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  1. Article ; Online: Research on the Current Situation of College Students’ Physical Health under the Background of the Integration of Sports and Medicine

    Zenghui Lyu / Yuanyuan Hou / Youwei Wang

    Journal of Healthcare Engineering, Vol

    2022  Volume 2022

    Abstract: As a health service model promoted by the “Healthy China 2030” plan, the integration of sports and medicine is of great significance to the reformation of college students’ health management. Research shows that the general low health literacy, unhealthy ...

    Abstract As a health service model promoted by the “Healthy China 2030” plan, the integration of sports and medicine is of great significance to the reformation of college students’ health management. Research shows that the general low health literacy, unhealthy lifestyle, significant decline in physical fitness, high incidence of subhealth, and prominent mental health problems are common among college students in China. This article comprehensively utilizes the literature data method, logical analysis method, and questionnaire survey method to analyze the health status of college students, the current status of the health management of college students, and outstanding issues and to focus on analyzing the current status of students’ body shape, physical function, and physical fitness indicators. From the perspective of examining, reflecting, and exploring physical and medical integration, it is believed that the construction of students’ physical health issues from the perspective of the development of the integration of sports and medicine is manageable and the interaction of medicine, health, and sports can be promoted. This article discusses the enlightenment of “sports–medicine integration” with school physical education, interprets the connotation of “sports–medicine integration”, and analyzes the development direction of “sports–medicine integration” and physical education. In order to effectively strengthen school physical education work, we proposed to establish the concept of “sports and medical integration” sports health education, specifically the development strategy of school physical education, including promoting “sports integration,” to improve the development of sports education, and establish a teaching service platform, providing ideas and suggestions for the development of national health strategies. In conclusion, colleges and universities should strengthen the construction of sports venues and facilities for physical education, increase students’ enthusiasm for participating in physical exercise, ...
    Keywords Medicine (General) ; R5-920 ; Medical technology ; R855-855.5
    Subject code 796
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Trunk-Constrained and Tree Structure Analysis Method for Individual Tree Extraction from Scanned Outdoor Scenes

    Xiaojuan Ning / Yishu Ma / Yuanyuan Hou / Zhiyong Lv / Haiyan Jin / Zengbo Wang / Yinghui Wang

    Remote Sensing, Vol 15, Iss 1567, p

    2023  Volume 1567

    Abstract: The automatic extraction of individual tree from mobile laser scanning (MLS) scenes has important applications in tree growth monitoring, tree parameter calculation and tree modeling. However, trees often grow in rows and tree crowns overlap with varying ...

    Abstract The automatic extraction of individual tree from mobile laser scanning (MLS) scenes has important applications in tree growth monitoring, tree parameter calculation and tree modeling. However, trees often grow in rows and tree crowns overlap with varying shapes, and there is also incompleteness caused by occlusion, which makes individual tree extraction a challenging problem. In this paper, we propose a trunk-constrained and tree structure analysis method to extract trees from scanned urban scenes. Firstly, multi-feature enhancement is performed via PointNet to segment the tree points from raw urban scene point clouds. Next, the candidate local tree trunk clusters are obtained by clustering based on the intercepted local tree trunk layer, and the real local tree trunk is obtained by removing noise data. Then, the trunk is located and extracted by combining circle fitting and region growing, so as to obtain the center of the tree crown. Further, the points near the tree’s crown (core points) are segmented through distance difference, and the tree crown boundary (boundary points) is distinguished by analyzing the density and centroid deflection angle. Therefore, the core and boundary points are deleted to obtain the remaining points (intermediate points). Finally, the core, intermediate and boundary points, as well as the tree trunks, are combined to extract individual tree. The performance of the proposed method was evaluated on the Pairs-Lille-3D dataset, which is a benchmark for point cloud classification, and data were produced using a mobile laser system (MLS) applied to two different cities in France (Paris and Lille). Overall, the precision, recall, and F1-score of instance segmentation were 90.00%, 98.22%, and 99.08%, respectively. The experimental results demonstrate that our method can effectively extract trees with multiple rows of occlusion and improve the accuracy of tree extraction.
    Keywords mobile laser scanning ; individual tree detection ; MLS point clouds ; outdoor scene ; Science ; Q
    Subject code 571
    Language English
    Publishing date 2023-03-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Accurate Physical Property Predictions via Deep Learning

    Yuanyuan Hou / Shiyu Wang / Bing Bai / H. C. Stephen Chan / Shuguang Yuan

    Molecules, Vol 27, Iss 1668, p

    2022  Volume 1668

    Abstract: Neural networks and deep learning have been successfully applied to tackle problems in drug discovery with increasing accuracy over time. There are still many challenges and opportunities to improve molecular property predictions with satisfactory ... ...

