Yeast culture improved the growth performance, liver function, intestinal barrier and microbiota of juvenile largemouth bass (Micropterus salmoides) fed high-starch diet.

The present study was conducted to investigate the effects of yeast culture on the growth, health and microflora of the juvenile largemouth bass fed high-starch diet. The experiment set three isonitrogenous and isolipidic diets, control (high-starch diet), HSY1 (high-starch diet with 1% yeast culture) and HSY3 (high-starch diet with 3% yeast culture). A feeding trial was conducted in largemouth bass juveniles for 8 weeks. The results indicated fish fed with 3% yeast culture not only could improve specific growth rate (SGR), but also significantly decreased hepatic lipid content, hepatic glycogen content, and hepatopancreas somatic index (HSI) compared with the control group (p<0.05). The total superoxide dismutase (T-SOD) and catalase (CAT) activities of HSY3 group significantly increased while malondialdehyde (MDA) content significantly reduced in liver compared with the control group (p<0.05). Meanwhile, the mRNA expression levels of hepatic Sod and Cat were up-regulated (p<0.05), and liver metabolism showed 111 metabolites were significantly changed in HSY3 group, liver lipid metabolism pathway remarkably changed. Besides, the intestinal anti-inflammatory cytokines were significantly up-regulated, and the pro-inflammatory cytokines were significantly down-regulated as the inclusion of yeast culture (p<0.05). Notably, HSY3 group diet up-regulated the expression of Zo-1, Claudin and Occludin in intestine compared with the other groups (p<0.05). Serum d-lactate (D-lac), diamine oxidase (DAO) and lipopolysaccharide (LPS) decreased significantly with the inclusion of yeast culture (p<0.05). Furthermore, the abundance of probiotics (such as Lactobacillus, Bacillus and Bifidobacterium) increased significantly, and the abundance of intestinal potential pathogenic bacteria (Plesiomonas) decreased in HSY3 group (p<0.05). The phenotypic analysis showed that gram-negative bacteria significantly decreased while gram-positive bacteria increased in HSY3 group (p<0.05). All in all, this study revealed that supplementation of 3% yeast culture can improve the growth performance and the health of juvenile largemouth bass, and has the potential to be used as an effective synbiotics for M. salmoides.

Effects of supplemental dietary bile acids on growth, liver function and immunity of juvenile largemouth bass（Micropterus salmoides）fed high-starch diet.

The present study was conducted to investigate the effects of bile acids (BAs) on the growth, liver function and immunity of the largemouth bass fed high-starch diet. The experiment set three isonitrogenous and isoenergetic semi-purified diets, LS: low-starch diet (5%), HS: high-starch diet (19%) and SB: high-starch diet with BAs (350 mg/kg diet). An 8-week feeding trial was conducted in largemouth bass of initial weight 23.69 ± 0.13 g. The results indicated that the weight gain (WG) and protein efficiency ratio (PER) of fish fed LS and SB were significantly higher than HS treatment. The superoxide dismutase (SOD) and catalase (CAT) activities of SB group were significantly increased, while malondialdehyde (MDA) content significantly reduced in liver compared with HS group. The activities of alanine aminotransferase (ALT), aspartate transaminase (AST), alkaline phosphatase (ALP) and glucose contents in plasma of SB group were significantly lower than HS treatment, whereas the content of triglyceride (TG) and total cholesterol (TC) in plasma were significantly higher than HS treatment. Additionally, the plasma immunoglobulin count, lysozyme activity and the blood leukocyte count (WBC) in SB group were significantly higher than HS group. The results of paraffin section of liver showed the histopathological alterations were significantly reduced in the SB group compared to HS group. All in all, this study revealed that bile acids supplement could significantly improve growth performance, enhance liver function and immune ability, and alleviate stress responses of M. salmoides fed high-starch diet.

Recent Advance of Intelligent Packaging Aided by Artificial Intelligence for Monitoring Food Freshness.

Food safety is a pressing concern for human society, as it directly impacts people's lives, while food freshness serves as one of the most crucial indicators in ensuring food safety. There exist diverse techniques for monitoring food freshness, among which intelligent packaging based on artificial intelligence technology boasts the advantages of low cost, high efficiency, fast speed and wide applicability; however, it is currently underutilized. By analyzing the current research status of intelligent packaging both domestically and internationally, this paper provides a clear classification of intelligent packaging technology. Additionally, it outlines the advantages and disadvantages of using intelligent packaging technology for food freshness detection methods, while summarizing the latest research progress in applying artificial intelligence-based technologies to food freshness detection through intelligent packaging. Finally, the author points out the limitations of the current research, and anticipates future developments in artificial intelligence technology for assisting freshness detection in intelligent packaging. This will provide valuable insights for the future development of intelligent packaging in the field of food freshness detection.

Novel colorimetric films based on polyvinyl alcohol/sodium carboxymethyl cellulose doped with anthocyanins and betacyanins to monitor pork freshness.

