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Abstract Schizophrenic patients’ brain tumor magnetic resonance imaging (MRI) images are important references for doctors to diagnose and treat schizophrenia. However, automatic segmentation of these images is a professional and tedious task. Existing methods suffer from problems such as large model parameters, long computation time, and inadequate image processing. To achieve more accurate segmentation of brain tumors, we propose brain tumor MRI images for automatic segmentation using self-supervised contrastive learning in schizophrenia patients (BTCSSSP). First, a denoising algorithm based on progressive principal component analysis approximation and adaptive clustering is designed to process the noisy MRI images. Second, a brightness-aware image enhancement algorithm is developed to address the problems of non-uniformity, unclear boundaries, and poor spatial resolution of the MRI images. Finally, a cross-scale U-Net network with selective feature fusion attention module is designed based on self-supervised contrastive learning to achieve automatic segmentation of brain tumor MRI images. The results show that the BTCSSSP method yields higher Recall and Precision than existing methods. The maximum recall is 95%, and the image segmentation precision is 95%, thus indicating good practical applicability.

The interferon-induced proteins with tetratricopeptide repeats (IFITs) protein family mediates antiviral effects by inhibiting translation initiation, cell proliferation, and migration in the interferon (IFN) dependent innate immune system. Several members of this family, including IFIT1, IFIT2, IFIT3 and IFIT5, have been heavily studied in mammals. Avian species contain only one family member, IFIT5, and little is known about the role of this protein in birds. In this study, duck IFIT5 (duIFIT5) full-length mRNA was cloned by reverse transcription polymerase chain reaction (RT-PCR) and rapid amplification of the cDNA ends (RACE). Based on the sequence obtained, we performed a series of bioinformatics analyses, and found that duIFIT5 was most similar to homologs in other avian species. Also, duIFIT5 contained eight conserved TPR motifs and two conserved multi-domains (TPR_11 and TPR_12). Finally, we used duck hepatitis virus type 1 (DHV-1) and polyriboinosinicpolyribocytidylic acid (poly (I:C)) as a pathogen or a pathogen-associated molecular pattern induction to infect three-day-old domestic ducklings. The liver and spleen were collected to detect the change in duIFIT5 transcript level upon infection by quantitative real-time PCR (qRT-PCR). DuIFIT5 expression rapidly increased after DHV-1 infection and maintained a high level, while the transcripts of duIFIT5 peaked at 8h after poly (I:C) infection and then returned to normal. Taken together, these results provide a greater understanding of avian IFIT5.

This study investigated the effects of ultra-filtered polysaccharides from Berberis dasystachya Maxim. (UBDP) on the gut microbiota and glucose metabolism in high-fat diet/streptozotocin -induced diabetic rats, and clarified the possible action mechanisms of UBDP in the treatment of type 2 diabetes mellitus (T2DM). The results showed that UBDP administration for 4 weeks significantly ameliorated glucose tolerance, improved organ function, reduced fasting blood glucose and HbA1c levels, decreased the glycosylated hemoglobin index, improved insulin sensitivity of the pancreas, and reduced colon morphogen and oxidative stress in the diabetic rats (P