    Abstract Neural networks and deep learning have been successfully applied to tackle problems in drug discovery with increasing accuracy over time. There are still many challenges and opportunities to improve molecular property predictions with satisfactory accuracy even further. Here, we proposed a deep-learning architecture model, namely Bidirectional long short-term memory with Channel and Spatial Attention network (BCSA), of which the training process is fully data-driven and end to end. It is based on data augmentation and SMILES tokenization technology without relying on auxiliary knowledge, such as complex spatial structure. In addition, our model takes the advantages of the long- and short-term memory network (LSTM) in sequence processing. The embedded channel and spatial attention modules in turn specifically identify the prime factors in the SMILES sequence for predicting properties. The model was further improved by Bayesian optimization. In this work, we demonstrate that the trained BSCA model is capable of predicting aqueous solubility. Furthermore, our proposed method shows noticeable superiorities and competitiveness in predicting oil–water partition coefficient, when compared with state-of-the-art graphs models, including graph convoluted network (GCN), message-passing neural network (MPNN), and AttentiveFP.
    Keywords aqueous solubility ; oil–water partition coefficient ; logS ; logP ; logD ; deep learning ; Organic chemistry ; QD241-441
    Subject code 006
    Language English
    Publishing date 2022-03-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Fuziline Ameliorates Glucose and Lipid Metabolism by Activating Beta Adrenergic Receptors to Stimulate Thermogenesis

    He Gao / Zhenqiang Li / Chuanjing Cheng / Jing Cui / Jiamin Peng / Xiaoying Wang / Man Zhang / Yuanyuan Hou / Gang Bai

    International Journal of Molecular Sciences, Vol 24, Iss 8362, p

    2023  Volume 8362

    Abstract: Radix aconiti carmichaeli is a widely used traditional Chinese medicine that has been found to be effective in treating cardiovascular diseases and metabolic disorders. Patients with these diseases often experience a heat generation disorder, which is ... ...

    Abstract Radix aconiti carmichaeli is a widely used traditional Chinese medicine that has been found to be effective in treating cardiovascular diseases and metabolic disorders. Patients with these diseases often experience a heat generation disorder, which is characterized by chilliness and can worsen the progression of the disease. This study established an in vitro screening model combining the examination of cellular mitochondrial membrane potential and mitochondrial temperature to screen drugs with thermogenic activity. After differentiation and determination of the content of characteristic metabolites of the drug-containing serum blood components, it was found that Fuziline (FZL) is the key thermogenic property in Radix aconiti carmichaeli , responsible for its thermogenic effects with a high relative importance of 33%. Experiments were conducted to evaluate the thermogenic activity of Radix aconiti carmichaeli and FZL in vivo by assessing temperature changes in various organs, including the rectum, liver, and brown adipose tissue. Moreover, the effects of intracellular β 3 -adrenergic receptor (β 3 -AR) agonistic effects were evaluated using transient β 3 -AR transfection and dual-luciferase assay systems. The molecular mechanism by which FZL promotes thermogenesis and improves mitochondrial function was investigated by verifying the β-adrenergic receptors (β-AR) downstream signaling pathway. The results suggest that FZL activates β-AR nonselectively, which in turn activates the downstream cAMP-PKA signaling pathway and leads to an increase in liver glycogenolysis and triglyceride hydrolysis, accompanied by enhancing mitochondrial energy metabolism. Consequently, the liver and brown adipose tissue receive energy to generate heat. In summary, these findings provide insight into the therapeutic application of Radix aconiti carmichaeli for metabolic disorders associated with heat generation disorders.
    Keywords Radix aconiti carmichaeli ; fuziline ; thermogenesis ; beta adrenergic receptors ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
    Subject code 571
    Language English
    Publishing date 2023-05-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: A novel mode of action for COX‐2 inhibition

