wqiu@gordonlifescience.org, xxiao@gordonlifescience.org, kcchou@gordonlifescience.orgSupplementary information: Supplementary data are available at Bioinformatics online.

RGB multi channel representation is proposed for images on quantum computers (MCQI) that captures information about colors (RGB channels) and their corresponding positions in an image in a normalized quantum state. The proposed representation makes it possible to store the RGB information about an image simultaneously by using 2n+3 qubits for encoding 2n× 2npixel images, whereas pixel-wise processing is necessary in many other quantum image representations, e.g., qubit lattice, grid qubit, and quantum lattice. Simulation of storage and retrieval of MCQI images using human facial images demonstrated that 15 qubits are required for encoding 64 × 64 colored images, and encoded information is retrieved by measurement. Perspectives of designing quantum image operators are also discussed based onMCQI representation, e.g., channel of interest, channel swapping, and restrict version of color transformation.

Recently, scientific theories on career satisfaction (CS) have been promoted worldwide. Research on the subject has become more and more popular, especially during the COVID-19 pandemic. This study adds to the existing literature by investigating the impact of organizational support on career satisfaction through the mediation role of job crafting and work engagement among Chinese teachers. A diverse sample of teachers (n = 3147) was drawn from various schools in Zhejiang province (P.R. China), from June to September 2021. SPSS 26 software with PROCESS macro and JASP was used to analyze the data. The findings demonstrate that perceived organizational support (POS), job crafting (JC), and work engagement (WE) have a significant and positive relation with teachers’ career satisfaction. POS was serially associated with JC (b = 0.34, p = 0.001), CS (b = 0.40, p = 0.001), and WE (b = 0.49, p0.001). The residual direct pathways for JC → CS (b = 0.55, p = 0.001, 95% CI = [0.51, 0.60]) and for WE → CS (b = 0.47, p = 0.001, 95% CI = [0.44, 0.50]) were significant. Sequentially, JC and WE mediated the relation between POS and CS. The multiple mediation model supported our general hypothesis that JC and WE mediate the relationship between POS and CS.

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The correlation between age and empathy is not clear, with prior findings yielding mixed and inconsistent results. Here, we distinguished between two aspects of empathy and respectively investigated the effects of age on the affective and cognitive facets of empathy using a self-report measure (interpersonal reactivity index, IRI) and performance-based tasks (viewing films). The results showed that older adults manifested age-related deficits in both trait and state cognitive empathy, with the latter being positively associated with memory. Otherwise, the overall affective empathy increased in the elderly, but the age-related differences in affective empathy may be qualified by the valence of the film clips. Specifically, older participants showed more empathic concern (EC) and less personal distress (PD) to other people's emotions than the younger participants for the distress film. Interestingly, for the amusing film, older participants demonstrated more EC and PD. Overall, the two aspects of empathy have different development trajectories.

Protein hydroxylation is a posttranslational modification (PTM), in which a CH group in Pro (P) or Lys (K) residue has been converted into a COH group, or a hydroxyl group (−OH) is converted into an organic compound. Closely associated with cellular signaling activities, this type of PTM is also involved in some major diseases, such as stomach cancer and lung cancer. Therefore, from the angles of both basic research and drug development, we are facing a challenging problem: for an uncharacterized protein sequence containing many residues of P or K, which ones can be hydroxylated, and which ones cannot? With the explosive growth of protein sequences in the post-genomic age, the problem has become even more urgent. To address such a problem, we have developed a predictor called iHyd-PseCp by incorporating the sequence-coupled information into the general pseudo amino acid composition (PseAAC) and introducing the “Random Forest” algorithm to operate the calculation. Rigorous jackknife tests indicated that the new predictor remarkably outperformed the existing state-of-the-art prediction method for the same purpose. For the convenience of most experimental scientists, a user-friendly web-server for iHyd-PseCp has been established at http://www.jci-bioinfo.cn/iHyd-PseCp, by which users can easily obtain their desired results without the need to go through the complicated mathematical equations involved.

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Protein phosphorylation plays a critical role in human body by altering the structural conformation of a protein, causing it to become activated/deactivated, or functional modification. Given an uncharacterized protein sequence, can we predict whether it may be phosphorylated or may not? This is no doubt a very meaningful problem for both basic research and drug development. Unfortunately, to our best knowledge, so far no high throughput bioinformatics tool whatsoever has been developed to address such a very basic but important problem due to its extremely complexity and lacking sufficient training data. Here we proposed a predictor called iPhos-PseEvo by (1) incorporating the protein sequence evolutionary information into the general pseudo amino acid composition (PseAAC) via the grey system theory, (2) balancing out the skewed training datasets by the asymmetric bootstrap approach, and (3) constructing an ensemble predictor by fusing an array of individual random forest classifiers thru a voting system. Rigorous jackknife tests have indicated that very promising success rates have been achieved by iPhos-PseEvo even for such a difficult problem. A user-friendly web-server for iPhos-PseEvo has been established at http://www.jci-bioinfo.cn/iPhos-PseEvo, by which users can easily obtain their desired results without the need to go through the complicated mathematical equations involved. It has not escaped our notice that the formulation and approach presented here can be used to analyze many other problems in protein science as well.