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204. Outdoor Adventure Tourism Enabling Rural Revitalization under Context of Carbon Peaking and Carbon Neutrality Goals.

Author

YANG Lifang, HE Tao, and HAN Bo

Abstract

Outdoor adventure tourism is recognized as a green, environment-friendly and low-carbon health service industry. The development of outdoor adventure tourism industry is of great significance for achieving green development and optimizing the industrial structure. The development of outdoor adventure tourism under the background of carbon peaking and carbon neutrality goals will not only help to cultivate the spirit of adventure for the young children, but also help to understand the rise and fall of the Chinese civilization, to remember the Chinese civilization and retrieve the people' s nostalgia, and help to realize the national strategic goals of rural revitalization and common prosperity. Through literature study, expert interviews, mathematical statistics and other research methods, important roles of the outdoor adventure tourism played in rural revitalization from aspects of economic empowerment, social empowerment, cultural empowerment as well as the current difficulties were analyzed. Countermeasures included constructing the standard system of outdoor adventure sports, learning from the successful experience of the foreign countries to form outdoor adventure tourism industry with local characteristics, training more instructors, constructing the outdoor adventure tourism complex and realizing the coordinated development of outdoor adventure tourism environmental protection etc. [ABSTRACT FROM AUTHOR]

Published
2022

207. Engineering an energy-dissipating hybrid tissue in vivofor obesity treatment

Author

Wang, Lintao, Sun, Yajie, Yang, Lifang, Wang, Shaocong, Liu, Chunyan, Wang, Yulian, Niu, Yiming, Huang, Zhen, Zhang, Junfeng, Wang, Chunming, and Dong, Lei

Abstract

Obesity is a global health challenge with limited therapeutic solutions. Here, we demonstrate the engineering of an energy-dissipating hybrid tissue (EDHT) in the body for weight control. EDHT is constructed by implanting a synthetic gel matrix comprising immunomodulatory signals and functional cells into the recipient mouse. The immunomodulatory signals induce the host stromal cells to create an immunosuppressive niche that protects the functional cells, which are overexpressing the uncoupling protein 1 (UCP1), from immune rejection. Consequently, these endogenous and exogenous cells co-develop a hybrid tissue that sustainedly produces UCP1 to accelerate the host’s energy expenditure. Systematic experiments in high-fat diet (HFD) and transgenic (ob/ob) mice show that EDHT efficiently reduces body weight and relieves obesity-associated pathological conditions. Importantly, an 18-month observation for safety assessment excludes cell leakage from EDHT and reports no adverse physiological responses. Overall, EDHT demonstrates convincing efficacy and safety in controlling body weight.

Published
2024
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214. Evaluation of the effects of applying the ventricular care bundle (VCB) method for reducing ventilator-associated pneumonia (VAP) in the intensive care unit of a general Chinese tertiary hospital

Author

Liu, Weiping, primary, Yang, Yongfang, additional, Jiao, Yueying, additional, Zhang, Kai, additional, Hai, Yunting, additional, Li, Haoxue, additional, Xing, Huimin, additional, Xu, Binbin, additional, Bai, Haibo, additional, Zhao, Yuping, additional, Bao, Huan, additional, Zhang, Shuai, additional, Ren, Wei, additional, Yang, Lifang, additional, Yang, Huijun, additional, Tian, Junwei, additional, Wang, Meng, additional, and Guo, Tianhui, additional

Published
2020
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220. Drug resistance of healthcare-associated pathogenic bacteria and carbapenem-resistant Acinetobacter baumannii homology in the general intensive care unit

Author

Liu, Weiping, primary, Yang, Yongfang, additional, Zhang, Kai, additional, Hai, Yunting, additional, Li, Haoxue, additional, Jiao, Yueying, additional, Xing, Huimin, additional, Xu, Binbin, additional, Bai, Haibo, additional, Zhao, Yuping, additional, Bao, Huan, additional, Zhang, Shuai, additional, Ren, Wei, additional, Yang, Lifang, additional, Yang, Huijun, additional, Tian, Junwei, additional, Wang, Meng, additional, and Guo, Tianhui, additional

Published
2020
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221. Healthcare-associated infection prevention and control management in a tertiary hospital and an overall evaluation

Author

Liu, Weiping, primary, Guo, Tianhui, additional, Li, Haoxue, additional, Zhao, Yuping, additional, Zhang, Kai, additional, Hai, Yunting, additional, Jiao, Yueying, additional, Xing, Huimin, additional, Xu, Binbin, additional, Bai, Haibo, additional, Bao, Huan, additional, Zhang, Shuai, additional, Ren, Wei, additional, Yang, Lifang, additional, Yang, Huijun, additional, Tian, Junwei, additional, Wang, Meng, additional, and Yang, Yongfang, additional

Published
2020
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226. Epstein‐Barr virus‐encoded latent membrane protein 1 promotes extracellular vesicle secretion through syndecan‐2 and synaptotagmin‐like‐4 in nasopharyngeal carcinoma cells

Author

Liao, Chaoliang, primary, Zhou, Qin, additional, Zhang, Zhibao, additional, Wu, Xia, additional, Zhou, Zhuan, additional, Li, Bo, additional, Peng, Jinwu, additional, Shen, Liangfang, additional, Li, Dan, additional, Luo, Xiangjian, additional, and Yang, Lifang, additional

Published
2020
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247. Dynamic feature selection algorithm based on Q-learning mechanism.

