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Abstract This experiment was conducted to investigate the effects of JUNCAO Ganoderma lucidum polysaccharide peptide (JCGLPP) on slaughter performance and intestinal health of Minxinan black rabbits, which aimed to provide the basis for the application of JCGLPP in meat rabbits. One hundred male weaned Minxinan black rabbits of (33 ± 2) d [(initial body mass (655.65 ± 25.90) g] were randomly divided into four groups with five replicates per group and five rabbits per replicate. The diets were supplemented with 0 (control group), 50 (group I), 100 (group II) and 150 mg·kg−1 (group III) of JCGLPP, respectively. This experiment lasted for 56 days. The results are shown below: (1) The live weight before slaughter of groups I and III was significantly higher than that of control group (p < 0.05); The full net bore weight of group III was significantly higher than that of control group (p < 0.05). (2) pH value of group I was significantly higher than that of control group (p < 0.05); NH3–N content in experimental groups were significantly higher than that in control group(p < 0.05) while NH3-N content in group I was significantly higher than that in groups III and II (p < 0.05); The content of butyric acid in group II was significantly lower than that in control group (p < 0.05); There were no significant differences in acetic acid, isovaleric acid, isobutyric acid and propionic acid in experimental groups compared with control group (p > 0.05). (3) The Occludin content in duodenum, jejunum and ileum of groups I and II was significantly higher than that of control group (p < 0.05). (4) At the phylum level, Firmicutes and Bacteroidetes were the dominant phylum in each group. At the genus level, norank_f__norank_o__Clostridia_UCG-014 in group II were significantly higher than those in control group (p < 0.05). In conclusion, although dietary JCGLPP supplementation could not improve slaughter performance of Minxinan black rabbits, it could improve cecal fermentation parameters and intestinal flora structure and composition of Minxinan black rabbits to a certain extent. Our results revealed that 100 mg·kg−1 might be the optimal concentration obtained in dietary JCGLPP supplementation, which provided ideas and feasibility for drug combination. [ABSTRACT FROM AUTHOR]

Poultry-emitted air pollutants, including microbial aerosols and particulate matter, have raised concerns due to their potential negative effects on human health and the environment. High concentrations of microbial aerosols can also significantly affect duck production performance, leading to immunosuppression and increased disease susceptibility. We determined the concentrations, distributions, and biological components of the microbial aerosols and particulate matter in a duck house environment. The concentration ranges of the bacteria, fungi, Gram-negative bacteria, Escherichia coli , and endotoxin in the duck houses were 3.3 to 5.2 × 104 CFU/m3, 3.8 to 11.9 × 103 CFU/m3, 2.1 to 3.6 × 103 CFU/m3, 1.3 to 2.7 × 102 CFU/m3, and 0.65 to 2.2 × 103 EU/m3, respectively. We also found the endotoxin levels were higher than the standard that can cause pneumonia (2,000 EU/m3). The concentration ranges of the PM2.5 and PM10 samples were 1.1 to 1.6 × 102 μg/m3 and 1.2 to 1.9 × 102 μg/m3, respectively. At the phylum level, the top 5 bacteria identified in the PM2.5 fraction were Actinobacteria, Firmicutes, Proteobacteria, Bacteroidetes, and Fusobacteria, with Actinobacteria (50.55%) as the most abundant. At the genus level, 293 bacterial groups were identified. Actinobacteria (39.01%) was the most abundant phylum, followed by Firmicute s (5.44%) and Proteobacteria (4.56%). The bacterial distributions that differed between the PM2.5 and PM10 samples were Lactobacillales, Bacilli, Firmicutes, and Bacteroidetes; the fungi that differed were Microbotryomycetes, Sporidiobolales, Agaricomycetes, and Polyporates. Microbial allergens and pathogens were also identified. Corynebacterium had a relative abundance of more than 30% in the PM2.5 and PM10 distributions. Aspergillus was the main fungal allergen and opportunistic pathogen, with a relative abundance of 10%. In conclusion, our research supports that the microbial composition in the duck house environment poses a potential threat to the health of both the ducks and the duck house workers. [ABSTRACT FROM AUTHOR]