A novel colorimetric film was developed from polyvinyl alcohol/sodium carboxymethyl cellulose (PVA/CMC-Na, CPA) incorporated with anthocyanins (AHO) or betacyanins (BTA) or AHO and BTA mixtures (in the mass ratios of 2:2, 3:1, 1:3) for intelligent packaging. Fourier transform infrared (FTIR) and scanning electron microscope (SEM) illustrated that AHO/BTA were immobilized into CPA network and improved compatibility of PVA and CMC-Na. The incorporation of AHO/BTA increased the tensile strength (TS), elongation at break (EAB), thickness and water solubility (WS) of the sample but decreased the crystallinity and swelling index (SI) of the sample. Furthermore, the colorimetric films presented antioxidant activity besides antibacterial activity against Escherichia coli and Staphylococcus aureus. The colorimetric film incorporated with AHO and BTA at a mass ratio of 3:1 indicated different colors to represent the freshness of pork. The novel colorimetric film possesses great potential in intelligent packaging for monitoring the real-time freshness of pork products.

Preparation of pH-Responsive Films from Polyvinyl Alcohol/Agar Containing Cochineal for Monitoring the Freshness of Pork.

This study reported the production of pH-responsive films based on 8 wt% polyvinyl alcohol solution/0.2 wt% agar solution incorporated with cochineal-loaded starch particles (CSN) (2, 4, 6 and 8 wt% on agar basis) by a casting process. Results revealed that CSN presented obvious color changes over the pH range of 2-12. FTIR, XRD spectra and SEM micrographs presented that the incorporation of CSN formed new hydrogen bonds with a matrix and a tighter network structure. A certain improvement was observed in the color stability, swelling index and functional properties (antimicrobial and antioxidant activities) but water solubility, water vapor permeability and water contact angle of the pH-responsive films were decreased by the addition of CSN. The release of cochineal was a rate-limiting step following the Korsmeyer-Peppas model. The agar/polyvinyl alcohol film containing 6% CSN (PVA/GG-6) exhibited the best sensitivity for ammonia detection and its limit of detection was 35.4 ppm (part per million) for ammonia. The application trials showed that the PVA/GG-6 film presented different color changes for pork freshness. Hence, these pH-responsive films can be used as potential packaging materials for tracking the freshness of protein-rich fresh food in a non-destructive way.

Application of Personal Information Privacy Protection Based on Machine Learning Algorithm.

Based on a machine learning algorithm, this paper deeply explores the privacy protection of personal information. In this paper, the definition of the machine learning algorithm is put forward, the design idea of privacy protection in joint machine learning platform is studied, and the architecture model and model parameter updating strategy of joint machine learning under privacy protection are designed. To protect the privacy of personal information, this paper also proposes a data homomorphic verification mechanism to prevent the global parameters from being tampered with by malicious cloud servers. In order to verify the performance of the models constructed in this paper, the comparative experiments of different models are carried out. The experimental results show that this algorithm has a fast convergence speed, and the average error rate decreases by 4.17% compared with the traditional algorithm. Moreover, the accuracy of this algorithm reaches 95.37%, which is about 8.76% higher than the previous algorithm. This model is applied to the field of personal information privacy protection, which can provide a safe and reliable environment for personal information privacy and effectively protect the privacy of data owners. And, means and reference value is provided for the development direction of privacy protection.

Recent Advances in pH-Responsive Freshness Indicators Using Natural Food Colorants to Monitor Food Freshness.

Recently, due to the enhancement in consumer awareness of food safety, considerable attention has been paid to intelligent packaging that displays the quality status of food through color changes. Natural food colorants show useful functionalities (antibacterial and antioxidant activities) and obvious color changes due to their structural changes in different acid and alkali environments, which could be applied to detect these acid and alkali environments, especially in the preparation of intelligent packaging. This review introduces the latest research on the progress of pH-responsive freshness indicators based on natural food colorants and biodegradable polymers for monitoring packaged food quality. Additionally, the current methods of detecting food freshness, the preparation methods for pH-responsive freshness indicators, and their applications for detecting the freshness of perishable food are highlighted. Subsequently, this review addresses the challenges and prospects of pH-responsive freshness indicators in food packaging, to assist in promoting their commercial application.

RMTF-Net: Residual Mix Transformer Fusion Net for 2D Brain Tumor Segmentation.

Due to the complexity of medical imaging techniques and the high heterogeneity of glioma surfaces, image segmentation of human gliomas is one of the most challenging tasks in medical image analysis. Current methods based on convolutional neural networks concentrate on feature extraction while ignoring the correlation between local and global. In this paper, we propose a residual mix transformer fusion net, namely RMTF-Net, for brain tumor segmentation. In the feature encoder, a residual mix transformer encoder including a mix transformer and a residual convolutional neural network (RCNN) is proposed. The mix transformer gives an overlapping patch embedding mechanism to cope with the loss of patch boundary information. Moreover, a parallel fusion strategy based on RCNN is utilized to obtain local-global balanced information. In the feature decoder, a global feature integration (GFI) module is applied, which can enrich the context with the global attention feature. Extensive experiments on brain tumor segmentation from LGG, BraTS2019 and BraTS2020 demonstrated that our proposed RMTF-Net is superior to existing state-of-art methods in subjective visual performance and objective evaluation.