Extract of Scutellaria baicalensis and Lonicerae flos improves growth performance, antioxidant capacity, and intestinal barrier of yellow-feather broiler chickens against Clostridium perfringens.

In this study, we aimed to investigate the effect of Scutellaria baicalensis and Lonicerae Flos (SL) extract on the growth performance and intestinal health of yellow-feather broilers following a Clostridium perfringens challenge. In total, 600 one-day-old yellow-feather broilers were divided into five treatments (6 replicate pens of 20 birds per treatment), including a control (Con) group fed a basal diet and the infected group (iCon) fed a basal diet and infected with Clostridium perfringens, the other 3 groups receiving different doses of SL (150, 300, and 450 mg/kg) and infected with Clostridium perfringens. The total experimental period was 80 d. When the birds were 24-days-old, a subclinical necrotizing enteritis model was induced by orally inoculating the birds with 11,000 oocysts of mixed Eimeria species on d 24, followed by C. perfringens (108 CFU/mL) from d 28 to 30. The birds were evaluated for parameters such as average weight gain (AWG), average daily feed intake (ADFI), mortality, feed conversion ration (FCR), intestinal lesion score, intestinal C. perfringens counts, and villus histomorphometry. Results indicated that C. perfringens infection led to reduced AWG and the levels of tight junction proteins, increased the FCR, ileum E. coli load, and intestinal permeability, causing damage to the intestinal mucosal barrier (P < 0.05). Compared with the infected group, supplementing 300 mg/kg of SL significantly increased AWG at 43 to 80 d, the ratio of villus height to crypt depth in the jejunum and ileum at 35 d, and the activity of superoxide dismutase (SOD) in serum. It also significantly reduced the FCR at 22 to 42 d, intestinal lesion score, and the amount of C. perfringens in the ileum (P < 0.05). Additionally, compared with the infected group, the addition of 300 mg/kg SL significantly increased mRNA levels of claudin-2, claudin-3, mucin-2, and toll-like receptor 2 (TLR-2) in the ileum of infected birds at 35 d of age. In conclusion, supplementation with SL extract could effectively mitigate the negative effects of C. perfringens challenge by improving intestinal barrier function and histomorphology, positively influencing the growth performance of challenged birds.

Effects of Long-Term Coated Sodium Butyrate Supplementation on the Intestinal Health and Colonization of Cecal Salmonella of Laying Hens Infected with Salmonella enteritidis.

Salmonella enterica ser. Enteritidis (S. Enteritidis) is widely found in chickens and eggs, and it can potentially induce human illness. The investigation in this study centers on the impacts of long-term dietary supplementation with coated sodium butyrate (CSB) on intestinal well-being and the colonization of cecum Salmonella in laying hens infected with S. Enteritidis. We segregated a total of 120 Lohmann laying hens aged 51 weeks into four treatment categories: 0 (CON), 300 (CSB1), 500 (CSB2), and 800 (CSB3) mg/kg of CSB, supplemented with CSB from the first day of the experiment. A 24-week observation process was carried out for each laying hen. The S. Enteritidis was orally administered to all chickens on the morning of the first and third days of week 22 of the trial. After the S. Enteritidis challenge, egg production decreased the most in the CON group. Compared to the CON group, the three doses of CSB significantly improved egg production after the S. Enteritidis challenge (PANOVA < 0.05). S. Enteritidis challenge increased plasma DAO activity, but CSB supplementation reduced plasma DAO activity (Plinear < 0.05). The S. Enteritidis challenge disrupted intestinal villi morphology; compared to the CON group, the three dosages of CSB resulted in an increase in villus height (VH) and the ratio of villus height to crypt depth (V/C) in the duodenum, jejunum, and ileum of infected laying hens (Plinear < 0.05), with a significant increase in jejunal villus height (PANOVA < 0.05). A decrease in ileal crypt depth was also observed (Plinear < 0.05). CSB2 and CSB3 markedly increased the content of butyric acid in the cecum (PANOVA < 0.05). Additionally, in contrast to those in the CON group, the propionic acid content in the CSB supplementation group increased (Plinear < 0.05). Compared with those in the CON group, mRNA relative expression of the IL-6 and IL-1ß in jejunum (Plinear < 0.05) and mRNA relative expression of the IL-1ß in ileum (PANOVA < 0.05) were significantly lower, and mRNA relative expression of the IL-10 in ileum (Plinear < 0.05) were significantly higher in the CSB group. In addition, in contrast to the CON group, the CSB supplementation group significantly upregulated mRNA relative expression of the ZO-1 and CLDN1 (PANOVA < 0.05). Additionally, CSB supplementation reduced the number of Salmonella and increased the number of Lactobacilli in the cecum (Plinear < 0.05) and tended to increase the total bacteria count (Plinear = 0.069) and reduce the E. coli count (Plinear = 0.081). In conclusion, long-term dietary supplementation with coated sodium butyrate can alleviate intestinal injury and the colonization of cecum Salmonella in laying hens infected with S. Enteritidis.

