Rapid appearance quality of rice based on machine vision and convolutional neural network research on automatic detection system

IntroductionIn the process of rice production and storage, there are many defects in the traditional detection methods of rice appearance quality, but using modern high-precision instruments to detect the appearance quality of rice has gradually developed into a new research trend at home and abroad with the development of agricultural artificial intelligence.MethodsIn this study, we independently designed a fast automatic rice appearance quality detection system based on machine vision technology by introducing convolutional neural network and image processing technology. In this study, NIR and RGB images were generated into five-channel image data by superposition function, and image are preprocessed by combining the Watershed algorithm with the Otus adaptive threshold function. Different grains in the samples were labeled and put in the convolutional neural network for training. The rice grains were classified and the phenotype data were analyzed by selecting the optimal training model to realize the detection of rice appearance quality.Results and discussionThe experimental results showed that the resolution of the system could reach 92.3%. In the detection process, the system designed with this method not only reduces the subjectivity problems caused by different detection environments, visual fatigue caused large sample size and the inspector’s personal factors, but also significantly improves the detection time and accuracy, which further enhances the detection efficiency of rice appearance quality, and has positive significance for the development of the rice industry

Experimental Study on the Down-Speed of Conductor Pipe Influenced by Jetting Displacement in Deepwater Drilling

Based on the theory of jet drilling technology and displacement optimization, a set of experimental equipment about jet drilling is devised. The laws of conductor pipe down-speed influenced by pump displacement were studied by laboratory experiments. According to the experimental results and analysis, the following conclusions can be drawn. The down-speed of conductor pipe increases with the increasing of displacement, also the drilling speed is boosted. But the unstableness of borehole wall is augmented as well. And this will result in the increasing of waiting time for borehole formation. In the process of conductor pipe jetting, the conductor pipe down-speed and the waiting time of soil returning to a certain bearing capacity should be considered together in order to shorten the entirety drilling time. The research can provide certain references for expensive offshore operation and have important significance to improve the economic benefits of deepwater drilling

Yeast peptides alleviate lipopolysaccharide-induced intestinal barrier damage in rabbits involving Toll-like receptor signaling pathway modulation and gut microbiota regulation

IntroductionYeast peptides have garnered attention as valuable nutritional modifiers due to their potential health benefits. However, the precise mechanisms underlying their effects remain elusive. This study aims to explore the potential of yeast peptides, when added to diets, to mitigate lipopolysaccharide (LPS)-induced intestinal damage and microbiota alterations in rabbits.MethodsA total of 160 35-day-old Hyla line rabbits (0.96 ± 0.06 kg) were randomly assigned to 4 groups. These groups constituted a 2 × 2 factorial arrangement: basal diet (CON), 100 mg/kg yeast peptide diet (YP), LPS challenge + basal diet (LPS), LPS challenge +100 mg/kg yeast peptide diet (L-YP). The experiment spanned 35 days, encompassing a 7-day pre-feeding period and a 28-day formal trial.ResultsThe results indicated that yeast peptides mitigated the intestinal barrier damage induced by LPS, as evidenced by a significant reduction in serum Diamine oxidase and D-lactic acid levels in rabbits in the L-YP group compared to the LPS group (p < 0.05). Furthermore, in the jejunum, the L-YP group exhibited a significantly higher villus height compared to the LPS group (p < 0.05). In comparison to the LPS group, the L-YP rabbits significantly upregulated the expression of Claudin-1, Occludin-1 and ZO-1 in the jejunum (p < 0.05). Compared with the CON group, the YP group significantly reduced the levels of rabbit jejunal inflammatory cytokines (TNF-α, IL-1β and IL-6) and decreased the relative mRNA expression of jejunal signaling pathway-associated inflammatory factors such as TLR4, MyD88, NF-κB and IL-1β (p < 0.05). Additionally, notable changes in the hindgut also included the concentration of short-chain fatty acids (SCFA) of the YP group was significantly higher than that of the CON group (p < 0.05). 16S RNA sequencing revealed a substantial impact of yeast peptides on the composition of the cecal microbiota. Correlation analyses indicated potential associations of specific gut microbiota with jejunal inflammatory factors, tight junction proteins, and SCFA.ConclusionIn conclusion, yeast peptides have shown promise in mitigating LPS-induced intestinal barrier damage in rabbits through their anti-inflammatory effects, modulation of the gut microbiota, and maintenance of intestinal tight junctions

Putrescine Promotes Betulin Accumulation in Suspension Cell Cultures of Betula platyphylla by Regulating NO and NH4+ Production

