structure, conserved protein domains, gene expansion, and target genes of in the coconut genome.

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