Assist. Prof. Dr. Manolis Adamakis | Technologies | Best Researcher Award

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Assist. Prof. Dr. Manolis Adamakis | Technologies | Best Researcher Award

Assist. Prof. Dr. Manolis Adamakis | National and Kapodistrian University of Athens | Greece

Dr. Manolis Adamakis is an accomplished Assistant Professor and Researcher specializing in Physical Education, Physical Activity, Health, and Wellbeing. His scholarly work bridges theoretical and experimental perspectives, with strong expertise in new technologies applied to physical activity and in-depth data analysis using both quantitative and qualitative approaches. His research explores the intersections of physical activity, education, mental health, and digital innovation, contributing significantly to European physical education and public health. Dr. Adamakis is recognized for his leadership in designing, validating, and implementing innovative instruments and methodologies that enhance educational practice and research quality. A highly cited researcher, he has authored 32 documents indexed in Scopus, accumulating 440 citations from 412 sources, and holds an h-index of 10. His Google Scholar record reflects 1,025 citations, an h-index of 16, and an i10-index of 22, highlighting his global academic impact. His collaborative work with international teams has advanced knowledge in teacher education, child motor development, and mental well-being through physical activity. Dr. Adamakis’s commitment to interdisciplinary and evidence-based research underlines his contribution to shaping the future of physical education and health promotion.

Publication Profile

Scopus | ORCID | Google Scholar

Featured Publications 

O’Brien, W., Adamakis, M., O’Brien, N., Onofre, M., Martins, J., & Dania, A. (2020). Implications for European physical education teacher education during the COVID-19 pandemic: A cross-institutional SWOT analysis. European Journal of Teacher Education, 43(4), 503–522.

Lopes, L., Santos, R., Coelho-e-Silva, M., Draper, C., Mota, J., Jidovtseff, B., & Adamakis, M. (2021). A narrative review of motor competence in children and adolescents: What we know and what we need to find out. International Journal of Environmental Research and Public Health, 18(1), 18.

Adamakis, M., & Zounhia, K. (2016). The impact of occupational socialization on physical education pre-service teachers’ beliefs about four important curricular outcomes: A cross-sectional study. European Physical Education Review, 22(3), 279–297.

Rocliffe, P., Adamakis, M., O’Keeffe, B. T., Walsh, L., & Bannon, A. (2024). The impact of school physical activity provision on adolescent mental health and well-being: A systematic literature review. Adolescent Research Review, 9(2), 339–364.

Wälti, M., Sallen, J., Adamakis, M., Ennigkeit, F., & Gerlach, E. (2022). Basic motor competencies of 6-to-8-year-old primary school children in 10 European countries: A cross-sectional study. Frontiers in Psychology, 13, 804753.*

Dr. Xiaofeng Liu | Wireless Communication | Best Researcher Award

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Dr. Xiaofeng Liu | Wireless Communication | Best Researcher Award

Dr. Xiaofeng Liu | Lecture | Yancheng Teachers University | China

Dr. Xiaofeng Liu is a dedicated researcher and lecturer in Artificial Intelligence with a strong background in wireless communications, machine learning, and statistical inference. His research primarily focuses on developing advanced algorithms for massive MIMO systems, channel estimation, and machine learning-driven communication models. Dr. Liu has significantly contributed to the integration of statistical learning frameworks in communication system design, particularly through innovations like correlated hybrid message passing and generative diffusion models for channel estimation. His collaborative work with experts from leading research laboratories has produced high-impact publications in IEEE journals, reflecting both theoretical advancement and practical application in intelligent communication systems. His inventive contributions are further evident in several granted Chinese invention patents related to MIMO positioning, channel modeling, and beamspace communications. Dr. Liu’s research achievements are widely recognized, with his publications indexed in Scopus and Google Scholar, accumulating over 135 citations, an h-index of 6, and an i10-index of 5. His scholarly record demonstrates consistent contributions to next-generation wireless communication technologies, bridging the gap between deep learning models and complex signal processing challenges.

Publication Profile

Google Scholar | ORCID

Featured Publications 

Liu, X., Gong, X., & Fu, X. (2025). Activity detection and channel estimation based on correlated hybrid message passing for grant-free massive random access. Entropy.

Fu, X., Gong, X., Liu, X., Sun, R., Shen, Q., & Gao, X. (2025). Beamspace multi-ACB for mMTC in massive MIMO system. IEEE Transactions on Vehicular Technology.

