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Abstract In this article, an effective approach is proposed to recognise the 2D+3D facial expression automatically based on orthogonal Tucker decomposition using factor priors (OTDFPFER). As a powerful technique, Tucker decomposition on the basis of the low rank approximation is often used to extract the useful information from the constructed 4D tensor composed of 3D face scans and 2D images aiming to maintain correlations and their structural information. Finding a set of projected factor matrices is our ultimate goal. During the 4D tensor modelling process, high similarities among samples will emerge because of the information missed partially. Based on the tensor orthogonal Tucker decomposition, the involved core tensor with the structured sparsity, and a graph regularisation term via the graph Laplacian matrix together with the fourth factor matrix are employed for better characterisation of the generated similarities and for keeping the consistency of low dimensional space. To recover the missing information, a framework for tensor completion (TC) will be embedded naturally. Finally, an alternating direction method coupled with the majorisation‐minimisation scheme is designed to solve the resulting tensor completion problem. The numerical experiments are conducted on the Bosphorus and the BU‐3DFE databases with promising recognition accuracies.

To obtain an alternative source for the production of gentiopicroside, here genomic DNA segments of the medicinal plant Gentiana macrophylla were randomly transferred into Hansenula polymorpha by 25 KeV nitrogen ions (N+) at a dose of 2.5 × 1016 ions/cm2 under vacuum pressure of 1 × 10−3 Pa. To screen for potential gentiopicroside-producing recombinant yeast strains, geraniol 10-hydroxylase (G10H) and secologanin synthase (SLS) involved in the gentiopicroside biosynthesis pathway were used as molecular markers. Based on the conserved protein sequences of G10H and SLS, degenerate primers were designed and used for colony polymerase chain reaction (PCR). PCR-positive results for both the G10H and SLS genes were obtained in 79 out of 653 transformants by low-energy ion beam-mediated transformation. These 79 potential gentiopicroside-producing strains were further analysed by Fehling's test, thin-layer chromatography, high performance liquid chromatography and high performance liquid chromatography-mass spectrometry. The results showed that the retention time and ion peaks of the sample from one stable recombinant strain designated as DL67 were consistent with those of the gentiopicroside standard. The corresponding gentiopicroside yield was 8.41 mg/g dry cell weight after strain DL67 was cultured for 96 h. This could offer a new starting point for the construction of recombinant yeasts for production of medicinal plant compounds.