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  1. Article ; Online: Crystal structure and Hirshfeld surface analysis of a salt of antineoplastic kinase inhibitor vandetanib.

    Yang, Haiwu / Liang, Minyi / Tian, Fang

    Acta crystallographica. Section C, Structural chemistry

    2024  Volume 80, Issue Pt 3, Page(s) 62–65

    Abstract: A salt of vandetanib, namely, 4-({4-[(4-bromo-2-fluorophenyl)amino]-6-methoxyquinazolin-7-yl}methoxy)-1-methylpiperazin-1-ium 2-(butylamino)-4-phenoxy-6-sulfamoylbenzoate acetonitrile monosolvate, ... ...

    Abstract A salt of vandetanib, namely, 4-({4-[(4-bromo-2-fluorophenyl)amino]-6-methoxyquinazolin-7-yl}methoxy)-1-methylpiperazin-1-ium 2-(butylamino)-4-phenoxy-6-sulfamoylbenzoate acetonitrile monosolvate, C
    MeSH term(s) Bumetanide ; Crystallography, X-Ray ; Hydrogen Bonding ; Antineoplastic Agents ; Piperidines ; Protons
    Chemical Substances Bumetanide (0Y2S3XUQ5H) ; Antineoplastic Agents ; Piperidines ; Protons
    Language English
    Publishing date 2024-02-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 2025703-X
    ISSN 2053-2296 ; 1600-5759 ; 0108-2701
    ISSN (online) 2053-2296 ; 1600-5759
    ISSN 0108-2701
    DOI 10.1107/S2053229624000676
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Evaluating the effects of graphene nanoparticles combined radio-frequency thawing on the physicochemical quality and protein conformation in hairtail (Trichiurus lepturus) dorsal muscle.

    Tian, Fang / Gu, Xiaohan / Li, Yujin / Cai, Luyun

    Journal of the science of food and agriculture

    2024  Volume 104, Issue 5, Page(s) 2809–2819

    Abstract: Background: The thawing process is an essential step for a frozen marine fish. The present study aimed to investigate the effects of graphene magnetic nanoparticles combined radio-frequency thawing methods on frozen hairtail (Trichiurus lepturus) dorsal ...

    Abstract Background: The thawing process is an essential step for a frozen marine fish. The present study aimed to investigate the effects of graphene magnetic nanoparticles combined radio-frequency thawing methods on frozen hairtail (Trichiurus lepturus) dorsal muscle. Seven thawing methods were used: air thawing, 4 °C cold storage thawing, water thawing, radio-frequency thawing (RT), radio frequency thawing combined with graphene nanoparticles (G-RT), radio frequency thawing combined with graphene oxide nanoparticles (GO-RT) and radio-frequency thawing combined with graphene magnetic nanoparticles (GM-RT). The thawing loss and centrifugal loss, electric conductivity, total volatile basic nitrogen, thiobarbituric acid reactive substances and color of thawed hairtail dorsal muscle were determined. The carbonyl content, total sulfhydryl groups, Ca
    Results: The results demonstrated that the RT, G-RT, GO-RT and GM-RT could significantly shorten the thawing time. Moreover, GO-RT and GM-RT efficiently preserved the color of fish dorsal muscle and reduced the impact of thawing on fish quality by reducing lipid and protein oxidation. Meanwhile, the myofibrillar protein structure thawed by GO-RT and GM-RT were more stable and had a more stable secondary structure, which maintained strong systemic stability at the same time as slowing down protein oxidation.
    Conclusion: The results showed that GO-RT and GM-RT can significantly improve the thawing efficiency at the same time as effectively maintaining and improving the color and texture of thawed fish, slowing down the oxidation of proteins and lipids, and maintaining a good quality of thawed fish meat. © 2023 Society of Chemical Industry.
    MeSH term(s) Animals ; Graphite ; Perciformes ; Proteins ; Fishes ; Protein Conformation ; Muscles/chemistry ; Water/analysis
    Chemical Substances Graphite (7782-42-5) ; Proteins ; Water (059QF0KO0R)
    Language English
    Publishing date 2024-01-03
    Publishing country England
    Document type Journal Article
    ZDB-ID 184116-6
    ISSN 1097-0010 ; 0022-5142
    ISSN (online) 1097-0010
    ISSN 0022-5142
    DOI 10.1002/jsfa.13169
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Cooperation, hotspots and prospects for tourism environmental impact assessments.