Gong, X., Liu, X., Lu, A. A., Gao, X., Xia, X. G., Wang, C. X., & You, X. (2025). Digital twin of channel: Diffusion model for sensing-assisted statistical channel state information generation. IEEE Transactions on Wireless Communications.

Gong, X., Lu, A. A., Fu, X., Liu, X., Gao, X., & Xia, X. G. (2023). Semisupervised representation contrastive learning for massive MIMO fingerprint positioning. IEEE Internet of Things Journal.

Liu, X., Wang, W., Gong, X., Fu, X., Gao, X., & Xia, X. G. (2023). Structured hybrid message passing based channel estimation for massive MIMO-OFDM systems. IEEE Transactions on Vehicular Technology.

Mr. Ibra Fall | Computational Fluid Dynamics | Best Researcher Award

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Mr. Ibra Fall | Computational Fluid Dynamics | Best Researcher Award

Mr. Ibra Fall | PhD | National Research Center of Pumps | China

Dr. Fall Ibra is a Senegalese researcher specializing in Power Engineering, Thermo-Physics, and Computational Fluid Dynamics (CFD). His research encompasses applied fluid mechanics, multiphase flow theory, hydraulic design, and numerical simulation of gas–liquid two-phase flow systems. His work focuses on exploring the hydrodynamic mechanisms, energy conversion efficiency, and entropy generation in rotodynamic multiphase pumps and related systems. With a strong background in CFD, population balance modeling, and machine learning applications in fluid dynamics, he integrates computational modeling with experimental data to analyze flow structures, cavitation phenomena, and energy performance under complex multiphase conditions. His contributions extend to deep-sea oil and gas transport, hydraulic stability of pumping systems, and advanced turbulence modeling for gas–liquid interactions. Dr. Ibra has published extensively in high-impact journals such as Physics of Fluids, Alexandria Engineering Journal, Chaos, Solitons and Fractals, and Engineering Applications of Computational Fluid Mechanics. He has also presented his work at international symposiums on cavitation and multiphase flow. According to Scopus, Dr. Fall Ibra has authored 10 documents, cited by 49 other publications, with an h-index of 4. His Google Scholar profile similarly reflects a growing citation record and international research visibility.

Publication Profile

Scopus

Featured Publications

Falla, I., Geng, L., Gao, Y., Appiah, D., Ali, A., & Zhang, D. (2025). Effect of bubble coalescence and breakup on entropy generation in rotodynamic multiphase flow pumps. Physics of Fluids.

Falla, I., Geng, L., Gao, Y., Appiah, D., Ali, A., & Zhang, D. (2025). Numerical investigation of CFD-PBM coupled air–water flow in pipes under varying flow regimes. Alexandria Engineering Journal.

Shah, F., Falla, I., & Zhang, D. (2025). Experimental and CFD evaluation of bubble diameter and turbulence model influence on nonlinear flow dynamics. Chaos, Solitons and Fractals.

Ali, A., Yuan, J., Si, Q., & Falla, I. (2024). Comprehensive analysis of unsteady two-phase flow patterns in multiphase flow models. Engineering Applications of Computational Fluid Mechanics.

Gao, Y., Geng, L., Verdin, P. G., Falla, I., Zhang, R., Tian, Z., & Zhang, D. (2023). Modeling of dual-factor drag correction for bubbly flow under elevated pressures. Chemical Engineering and Technology.

Dr. Fernanda Diaz | Complementary Agriculture | Best Researcher Award

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Dr. Fernanda Diaz | Complementary Agriculture | Best Researcher Award

Dr. Fernanda Diaz | University of Guanajuato | Mexico

Fernanda Díaz Sánchez is a dedicated researcher in agribusiness and natural resource management, focusing on sustainable agricultural systems, rural innovation, and agri-environmental development. With an academic background in agribusiness and a master’s in innovation for natural resource management, she integrates ecological, social, and economic perspectives to enhance rural productivity and biodiversity conservation. Her research emphasizes sustainable models for germplasm production, agricultural diversification, and conservation practices in semi-arid and rural regions of Mexico. Fernanda has made significant contributions to understanding the ecological and socioeconomic dimensions of agricultural resilience, with her work being recognized through awards and academic success stories that highlight her innovative approaches to rural development. Her studies have been published in reputable journals such as Agro-Disculgation and Agroproductivity, reflecting her commitment to advancing agricultural sustainability through interdisciplinary collaboration. Fernanda actively participates in national and international conferences, presenting research on agri-food competitiveness, rural business models, and ecosystem-based management strategies. Her scholarly impact continues to grow, with publications indexed in Scopus and Google Scholar, supported by citations that underline the relevance of her work in sustainable agriculture and agribusiness management. She currently holds an h-index of 3 on Scopus and 5 on Google Scholar, demonstrating early-career influence in her field.