There are some irrelevant or low correlation features in physical education teaching pattern recognition, resulting in low recognition accuracy. A three-dimensional integrated process physical education teaching pattern recognition method based on big data is designed. The physical education teaching data are cleaned, integrated, normalized and discretized, and the data attribute features are extracted using big data technology. The results of an attribute in all lifting decision trees are weighted and averaged to obtain the characteristic importance score of the attribute. The teaching pattern classification algorithm is designed according to the attribute characteristics, and the trace of the sample divergence matrix is used to increase the speed of solving the parameters and weights. Through the preliminary and secondary training of neural network, a physical education pattern recognition model is established to ensure the accuracy of small sample feature set recognition. It shows that the recognition accuracy of this method is significantly higher than that of the recognition methods based on the random forest algorithm and convolution neural network, and it has a good performance in physical education teaching pattern classification and recognition. [ABSTRACT FROM AUTHOR]

This essay provides concrete examples of how Chinese artists Cai Guoqiang and Yung Hochang, who often participate in international exhibitions, have to deal with and are influenced by the discourses of post-colonialism, anti-orientalism and nationalism as used by the art critics in their home country. This essay sums up some of the dominant ideological narratives that shape the intersections between patriotism and cosmopolitanism. The artists have acquired different identity modes to deal with demands and expectations inside and outside China, thereby perpetually navigating between articulations of Chineseness and its artistic Others. [ABSTRACT FROM AUTHOR]

Summary: With a high proportion of variable renewable energy integration, accurate forecasting approach is of vital importance in ensuring the reliable and economic operation of power system. Therefore, in this article, a novel method for predicting photovoltaic (PV) power generation based on convolutional neural network (CNN) is proposed. Analytical models of PV systems are formulated, thereby providing physical knowledge about the relationship between PV output and critical meteorological features. To explore the nonlinear and time‐varying properties of PV output, CNN is adopted in this article, which matches the patterns of similar days. Case studies based on realistic datasets in Australia demonstrate that the forecasting performance for solar power can be effectively improved by taking advantage of the proposed CNN‐based learning method. [ABSTRACT FROM AUTHOR]

It is very important for power grid development research and related technical improvement to obtain the disaster situation of fine-scale distribution network, such as the transportation condition evaluation of distribution network and the wind waterlogging disaster prediction of distribution network. Among them, the wind waterlogging disaster prediction of distribution network is the main one, and the prediction of its disaster degree often determines whether the distribution network can be prevented before and rescued after the disaster. Therefore, in view of the above problems, combined with the actual transmission situation of the distribution network, after collecting the measured disaster data of the distribution network in relevant areas, combined with the multi-source data fusion technology and neural network modeling technology, this paper analyzes the disaster degree indicators of different distribution networks and constructs the relevant fuzzy matrix through the fuzzy theory to evaluate the disaster degree, which is verified by the measured data. This distribution network disaster loss prediction model can effectively implement the disaster loss prediction of distribution network and compare its prediction results with the other two different common models. The comparison results show that the prediction accuracy of the multi-source data fusion prediction model constructed in this paper is more than 0.95 compared with the other two models, while the prediction accuracy of the other two models is not more than 0.9, which proves that the model constructed in this paper has smaller errors. It has the advantages of higher accuracy and faster convergence speed. [ABSTRACT FROM AUTHOR]

Purpose: H2A.Z is an oncogenic histone variant that is overexpressed in cancers. Two isoforms of H2A.Z, H2AFZ and H2AFV, are identical except for a three-amino acid difference. However, their isoform-specific functions remain unclear in cancer development. Thereby, this study aimed to investigate whether the two isoforms play distinct functions in hepatocarcinogenesis. Materials and Methods: Expressions of H2A.Z isoforms in 116 paired hepatocellular cancerous and para-cancerous tissues were detected by employing qPCR. GEO and TCGA databases were used to probe expressions and prognostic value of the two H2A.Z isoforms. A comprehensive meta-analysis was conducted. Furthermore, co-expressed analysis of H2AFZ and H2AFV was performed by using cBioPortal database. H2A.Z binding genes from Chip-seq were intersected with H2A.Z isoforms co-expressed genes to perform functional annotations. Cell proliferation experiments from H2AFZ knockout HepG2 and BEL-7402 cells were implemented. Finally, RNA-seq was applied to analyse alternative splicing in H2AFZ knockout and wild-type cells. Results: H2AFZ and H2AFV were both significantly upregulated (P < 0.01) in hepatocellular carcinoma and related to poor prognosis (P < 0.01). The two H2A.Z isoforms played vital roles in cell proliferation. It is also predicted that unique functions of H2AFV contain spindle midzone and microtubule, while H2AFZ is especially associated with RNA export and spliceosome. Further, devoid H2AFZ may restrain liver cancer cell proliferation and cause many alternative splicing events. Conclusion: Both H2A.Z isoforms play vital and distinct roles in the occurrence and progression of liver cancer, which may pave a way for novel therapeutic applications for cancers in the future. [ABSTRACT FROM AUTHOR]