    Zhang, Yunlai / Wang, Lixin / Zheng, Yaomin / Tian, Fang

    Heliyon

    2023  Volume 9, Issue 6, Page(s) e17109

    Abstract: This study aims to identify hot spots, research limitations and future research directions in tourism environmental impact assessment (TEIA). We analyzed studies from the core database of Web of Science (WoS) based on their coauthorship, keyword co- ... ...

    Abstract This study aims to identify hot spots, research limitations and future research directions in tourism environmental impact assessment (TEIA). We analyzed studies from the core database of Web of Science (WoS) based on their coauthorship, keyword co-occurrence and timeline with VOSviewer and CiteSpace. It was found that China, the United States, the United Kingdom, Australia and Spain are the major contributors to TEIA, and relatively stable cooperative groups have been formed among the authors. Research hotspots in the past 20 years mainly include: the impact of tourism activities in different tourist destinations on the environment, the approaches to assess the impact of tourism on the environment, and strategies on reducing the negative impact of tourism on the environment. We also found TEIA deficiency in the following five aspects: 1) insufficient studies on macro decision-making; 2) insufficient dynamic interaction analysis; 3) insufficient tourism heat footprint research; 4) insufficient studies on the positive effects of tourism on the environment; and 5) insufficient interdisciplinary innovation. Based on the findings, we suggest that 1) further studies be conducted on tourism activity type, time scale, macro pattern, environmental process and policy effect of tourism impact assessment with more variables and factors considered; 2) the impact of different types of tourism on each subsystem of the environment and the paths of the interaction among subsystems be explored from the perspective of system governance; 3) the study of thermal footprint generated by tourism activities be given more attention, especially large-scale tourism activities; 4) the positive impact of tourism activities on the ecological environment be studied, especially ecotourism; 5) the applicability of TEIA evaluation results be increased by means of interdisciplinary methods such as big data analysis.
    Language English
    Publishing date 2023-06-09
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2023.e17109
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Self-dehumanization and other-dehumanization toward students with special educational needs: examining their prevalence, consequences and identifying solutions-a study protocol.

    Sin, Kuen-Fung / Yang, Lan / Ye, Frank Tian-Fang

    BMC psychology

    2023  Volume 11, Issue 1, Page(s) 137

    Abstract: Background: Students with special educational needs (SEN) often face dehumanization, which negatively impacts their mental health, daily functioning, and educational outcomes. This study seeks to address the research gap in dehumanization literature by ... ...

    Abstract Background: Students with special educational needs (SEN) often face dehumanization, which negatively impacts their mental health, daily functioning, and educational outcomes. This study seeks to address the research gap in dehumanization literature by examining the prevalence, dynamics, and consequences of self-dehumanization and other-dehumanization among SEN students. Moreover, by utilizing psychological experiments, the study aims to identify potential intervention strategies and make recommendations to minimize the negative psychological consequences derived from the dual model of dehumanization.
    Methods: This two-phase, mixed-methods study incorporates cross-sectional surveys and quasi-experimental designs. Phase 1 investigates the self-dehumanization of SEN students and other-dehumanization from non-SEN peers, teachers, parents, and the public. Phase 2 involves four experimental studies to evaluate the effectiveness of interventions emphasizing human nature and uniqueness in reducing self-dehumanization and other-dehumanization of SEN students, as well as their associated negative consequences.
    Discussion: The study fills a research gap by examining dehumanization in SEN students, applying dyadic modeling, and identifying potential solutions to ameliorate dehumanization and its negative consequences. The findings will contribute to the advancement of the dual model of dehumanization, increase public awareness and support for SEN students in inclusive education, and promote changes in school practice and family support. The 24-month study in Hong Kong schools is expected to provide significant insights into inclusive education in school and community settings.
    MeSH term(s) Humans ; Education, Special/methods ; Prevalence ; Cross-Sectional Studies ; Students/psychology ; Dehumanization
    Language English
    Publishing date 2023-04-27
    Publishing country England
    Document type Journal Article
    ZDB-ID 2705921-2
    ISSN 2050-7283 ; 2050-7283
    ISSN (online) 2050-7283
    ISSN 2050-7283
    DOI 10.1186/s40359-023-01178-3
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  5. Article: Sheep Face Recognition Model Based on Deep Learning and Bilinear Feature Fusion.