Publication Profile

ORCID

Featured Publication 

Díaz Sánchez, F., Cadena Iñiguez, J., Ruiz Vera, V. M., Barrera Guzmán, L. A., Cadena Zamudio, J. D., & Silos Espino, H. (2024). Conservation and production of Opuntia spp. under a complementary agricultural scheme in the Mexican highlands. Agro-Disculgation, 4(5).

Dr. Ohad Gluck | Gynecology | Best Researcher Award

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Dr. Ohad Gluck | Gynecology | Best Researcher Award

Dr. Ohad Gluck | Senior OBGYN | Wolfson Medical Center | Israel

Dr. Ohad Gluck, MD, is a distinguished clinician-scientist specializing in obstetrics and gynecology, with significant contributions to women’s health, maternal care, and reproductive surgery. His research primarily focuses on optimizing surgical outcomes, improving maternal-fetal safety, and advancing gynecological practices through evidence-based interventions. Dr. Gluck’s studies have explored key areas such as the impact of anesthesia on postoperative pain management, assessment of visual blood loss during cesarean deliveries, and reproductive outcomes following salpingectomy and tubal ligation. His work demonstrates a balance between clinical innovation and patient-centered care, often addressing real-world challenges in obstetric and gynecologic surgery. He has collaborated extensively with international experts and has contributed to several high-impact journals, including Human Reproduction, American Journal of Obstetrics and Gynecology, and Journal of Minimally Invasive Gynecology. His scientific influence is reflected in over 492 Scopus citations across 55 publications, with an h-index of 14, demonstrating consistent scholarly impact. On Google Scholar, his citation record continues to grow, emphasizing his ongoing relevance in the global research community.

Publication Profile

Scopus | ORCID

Featured Publications 

Gluck, O., Mizrachi, Y., Ginath, S., Bar, J., & Sagiv, R. (2017). Obstetrical outcomes of emergency compared with elective cervical cerclage. Journal of Maternal-Fetal & Neonatal Medicine, 30(14), 1650–1654.

Ganer Herman, H., Gluck, O., Keidar, R., Kerner, R., Kovo, M., Levran, D., Bar, J., & Sagiv, R. (2017). Ovarian reserve following cesarean section with salpingectomy vs tubal ligation: A randomized trial. American Journal of Obstetrics and Gynecology, 217(4), 472.e1–472.e6.

Mizrachi, Y., Dekalo, A., Gluck, O., Miremberg, H., Dafna, L., Feldstein, O., Weiner, E., Bar, J., & Sagiv, R. (2017). Single versus repeat doses of misoprostol for treatment of early pregnancy loss—a randomized clinical trial. Human Reproduction, 32(6), 1202–1207.

Weiner, E., Gluck, O., Levy, M., Ram, M., Divon, M., Bar, J., & Kovo, M. (2016). Obstetric and neonatal outcome following minor trauma in pregnancy: Is hospitalization warranted? European Journal of Obstetrics & Gynecology and Reproductive Biology, 203, 78–81.

Gluck, O., Mizrachi, Y., Bar, J., & Barda, G. (2018). The impact of advanced maternal age on the outcome of twin pregnancies. Archives of Gynecology and Obstetrics, 297(4), 891–895.*

Mr. Hafiz Muhammad Rehan Tariq | Metallurgy | Best Academic Researcher Award

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Mr. Hafiz Muhammad Rehan Tariq | Metallurgy | Best Academic Researcher Award

Mr. Hafiz Muhammad Rehan Tariq | PhD Candidate | Incheon National University | South Korea

Hafiz Muhammad Rehan Tariq is an emerging materials scientist and mechanical engineer specializing in mechanical metallurgy, deformation behavior, and microstructural evolution of lightweight metals, particularly magnesium and its alloys. His research focuses on understanding the fundamental deformation mechanisms under extreme environmental and thermomechanical conditions using advanced microscopy, diffraction, and analytical techniques. He aims to develop high-performance, lightweight material systems with improved strength, ductility, and corrosion resistance for next-generation engineering applications. His expertise spans cryogenic and high-temperature mechanical testing, texture control, recrystallization, and alloy design strategies to enhance the formability and mechanical efficiency of metallic materials. He has contributed significantly to the fields of materials characterization and thermo-mechanical processing through publications in high-impact journals. His scholarly impact is reflected by Scopus (145 citations, 19 documents, h-index 7) and Google Scholar (250 citations, h-index 10, i10-index 11), demonstrating growing recognition in the international research community. He also serves as a peer reviewer for Springer Nature’s Journal of Materials Science.