    Man Zhang / Jing Cui / Fukui Shen / Lili Ye / Chuanjing Cheng / Yang Li / Qiuyang Zhang / Lin Niu / Yuanyuan Hou / Gang Bai

    Clinical and Translational Medicine, Vol 12, Iss 1, Pp n/a-n/a (2022)

    Targeting ATPase domain of HSP90 induces ubiquitin degradation of new client protein COX‐2

    2022  

    Keywords Medicine (General) ; R5-920
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Wiley
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Intestinal flora variation reflects the short-term damage of microplastic to the intestinal tract in mice

    Lingli Xie / Taili Chen / Jiayi Liu / Yuanyuan Hou / Qianlong Tan / Xuyuan Zhang / Ziqian Li / Taimoor Hassan Farooq / Wende Yan / Yong Li

    Ecotoxicology and Environmental Safety, Vol 246, Iss , Pp 114194- (2022)

    2022  

    Abstract: The potential toxicity of microplastic (MPs) to organisms has attracted extensive attention. However, due to the subacute toxicity of MPs, the biological effect is hard to verify in short-term exposure experiment. Here, by tracking the dynamics of gut ... ...

    Abstract The potential toxicity of microplastic (MPs) to organisms has attracted extensive attention. However, due to the subacute toxicity of MPs, the biological effect is hard to verify in short-term exposure experiment. Here, by tracking the dynamics of gut microbes, mice model was utilized to evaluate the toxicity of compositional MPs (PE, PET, PP, PS and PVC). After 7 days digestive exposure, the physiological indicators were normal as the control group that the body weight and serum cholesterol levels were insignificant change. Whereas, through histopathological examination, all the treatment groups suffered colon tissue damage, among which PS had the most inflammatory cells. Moreover, the high-throughput sequencing results revealed great variation of intestinal flora in treated mice. The ratio of Bacteroidetes and Firmicutes in PE, PET and PP treatment groups heighten, and the relative abundance of Ruminococcaceae and Lachnospiraceae increased significantly at family levels. At the genus level, Alistipes bacteria in PS treatment group significantly decreased that is associated with obesity risk. It indicated that MPs induced inflammatory response would further interfere the dynamics of intestinal flora causing health effect in living organisms. This work shed light on MPs toxicity in short-term exposure and supplied research paradigm of MPs health risk assessment.
    Keywords Microplastic ; Intestinal flora ; Biological effect ; Short-term exposure ; Environmental pollution ; TD172-193.5 ; Environmental sciences ; GE1-350
    Subject code 150
    Language English
    Publishing date 2022-11-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article: Mimicking from Rose Petal to Lotus Leaf: Biomimetic Multiscale Hierarchical Particles with Tunable Water Adhesion

    Chen, Cheng / Liping Zhang / Mengnan Yu / Mingming Liu / Shaohai Fu / Yuanyuan Hou

    ACS applied materials & interfaces. 2019 Jan. 30, v. 11, no. 7

    2019  

    Abstract: Water-droplet adhesions of the coatings constructed by all-polymer multiscale hierarchical particles (MHPs) were finely adjusted within the range from highly adhesive to self-cleanable. The MHPs were synthesized via thermal-induced polymerization of the ... ...