    Wan, Zhuang / Tian, Fang / Zhang, Cheng

    Animals : an open access journal from MDPI

    2023  Volume 13, Issue 12

    Abstract: A key prerequisite for the establishment of digitalized sheep farms and precision animal husbandry is the accurate identification of each sheep's identity. Due to the uncertainty in recognizing sheep faces, the differences in sheep posture and shooting ... ...

    Abstract A key prerequisite for the establishment of digitalized sheep farms and precision animal husbandry is the accurate identification of each sheep's identity. Due to the uncertainty in recognizing sheep faces, the differences in sheep posture and shooting angle in the recognition process have an impact on the recognition accuracy. In this study, we propose a deep learning model based on the RepVGG algorithm and bilinear feature extraction and fusion for the recognition of sheep faces. The model training and testing datasets consist of photos of sheep faces at different distances and angles. We first design a feature extraction channel with an attention mechanism and RepVGG blocks. The RepVGG block reparameterization mechanism is used to achieve lossless compression of the model, thus improving its recognition efficiency. Second, two feature extraction channels are used to form a bilinear feature extraction network, which extracts important features for different poses and angles of the sheep face. Finally, features at the same scale from different images are fused to enhance the feature information, improving the recognition ability and robustness of the network. The test results demonstrate that the proposed model can effectively reduce the effect of sheep face pose on the recognition accuracy, with recognition rates reaching 95.95%, 97.64%, and 99.43% for the sheep side-, front-, and full-face datasets, respectively, outperforming several state-of-the-art sheep face recognition models.
    Language English
    Publishing date 2023-06-11
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2606558-7
    ISSN 2076-2615
    ISSN 2076-2615
    DOI 10.3390/ani13121957
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  6. Article ; Online: Sheep Face Recognition Model Based on Deep Learning and Bilinear Feature Fusion

    Wan, Zhuang / Tian, Fang / Zhang, Cheng

    Animals. 2023 June 11, v. 13, no. 12

    2023  

    Abstract: A key prerequisite for the establishment of digitalized sheep farms and precision animal husbandry is the accurate identification of each sheep’s identity. Due to the uncertainty in recognizing sheep faces, the differences in sheep posture and shooting ... ...

    Abstract A key prerequisite for the establishment of digitalized sheep farms and precision animal husbandry is the accurate identification of each sheep’s identity. Due to the uncertainty in recognizing sheep faces, the differences in sheep posture and shooting angle in the recognition process have an impact on the recognition accuracy. In this study, we propose a deep learning model based on the RepVGG algorithm and bilinear feature extraction and fusion for the recognition of sheep faces. The model training and testing datasets consist of photos of sheep faces at different distances and angles. We first design a feature extraction channel with an attention mechanism and RepVGG blocks. The RepVGG block reparameterization mechanism is used to achieve lossless compression of the model, thus improving its recognition efficiency. Second, two feature extraction channels are used to form a bilinear feature extraction network, which extracts important features for different poses and angles of the sheep face. Finally, features at the same scale from different images are fused to enhance the feature information, improving the recognition ability and robustness of the network. The test results demonstrate that the proposed model can effectively reduce the effect of sheep face pose on the recognition accuracy, with recognition rates reaching 95.95%, 97.64%, and 99.43% for the sheep side-, front-, and full-face datasets, respectively, outperforming several state-of-the-art sheep face recognition models.
    Keywords algorithms ; animal husbandry ; data collection ; face ; models ; posture ; sheep ; uncertainty
    Language English
    Dates of publication 2023-0611
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article ; Online
    ZDB-ID 2606558-7
    ISSN 2076-2615
    ISSN 2076-2615
    DOI 10.3390/ani13121957
    Database NAL-Catalogue (AGRICOLA)

