Fresh pork is a meat that many people choose to eat in daily lives, and it is becoming more important to devise a method for ensuring the quality and safety of fresh pork. Combined with the meat quality of the cold chain and the environmental information collection program, this study presents a QR code based tracing method for a quality tracing system. This method includes a correction recognition test for the final design of the QR code. The results show that QR code can store large amounts of traceability information, with strong error correction capability, and can provide a great advantage in scanning recognition. In the process of consumption, consumers can easily obtain fresh pork quality information by scanning the QR code with a mobile phone, rather than having to choose a piece of meat to purchase based only on a visual observation of the meat. Practical applications In this study, the design of the temperature acquisition scheme was verified in SMEs (small and medium enterprises), the results show that the data transmission is stable. The generated QR codes were tested in some supermarkets, have strong error correction capability, and can meet the retroactive requirements. According to this research, when the damage to the traceability barcode is beyond the range of 30% before the barcode enters circulation, the barcode needs to be reprinted.

B cells can be polarized to express various cytokines. The roles of IFNγ and IL-10, expressed respectively by B effector 1 (Be1) and Bregs, have been established in pathogen clearance, tumor growth, autoimmunity and allograft rejection. However, the in vivo role of B cell IL-4, produced by Be2 cells, remains to be established. We developed B-IL-4/13 iKO mice carrying a tamoxifen-inducible B cell-specific deletion of IL-4 and IL-13. After alloimmunization, B-IL-4/13 iKO mice exhibited decreased IL-4+ Th2 cells and IL-10+ Bregs without impact on Th1, Tregs, or CD8 T cell responses. B-IL-4/13 iKO mice rejected islet allografts more rapidly, even when treated with tolerogenic anti-TIM-1 mAb. In ovalbumin-induced allergic airway disease (AAD), B-IL-4/13 iKO mice had reduced inflammatory cells in BAL, and preserved lung histology with markedly decreased infiltration by IL-4+ and IL-5+ CD4+ T cells. Hence, B cell IL-4 is a major driver of Th2 responses in vivo which promotes allograft survival, and conversely, worsens AAD.

No abstract

<p>Illumination change, image blur, and fast motion dramatically decrease the performance of visual-inertial navigation systems (VINS). This paper presents a new illumination-robust visual-inertial odometry (IR-VIO) based on adaptive weighting algorithm with two-layer confidence maximization. First, to prevent the VIO performance degradation caused by poor image quality in complex scenes and ignoring the confidence differences of feature points, we develop a novel adaptive weighting algorithm on the multi-sensor layer and visual feature layer to better fuse multi-sensor information and maximize the overall confidence of VIO. Second, to solve the problems of image feature tracking difficulty and excessive image noise in illumination-changing scenes, an image enhancement algorithm is introduced to enhance consecutive images to the same brightness level, while a block noise removal algorithm with constraint protection mechanism is proposed to dynamically remove feature points in noise areas. Finally, experimental results on the public dataset and real-world environments demonstrate that IR-VIO has superior performance in terms of accuracy and robustness compared with the state-of-the-art methods. Supplementary video is available at https://youtu.be/163Sk7twEMY.</p>