    Abstract Water-droplet adhesions of the coatings constructed by all-polymer multiscale hierarchical particles (MHPs) were finely adjusted within the range from highly adhesive to self-cleanable. The MHPs were synthesized via thermal-induced polymerization of the reactants absorbed into self-made hollow reactors and in situ capping of nanocomplexes onto the reactors’ shell simultaneously. The dynamic wettability of the prepared MHPs was tuned between water-droplet sliding and water-droplet adhering by simply controlling the type of capped nanocomplexes. Water-adhesive force changed in the range from 31.28 to 89.34 μN. In addition, the raspberry-like particles (MHPs without nanocomplex capping) were used to construct superhydrophobic rose-petal-like surface with a high water-adhesive force, which can be applied in microdroplet transportation without loss. The MHPs with appropriate nanocomplex capping were used to fabricate superhydrophobic lotus-leaf-like fabric, exhibiting excellent antifouling property and superior mechanical stability. We believe that the prepared superhydrophobic MHPs with diverse water-adhesive forces are promising in potential academic research and industrial applications.
    Keywords adhesion ; antifouling activities ; biomimetics ; coatings ; fabrics ; hydrophobicity ; industrial applications ; leaves ; Lotus ; polymerization ; transportation ; wettability
    Language English
    Dates of publication 2019-0130
    Size p. 7431-7440.
    Publishing place American Chemical Society
    Document type Article
    ISSN 1944-8252
    DOI 10.1021/acsami.8b21494
    Database NAL-Catalogue (AGRICOLA)

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  8. Article: Underoil superhydrophilic surfaces: water adsorption in metal–organic frameworks

    Liu, Mingming / Lu Tie / Jing Li / Yuanyuan Hou / Zhiguang Guo

    Journal of materials chemistry. 2018 Jan. 23, v. 6, no. 4

    2018  

    Abstract: Highly hydrophilic surfaces in oil are usually difficult to prepare due to the high surface tension of water. In nature, sarcocarps such as Chinese yam can reserve water to keep itself fresh. Inspired by the unique wetting properties of sarcocarps, metal– ...

    Abstract Highly hydrophilic surfaces in oil are usually difficult to prepare due to the high surface tension of water. In nature, sarcocarps such as Chinese yam can reserve water to keep itself fresh. Inspired by the unique wetting properties of sarcocarps, metal–organic frameworks (MOFs) that can capture moisture from the atmosphere spontaneously have been proposed as building blocks for construction of underoil superhydrophilic surfaces. Herein, a mussel-inspired preparation method was adopted to coat HKUST-1 tightly on stainless-steel meshes. The MOF-based surfaces showed remarkable self-cleaning properties to crude oil under water, and could realize high-efficiency, on-demand separation of oil-in-water and water-in-oil emulsions via selective water filtration and adsorption, respectively. Water adsorption in MOFs could be extended to other extreme wettability and interfacial issues.
    Keywords Dioscorea polystachya ; adsorption ; coordination polymers ; emulsions ; filtration ; hydrophilicity ; oils ; petroleum ; porous media ; stainless steel ; surface tension ; wettability
    Language English
    Dates of publication 2018-0123
    Size p. 1692-1699.
    Publishing place The Royal Society of Chemistry
    Document type Article
    ZDB-ID 2702232-8
    ISSN 2050-7496 ; 2050-7488
    ISSN (online) 2050-7496
    ISSN 2050-7488
    DOI 10.1039/c7ta09711e
    Database NAL-Catalogue (AGRICOLA)

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  9. Article: Robust and self-repairing superamphiphobic coating from all-water-based spray

    Liu, Mingming / Jing Li / Lu Tie / Yuanyuan Hou / Zhiguang Guo

    Colloids and surfaces. 2018 Sept. 20, v. 553

    2018  

    Abstract: Superamphiphobic surfaces have drawn much attention owning to their significant advantages in interfacial applications. However, the existing preparation strategies are suffering from the complex process, substrate-independent, and copious usage of ... ...

    Abstract Superamphiphobic surfaces have drawn much attention owning to their significant advantages in interfacial applications. However, the existing preparation strategies are suffering from the complex process, substrate-independent, and copious usage of organic liquids. Moreover, the required high roughness and fairly low surface-energy components are very vulnerable to physical and chemical damages. Thus, it is highly desirable to develop a facile, universal, and environmental friendly method to fabricate robust superamphiphobic surfaces. Herein, an all-water-based spraying aqueous solution of perfluorooctanoic acid and aluminum oxide nanoparticles is formed with the aid of a fluorocarbon surfactant, which is suitable for preparing superamphiphobic coating on various substrates. The obtained coating displays excellent repellence to liquids with surface tensions higher than 27.5 mN/m. Importantly, the superamphiphobic coating still extremely repels those liquids after physical damages, and can withstand rigorous conditions including acid/base attacks, high/low temperatures, UV irradiation, and organic solvent corrosion. Moreover, the coating has a self-repairing ability against O2-plasma etching and the superamphiphobicity can be recovered after high-temperature treatment. The low-cost and environmental-friendly approach may promote the development of superamphiphobic surfaces in practical applications.
    Keywords aluminum oxide ; aqueous solutions ; coatings ; colloids ; corrosion ; nanoparticles ; perfluorocarbons ; perfluorooctanoic acid ; roughness ; solvents ; spraying ; surface tension ; surfactants ; temperature ; ultraviolet radiation
    Language English
    Dates of publication 2018-0920
    Size p. 645-651.
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 1500517-3
    ISSN 0927-7757
    ISSN 0927-7757
    DOI 10.1016/j.colsurfa.2018.06.010
    Database NAL-Catalogue (AGRICOLA)