Author

Xu, Ruohao, Li, Mengmeng, Yang, Zhongliang, Yang, Lifang, Qiao, Kangjia, and Shang, Zhigang

Subjects
FEATURE selection, ALGORITHMS, MACHINE learning, VECTOR valued functions, DATA visualization
Abstract

Feature selection is a technique to improve the classification accuracy of classifiers and a convenient data visualization method. As an incremental, task oriented, and model-free learning algorithm, Q-learning is suitable for feature selection, this study proposes a dynamic feature selection algorithm, which combines feature selection and Q-learning into a framework. First, the Q-learning is used to construct the discriminant functions for each class of the data. Next, the feature ranking is achieved according to the all discrimination functions vectors for each class of the data comprehensively, and the feature ranking is doing during the process of updating discriminant function vectors. Finally, experiments are designed to compare the performance of the proposed algorithm with four feature selection algorithms, the experimental results on the benchmark data set verify the effectiveness of the proposed algorithm, the classification performance of the proposed algorithm is better than the other feature selection algorithms, meanwhile the proposed algorithm also has good performance in removing the redundant features, and the experiments of the effect of learning rates on the our algorithm demonstrate that the selection of parameters in our algorithm is very simple. [ABSTRACT FROM AUTHOR]

Published
2021
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248. Falsibacillus albus sp. nov., isolated from mangrove soil

Author

Cong Liu, Yi Jiang, Long-Qian Jiang, Wu Jiafa, Cheng-Lin Jiang, Yang Lifang, Gui-Ding Li, Shen Naikun, Song-Biao Shi, Ming-Guo Jiang, and Kun Zhang

Subjects
0106 biological sciences, 0301 basic medicine, DNA, Bacterial, China, Peptidoglycan, Diaminopimelic Acid, 010603 evolutionary biology, 01 natural sciences, Microbiology, 03 medical and health sciences, chemistry.chemical_compound, Phylogenetics, Cell Wall, RNA, Ribosomal, 16S, Bacillaceae, Ecology, Evolution, Behavior and Systematics, Phospholipids, Phylogeny, Soil Microbiology, Base Composition, biology, Phylogenetic tree, Strain (chemistry), Fatty Acids, Nucleic Acid Hybridization, Vitamin K 2, General Medicine, Sequence Analysis, DNA, Ribosomal RNA, biology.organism_classification, 16S ribosomal RNA, Molecular biology, Bacterial Typing Techniques, 030104 developmental biology, chemistry, Rhizophoraceae, Glycolipids, Bacteria
Abstract

A novel Gram-stain-positive, catalase- and oxidase-positive, endospore-forming bacterium, designated GY 10110T, was isolated from mangrove soil collected from Qinzhou, Guangxi province, China. Cells were aerobic, motile with peritrichous flagella and rod-shaped. The strain grew at 15–37 °C (optimum, 28 °C), at 0–3 %(w/v) NaCl (1 %) and at pH 6.0–9.0 (pH 7.0). The major fatty acids of strain GY 10110T were anteiso-C15 : 0, iso-C15 : 0 and iso-C16 : 0. The predominant menaquinone was MK-7. The cell-wall peptidoglycan contained meso-diaminopimelic acid. The polar lipid profile comprised diphosphatidylglycerol, phosphatidylethanolamine, phosphoglycolipid, glycolipid, two unidentified aminophospholipids and three unidentified phospholipids. Phylogenetic analysis based on 16S rRNA gene sequences showed that strain GY 10110T was closely related to Falsibacillus pallidus CCTCC AB 207188T (98.0 % sequence similarity) and Bacillus oceanisediminis CGMCC 1.10115T (96.9 %), respectively. The G+C content of strain GY 10110T based on the whole genome sequence was 42.3 mol%. The novel strain showed an average nucleotide identity (ANI) value of 77.8 % and a digital DNA–DNA hybridization (dDDH) value of 15.6 % with Falsibacillus pallidus CCTCC AB 207188T based on draft genome sequences, followed by Bacillus oceanisediminis CGMCC 1.10115T with ANI and dDDH values of 75.2 and 12.8 %, respectively. The results of the polyphasic taxonomic study, including phenotypic, chemotaxonomic and phylogenetic analysis, showed that strain GY 10110T represents a novel species of the genus Falsibacillus , for which the name Falsibacillus albus sp. nov. is proposed. The type strain is GY 10110T (=CGMCC 1.13648T=NBRC 113502T).