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  7. Article ; Online: Effects of magnetic nanoscale combined radio frequency or microwave thawing on conformation of sea bass myosin heavy chain: a molecular dynamics study

    Zhang, Wendi / Tian, Fang / Liu, Shucheng / Cai, Luyun

    Journal of the Science of Food and Agriculture. 2023 Jan. 30, v. 103, no. 2 p.856-864

    2023  

    Abstract: BACKGROUND: The consumption of frozen foods inevitably involves a thawing process. Protein conformation changes during a short thawing process and the quantification of their effects remains challenging. Molecular dynamics simulations can be used to ... ...

    Abstract BACKGROUND: The consumption of frozen foods inevitably involves a thawing process. Protein conformation changes during a short thawing process and the quantification of their effects remains challenging. Molecular dynamics simulations can be used to evaluate the conformational changes of protein occurring in food processing. RESULTS: In the present study, four different thawing methods were used [i.e. magnetic nanometer combined with microwave thawing (MT‐Mag), magnetic nanometer combined with radio frequency thawing (RT‐Mag), radio frequency thawing (RT) and microwave thawing (MT)] to change the conformation of myosin heavy chain (MHC). The results obtained showed that, compared with the fresh sample, the hydrogen bond number and radius of gyration of the RT‐Mag and RT groups were less decreased. Visual molecular dynamics STRIDE analysis showed that the content of the α helix was relatively high in the RT‐Mag and MT‐Mag groups. CONCLUSION: These simulation results indicate that RT‐Mag can be used as an effective method for promoting the thawing process of fish and better stabilizing the protein structure. These conclusions provide a theoretical realization for understanding the protein conformational transition during the thawing process and the realization of quantification and also provide guidance for choosing better thawing conditions without loss of nutritional properties. © 2022 Society of Chemical Industry.
    Keywords agriculture ; bass ; hydrogen bonding ; magnetism ; molecular dynamics ; myosin heavy chains ; protein conformation ; radio waves
    Language English
    Dates of publication 2023-0130
    Size p. 856-864.
    Publishing place John Wiley & Sons, Ltd.
    Document type Article ; Online
    Note JOURNAL ARTICLE
    ZDB-ID 184116-6
    ISSN 1097-0010 ; 0022-5142
    ISSN (online) 1097-0010
    ISSN 0022-5142
    DOI 10.1002/jsfa.12197
    Database NAL-Catalogue (AGRICOLA)

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  8. Article ; Online: Proximity to the water surface markedly enhances the force production on underwater flapping wings.

    Bhat, Shantanu S / Medina, Albert / Tian, Fang-Bao / Young, John / Lai, Joseph C S / Ravi, Sridhar

    PloS one

    2024  Volume 19, Issue 3, Page(s) e0299542

    Abstract: The potential application of flapping wings in micro-aerial vehicles is gaining interest due to their ability to generate high lift even in confined spaces. Most studies in the past have investigated hovering wings as well as those flapping near solid ... ...