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  10. Article: From quality markers to data mining and intelligence assessment: A smart quality-evaluation strategy for traditional Chinese medicine based on quality markers

    Bai, Gang / Guoan Luo / Guoyu Ding / Min Jiang / Tiejun Zhang / Yuanyuan Hou

    Phytomedicine. 2018 May 15, v. 44

    2018  

    Abstract: The quality of traditional Chinese medicine (TCM) forms the foundation of its clinical efficacy. The standardization of TCM is the most important task of TCM modernization. In recent years, there has been great progress in the quality control of TCM. ... ...

    Abstract The quality of traditional Chinese medicine (TCM) forms the foundation of its clinical efficacy. The standardization of TCM is the most important task of TCM modernization. In recent years, there has been great progress in the quality control of TCM. However, there are still many issues related to the current quality standards, and it is difficult to objectively evaluate and effectively control the quality of TCM.To face these challenge, we summarized the current quality marker (Q-marker) research based on its characteristics and benefits, and proposed a reasonable and intelligentized quality evaluation strategy for the development and application of Q-markers.Ultra-performance liquid chromatography-quadrupole/time-of-flight with partial least squares-discriminant analysis was suggested to screen the chemical markers from Chinese medicinal materials (CMM), and a bioactive-guided evaluation method was used to select the Q-markers. Near-infrared spectroscopy (NIRS), based on the distinctive wavenumber zones or points from the Q-markers, was developed for its determination. Then, artificial intelligence algorithms were used to clarify the complex relationship between the Q-markers and their integral functions. Internet and mobile communication technology helped us to perform remote analysis and determine the information feedback of test samples.The quality control research, evaluation, standard establishment and quality control of TCM must be based on the systematic analysis of Q-markers to study and describe the material basis of TCM efficacy, define the chemical markers in the plant body, and understand the process of herb drug acquisition, change and transmission laws affecting metabolism and exposure. Based on the advantages of chemometrics, new sensor technologies, including infrared spectroscopy, hyperspectral imaging, chemical imaging, electronic nose and electronic tongue, have become increasingly important in the quality evaluation of CMM. Inspired by the concept of Q-marker, the quantitation can be achieved with the help of artificial intelligence, and these subtle differences can be discovered, allowing the quantitative analysis by NIRS and providing a quick and easy detection method for CMM quality evaluations.The concept of Q-markers focused on unique CMM differences, dynamic changes and their transmission and traceability to establish an overall quality control and traceability system. Based on the basic attributes, an integration model and artificial intelligence research path was proposed, with the hope of providing new ideas and perspectives for the TCM quality management.
    Keywords algorithms ; artificial intelligence ; chemometrics ; communications technology ; drugs ; electronic nose ; electronic tongue ; hyperspectral imagery ; image analysis ; Internet ; liquids ; metabolism ; models ; modernization ; near-infrared spectroscopy ; Oriental traditional medicine ; quantitative analysis ; traceability
    Language English
    Dates of publication 2018-0515
    Size p. 109-116.
    Publishing place Elsevier GmbH
    Document type Article
    ZDB-ID 1205240-1
    ISSN 1618-095X ; 0944-7113
    ISSN (online) 1618-095X
    ISSN 0944-7113
    DOI 10.1016/j.phymed.2018.01.017
    Database NAL-Catalogue (AGRICOLA)

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