Published
2019

249. Ottowia flava sp. nov., isolated from fish intestines

Author

Cong Liu, Shen Naikun, Gui-Ding Li, Kun Zhang, Yang Lifang, Qin-Yuan Li, Cheng-Lin Jiang, Song-Biao Shi, Yi Jiang, Long-Qian Jiang, Wu Jiafa, and Ming-Guo Jiang

Subjects
0106 biological sciences, 0301 basic medicine, DNA, Bacterial, Aquatic Organisms, China, Phospholipid, Sodium Chloride, 010603 evolutionary biology, 01 natural sciences, Microbiology, DNA, Ribosomal, Comamonadaceae, 03 medical and health sciences, chemistry.chemical_compound, Cytosol, RNA, Ribosomal, 16S, Animals, Cluster Analysis, Food science, Molecular Biology, Phospholipids, Phylogeny, Thiosulfate, Phosphatidylglycerol, Base Composition, biology, Strain (chemistry), Fatty Acids, Fishes, Quinones, Temperature, Nucleic Acid Hybridization, General Medicine, Sequence Analysis, DNA, Hydrogen-Ion Concentration, 16S ribosomal RNA, biology.organism_classification, Aerobiosis, Bacterial Typing Techniques, Intestines, genomic DNA, 030104 developmental biology, chemistry, %22">Fish , Bacteria
Abstract

A novel Gram-negative bacterium, non-motile and short rod-shaped, designated strain GY511T, was isolated from the intestines of fish collected from Maowei Sea, China. Growth occurred at pH 6.0–9.0 (optimum 7.0), 4–37 °C (optimum 28 °C) and at 0–2.5% (w/v) NaCl (optimum 1.0%). The result of 16S rRNA gene sequence analysis showed that strain GY511T is closely related to O. oryzae NBRC 113109T (97.6%), O. konkukae DSM 105395T (97.4%), Ottowia beijingensis CGMCC 1.12324T (95.9%), Ottowia pentelensis DSM 21699T (95.2%) and Ottowia thiooxydans DSM 14619T (95.0%). The DNA–DNA hybridization values of strain GY511T with O. oryzae NBRC 113109T and O. konkukae DSM 105395T were 35.4 ± 3.1% and 26.3 ± 1.8%, respectively. The major fatty acids (> 10%) were identified as summed feature 3 (C16:1ω7c and/or C16:1ω6c), C16:0 and summed feature 8 (C18:1ω7c and/or C18:1ω6c) and the major respiratory quinone was ubiquinone-8 (Q-8). The polar lipids comprised diphosphatidylglycerol, phosphatidylethanolamine, phosphatidylglycerol, phosphatidylmethylethanolamine, two unidentified aminolipids and an unidentified phospholipid. The G+C content of the genomic DNA was 62.9 mol%. Thiosulfate could be utilized as co-substrate for aerobic growth and was oxidised to sulfate. On the basis of phenotypic, chemotaxonomic and molecular data, strain GY511T is considered to represent a novel species of the genus Ottowia, for which the name Ottowia flava sp. nov. is proposed. The type strain is GY511T (= NBRC 113500T = DSM 107425T = CGMCC 1.13650T).

Published
2019

250. Resampling detection of recompressed images via dual-stream convolutional neural network

Author

Cao, Gang, Zhou, Antao, Huang, Xianglin, Song, Gege, Yang, Lifang, and Zhu, Yonggui

Subjects
FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Abstract

Resampling detection plays an important role in identifying image tampering, such as image splicing. Currently, the resampling detection is still difficult in recompressed images, which are yielded by applying resampling followed by post-JPEG compression to primary JPEG images. Except for the scenario of low quality primary compression, it remains rather challenging due to the widespread use of middle/high quality compression in imaging devices. In this paper, we propose a new convolution neural network (CNN) method to learn the resampling trace features directly from the recompressed images. To this end, a noise extraction layer based on low-order high pass filters is deployed to yield the image residual domain, which is more beneficial to extract manipulation trace features. A dual-stream CNN is presented to capture the resampling trails along different directions, where the horizontal and vertical streams are interleaved and concatenated. Lastly, the learned features are fed into Sigmoid/Softmax layer, which acts as a binary/multiple classifier for achieving the blind detection and parameter estimation of resampling, respectively. Extensive experimental results demonstrate that our proposed method could detect resampling effectively in recompressed images and outperform the state-of-the-art detectors.

Published
2019
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