Putrescine (Put) can enhance secondary metabolite production, but its intrinsic regulatory mechanism remains unclear. In this study, Put treatment promoted betulin production and gene expression of lupeol synthase (LUS), one of betulin synthetic enzymes. The maximum betulin content and gene expression level of LUS was 4.25 mg·g−1 DW and 8.25 at 12 h after 1 mmol·L−1 Put treatment, approximately two- and four-times that in the control, respectively. Put treatment increased the content of nitric oxide (NO) and its biosynthetic enzyme activity of nitrate reductase (NR) and NO synthase (NOS). Pretreatment of the birch suspension cells with NO-specific scavenger 2-(4-carboxyphenyl)-4,4,5,5-tetramethylimidazoline- 1-oxyl-3-oxide (cPTIO), NR inhibitor sodium azide (NaN3), and NOS inhibitor NG-nitro-L-Arg methyl ester (L-NAME) decreased Put-triggered NO generation and blocked Put-induced betulin production. Put treatment improved the content of NH4+ and its assimilation enzyme activity of glutamate synthase and glutamate dehydrogenase. NH4+ supplementation also promoted NO and betulin production. Thus, the above data indicated that Put-induced NO was essential for betulin production. NO derived from NR, NOS, and NH4+ mediated betulin production in birch suspension cell cultures under Put treatment

Thickening Supercritical CO2 with π-Stacked Co-Polymers: Molecular Insights into the Role of Intermolecular Interaction

Vinyl Benzoate/Heptadecafluorodecyl acrylate (VBe/HFDA) co-polymers were synthesized and characterized as thickening agents for supercritical carbon dioxide (SC-CO2). The solubility and thickening capability of the co-polymer samples in SC-CO2 were evaluated by measuring cloud point pressure and relative viscosity. The molecular dynamics (MD) simulation for all atoms was employed to simulate the microscopic molecular behavior and the intermolecular interaction of co-polymer–CO2 systems. We found that the introduction of VBe group decreased the polymer–CO2 interaction and increased the polymer–polymer interaction, leading to a reduction in solubility of the co-polymers in SC-CO2. However, the co-polymer could generate more effective inter-chain interaction and generate more viscosity enhancement compared to the Poly(Heptadecafluorodecyl) (PHFDA) homopolymer due to the driving force provided by π-π stacking of the VBe groups. The optimum molar ratio value for VBe in co-polymers for the viscosity enhancement of SC-CO2 was found to be 0.33 in this work. The P(HFDA0.67-co-VBe0.33) was able to enhance the viscosity of SC-CO2 by 438 times at 5 wt. %. Less VBe content would result in a lack of intermolecular interaction, although excessive VBe content would generate more intramolecular π-π stacking and less intermolecular π-π stacking. Both conditions reduce the thickening capability of the P(HFDA-co-VBe) co-polymer. This work presented the relationship between structure and performance of the co-polymers in SC-CO2 by combining experiment and molecular simulations

Dietary effects of enzymolytic soybean meal inclusion on antioxidant capacity, intestinal morphology and caecal microbiota of Rex rabbits

The aim of this study was to evaluate the effect of enzymolytic soybean meal (ESBM) on antioxidant capacity, intestinal morphology and caecal microbiota in Rex rabbits. One-hundred-twenty 40-day-old healthy Rex rabbits were randomly divided into four groups with thirty replicates in each group and one rabbit per replicate. The control group was fed the basal diet and the ESBM treated groups (T1, T2 and T3) were fed 0.5%, 1% and 1.5% ESBM instead of the equivalent amount of soybean meal (SBM) in the basal diet, respectively. The study lasted 61 days, including a pre-feeding period of 5 days and a formal trial period of 56 days. Compared with the control group, the activity of superoxide dismutase and glutathione peroxidase in the liver, as well as total antioxidant capacity were significantly increased in the T3 group (p  0.05). Compared with the control group, the relative abundance of Ruminococcaceae_UCG-013 was increased significantly in both T2 and T3 groups (p < 0.05), and the relative abundance of Ruminococcaceae_unclassified was decreased significantly in all treatment groups (p < 0.05). In conclusion, the replacement of equivalent amounts of SBM with ESBM in the diet of Rex rabbits can increase the antioxidant capacity of the liver and improve the caecal microbiota, and the optimal replacement level was 1.5%.HIGHLIGHTS Enzymolytic soybean meal (ESBM) increased the liver antioxidant capacity of Rex rabbits. ESBM improved the caecal microbiota of Rex rabbits. Effects of ESBM on the intestinal morphology and pH of Rex rabbits were evaluated