    Abstract The potential application of flapping wings in micro-aerial vehicles is gaining interest due to their ability to generate high lift even in confined spaces. Most studies in the past have investigated hovering wings as well as those flapping near solid surfaces. However, the presence of surface tension at the water-air interface and the ability of the water surface to move might differentiate its response to the proximity of wings, compared to that of solid surfaces. Motivated by underwater, amphibian robots and several underwater experimental studies on flapping wings, our study investigated the effects of the proximity of flapping wings to the water surface at low Reynolds numbers (Re = 3400). Experiments were performed on a rectangular wing in a water tank with prescribed flapping kinematics and the aerodynamic forces were measured. The effects of surface proximity on the wing in its both upright and inverted orientations were studied. Broadly, the mean lift and drag coefficients in both orientations decreased significantly (by up to 60%) as the distance from the water surface was increased. In the case of the upright orientation, the mean lift coefficient was slightly decreased very close to the water surface with its peak being observed at the normalized clearance of [Formula: see text]. Overall, the study revealed an enhancement in the aerodynamic forces closer to the water surface.
    MeSH term(s) Animals ; Wings, Animal/physiology ; Flight, Animal/physiology ; Models, Biological ; Mechanical Phenomena ; Biomechanical Phenomena
    Language English
    Publishing date 2024-03-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0299542
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  9. Article ; Online: Study on the vertical Bridgman method of melt-grown CsPbBr

    Zhang, Mingzhi / Huang, Chentao / Xia, Guotu / Liu, Juan / Tian, Fang / Zou, Jijun / Tang, Bin

    Acta crystallographica Section B, Structural science, crystal engineering and materials

    2024  Volume 80, Issue Pt 2, Page(s) 64–71

    Abstract: As an excellent representative of all-inorganic perovskite materials, ... ...

    Abstract As an excellent representative of all-inorganic perovskite materials, CsPbBr
    Language English
    Publishing date 2024-02-10
    Publishing country England
    Document type Journal Article
    ZDB-ID 2020841-8
    ISSN 2052-5206 ; 1600-5740 ; 1600-8650 ; 2052-5192
    ISSN (online) 2052-5206 ; 1600-5740 ; 1600-8650
    ISSN 2052-5192
    DOI 10.1107/S2052520624000398
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Decolorization and detoxification of Brilliant Crocein GR by a newly enriched thermophilic consortium.

    Tian, Fang / Guo, Guang / Fu, Weilian / Li, Shiji / Ding, Keqiang / Yang, Feng / Liang, Chengyue

    Journal of environmental management

    2024  Volume 356, Page(s) 120623

    Abstract: The environmental pollution caused by azo dyes at high temperatures has become an urgent problem. However, little attention has been paid to decolorizing azo dyes by thermophilic consortiums. In this study, a thermophilic bacterial consortium (BCGR-T) ... ...

    Abstract The environmental pollution caused by azo dyes at high temperatures has become an urgent problem. However, little attention has been paid to decolorizing azo dyes by thermophilic consortiums. In this study, a thermophilic bacterial consortium (BCGR-T) mainly composed of two genera, namely, Caldibacillus (70.90%) and Aeribacillus (17.63%) was first enriched, which can decolorize Brilliant Crocein GR (BCGR) at high temperatures (50-75 °C), pH values of 6∼8, dye concentrations (100-400 mg/L) and salinities (1-5%, w/v). The enzyme activity results showed that the azoreductase activity was nearly 8.8 times that of the control (p < 0.01), and the intracellular lignin peroxidase was also highly expressed with enzyme activity of 5.64 U (min
    MeSH term(s) NAD ; NADP ; Biodegradation, Environmental ; Azo Compounds ; Dioxygenases ; Coloring Agents ; Naphthalenesulfonates
    Chemical Substances brilliant crocein (5PLA82FV3C) ; NAD (0U46U6E8UK) ; NADP (53-59-8) ; Azo Compounds ; Dioxygenases (EC 1.13.11.-) ; Coloring Agents ; Naphthalenesulfonates
    Language English
    Publishing date 2024-03-22
    Publishing country England
    Document type Journal Article
    ZDB-ID 184882-3
    ISSN 1095-8630 ; 0301-4797
    ISSN (online) 1095-8630
    ISSN 0301-4797
    DOI 10.1016/j.jenvman.2024.120623
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