To search for an economical and convenient synthesis of sunitinib and its malate salt, optimization of a scalable synthetic route was explored by designing a standard experimental protocol on laboratory scale using commercially available materials including acetyl ethyl acetate, 4-fluoroaniline, and N, N-diethylethane-1,2-diamine. The optimal conditions were established based on investigating the main reaction steps, including cyclization, hydrolysis, decarboxylation, formylation, and condensation, giving optimized yields for each step of 94.4, 97.6, 98.5, 97.1, 91.0, 86.3, 85.5, 88.2, 99.1, 97.3, and 58.7 %, respectively. The synthesis process of 5-formyl-2,4-dimethyl-1 H-pyrrole-3-carboxylic acid as the important intermediate was significantly improved by using solvent-free decarboxylation instead of the traditional process in a high-boiling-point solvent. The subsequent formylation was conducted directly using the dichloromethane solution of the crude product from decarboxylation, leading to an almost quantitative combined yield of these two steps. The overall yields of sunitinib and its salt using the optimal synthesis process were 67.3 and 40.0 % based on acetyl ethyl acetate. The obtained data could be used as reference for future industrialization, especially for avoiding expensive solvents and reducing reaction time. [ABSTRACT FROM AUTHOR]

Histone deacetylases (HDACs) areone of the most promising drugtargets for cancer therapy, and since more than 90% of all cancer-relateddeaths are associated with tumor metastasis, developing strategiesto inhibit tumor metastasis while retaining anti-tumor growth activityare of great interest. Herein we demonstrated the design and identificationof a series of novel hydroxamate-based HDAC inhibitors bearing potentactivities against tumor growth and metastasis. Optimization of theinitial hit resulted in the discovery of new HDAC inhibitors throughstudying the structure–activity relationship. Among them, compound 11b, one of the most potent leads, exhibited nanomolar IC50values toward inhibition of class I and IIb HDACs as wellas sub-micromolar activity against proliferation and migration ofbreast cancer cells in vitro. More importantly, it also significantlysuppressed tumor growth in a breast tumor xenograft mouse model anddose-dependently blocked in vivo tumor metastasis in a mouse pulmonarymetastasis model. [ABSTRACT FROM AUTHOR]

Abstract: A series of 2,3-diaryl-4-thiazolidinone derivatives were synthesized and evaluated for their antiproliferative properties against two well-known cancer cell lines (A549 as human lung cancer and MDA-MB-231 as human breast cancer). Structure activity relationship (SAR) analysis resulted in the discovery of 2-(3-(arylalkyl amino carbonyl)phenyl)-3-(2-methoxy-phenyl)-4-thiazolidinone derivatives with high potent inhibitory effects on the proliferation of both cancer cell lines. Furthermore, several compounds with potent antiproliferative activities displayed excellent inhibitory activities on migration with an IC50 of about 0.05 μM on MDA-MB-231 cells in two different migration assays. In particular, compound 39 was indicated to suppress tumor growth and metastasis as well as promote survival rate. Intriguingly, this series of analogs have been indicated to inhibit tumor cell proliferation through inducing cell cycle arrest. These results suggested that the new series of 2-(3-(arylalkyl amino carbonyl)phenyl)-3-(2-methoxyphenyl)-4-thiazolidinone derivatives could be regarded and developed as novel highly potential anticancer agents in the future. [Copyright &y& Elsevier]