Deep High-Resolution Representation Learning for Visual Recognition.

High-resolution representations are essential for position-sensitive vision problems, such as human pose estimation, semantic segmentation, and object detection. Existing state-of-the-art frameworks first encode the input image as a low-resolution representation through a subnetwork that is formed by connecting high-to-low resolution convolutions in series (e.g., ResNet, VGGNet), and then recover the high-resolution representation from the encoded low-resolution representation. Instead, our proposed network, named as High-Resolution Network (HRNet), maintains high-resolution representations through the whole process. There are two key characteristics: (i) Connect the high-to-low resolution convolution streams in parallel and (ii) repeatedly exchange the information across resolutions. The benefit is that the resulting representation is semantically richer and spatially more precise. We show the superiority of the proposed HRNet in a wide range of applications, including human pose estimation, semantic segmentation, and object detection, suggesting that the HRNet is a stronger backbone for computer vision problems. All the codes are available at https://github.com/HRNet.

Effects of vitamin E supplementation on performance, serum biochemical parameters and fatty acid composition of egg yolk in laying hens fed a diet containing ageing corn.

This study investigated whether dietary vitamin E (VE) supplementation could alleviate any detrimental effects of ageing corn in the diet for laying hens on egg performance, egg quality, serum biochemical parameters, cholesterol content and the fatty acid (FA) profile of egg yolks. The experiment consisted of a 2 × 3 factorial design with two corn types (normal corn and ageing corn) and three concentrations of VE (0, 20 and 100 IU/kg). A total of 216 Lohmann laying hens (50-week-old) were randomly allocated into six treatment diets for 12 week. Each treatment had six replicates with six hens. The results showed that ageing corn significantly reduced average daily feed intake (ADFI; p < 0.01) and egg weight (p < 0.05). Dietary VE supplementation had no significant influences on egg production performance (p > 0.05). Egg yolk colour was decreased in ageing corn diets (p < 0.01), while 20 and 100 IU/kg VE significantly improved vitelline membrane strength (p < 0.01) compared with feeding of 0 IU/kg VE. Ageing corn also significantly decreased the content of cholesterol including total cholesterol (TC; p < 0.05), low density lipoprotein cholesterol (LDL-C; p < 0.01) and very low density lipoprotein cholesterol (VLDL-C; p < 0.05) in the serum. Feeding 100 IU/kg VE significantly increased the content of LDL-C (p < 0.01) and VLDL-C (p < 0.05) in the serum. Furthermore, the content of the oleic acid, docosahexaenoic acid and total monounsaturated fatty acid (MUFA) was lower (p < 0.05) and stearic acid and total saturated fatty acid (SFA) was higher (p < 0.05) in egg yolks in ageing corn diets. Ageing corn resulted in reduced feed intake, egg weights and yolk colour, but the effects of VE supplementation were independent of those of age of corn and were unable to counteract the negative effects of feeding ageing corn.

Large-Scale Unsupervised Hashing with Shared Structure Learning.

Hashing methods are effective in generating compact binary signatures for images and videos. This paper addresses an important open issue in the literature, i.e., how to learn compact hash codes by enhancing the complementarity among different hash functions. Most of prior studies solve this problem either by adopting time-consuming sequential learning algorithms or by generating the hash functions which are subject to some deliberately-designed constraints (e.g., enforcing hash functions orthogonal to one another). We analyze the drawbacks of past works and propose a new solution to this problem. Our idea is to decompose the feature space into a subspace shared by all hash functions and its complementary subspace. On one hand, the shared subspace, corresponding to the common structure across different hash functions, conveys most relevant information for the hashing task. Similar to data de-noising, irrelevant information is explicitly suppressed during hash function generation. On the other hand, in case that the complementary subspace also contains useful information for specific hash functions, the final form of our proposed hashing scheme is a compromise between these two kinds of subspaces. To make hash functions not only preserve the local neighborhood structure but also capture the global cluster distribution of the whole data, an objective function incorporating spectral embedding loss, binary quantization loss, and shared subspace contribution is introduced to guide the hash function learning. We propose an efficient alternating optimization method to simultaneously learn both the shared structure and the hash functions. Experimental results on three well-known benchmarks CIFAR-10, NUS-WIDE, and a-TRECVID demonstrate that our approach significantly outperforms state-of-the-art hashing methods.