Publication Profile

Scopus | ORCID | Google Scholar

Featured Publications 

Kannan, A. R., Tariq, H. M. R., Ishtiaq, M., Baek, H. S., Chaudry, U. M., & Jun, T. S. (2025). Impact of post-annealing treatment on the microstructure, recrystallization, and mechanical behavior of hot-rolled Mg-Al-Zn-Ca alloy. Materials.

Tariq, H. M. R., Chaudry, U. M., Asif, Z., Niaz, S., Farooq, A., Dong, H. B., & Jun, T. S. (2025). Investigating the role of Al2Ca particles in the corrosion behavior of AZX311 Mg alloy in chloride and sulfate electrolytes. Electrochimica Acta.

Tariq, H. M. R., Chaudry, U. M., Lee, J. R., Ansari, N., Ali, M., & Jun, T. S. (2025). Tensile failure mode transitions from subzero to elevated deformation temperature in Mg-6Al-1Zn alloy. International Journal of Minerals, Metallurgy and Materials.

Tariq, H. M. R., Kang, H. H., Chaudry, U. M., Khan, M. K., & Jun, T. S. (2025). Impact of surface roughness on the yield drop of hot-rolled AZX311 Mg alloy. Advanced Engineering Materials.

Tariq, H. M. R., Chaudry, U. M., Ishtiaq, M., Kim, M., Ali, M., & Jun, T. S. (2024). Effect of Al addition on the room and cryogenic temperature deformation of Mg-xAl-1Zn-1Ca alloy (x = 2, 3 wt.%). Journal of Magnesium and Alloys.

Dr. Shao Guang Liu | Medicine | Best Researcher Award

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Dr. Shao Guang Liu | Medicine | Best Researcher Award

Dr. Shao Guang Liu | Associate Professor | Gansu Provincial Hospital | China

Dr. Liushaoguang is an accomplished associate professor and clinical expert in trauma and emergency medicine, currently contributing to the advancement of medical research and patient care at Gansu Provincial Hospital. His research primarily focuses on emergency trauma management and sepsis-induced peritonitis, with a strong emphasis on molecular and immunological mechanisms underlying trauma-related complications. Dr. Liushaoguang has led and completed several significant provincial-level projects, including studies on the construction of trauma care system management models and investigations into dendritic cell function transformation and immune paralysis in sepsis. His scholarly contributions reflect a deep integration of clinical insight and biomedical research aimed at improving critical care outcomes. His work has been widely recognized in academic circles, with a citation record of 160 citations across 11 documents and an h-index of 6 on Scopus, demonstrating the impactful nature of his research. On Google Scholar, his publications have also garnered substantial attention from the scientific community. In addition to his research achievements, Dr. Liushaoguang serves on the editorial board of the Chinese Journal of Traumatology, further underscoring his commitment to advancing medical knowledge. His published works explore various aspects of sepsis, endothelial function, gene methylation, and circular RNA mechanisms in inflammatory responses.

Profile

Scopus

Featured Publications

  • Liushaoguang. (2023). Four differentially methylated gene pairs to predict the prognosis for early stage. Frontiers in Genetics.

  • Liushaoguang. (2023). Circular RNA circ_0001105 protects the intestinal barrier of septic rats by inhibiting inflammation. BMC Gastroenterology.

  • Liushaoguang. (2022). Transcriptomics changes in the peritoneum of mice with lipopolysaccharide-induced peritonitis. Scientific Reports.

  • Liushaoguang. (2022). Endothelial progenitor cell-derived exosomal miRNA-31 alleviates septic peritonitis. Cell Death Discovery.

  • Liushaoguang. (2021). Research on the construction of the trauma care system management model in Gansu Province. Chinese Journal of Traumatology.

Mr. Nikos Mantadakis | Floating Structures | Best Researcher Award

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Mr. Nikos Mantadakis | Floating Structures | Best Researcher Award

Mr. Nikos Mantadakis | PhD candidate | Aristotle University of Thessaloniki (AUTh) | Greece

Nikolaos (Nikos) Mantadakis is a Greek civil engineer and researcher whose work focuses on the numerical modeling and hydroelastic analysis of floating offshore systems for the co-exploitation of wind and wave energy. His research lies at the intersection of marine renewable energy, structural engineering, and computational mechanics, emphasizing the development of advanced simulation frameworks for fully coupled aero-hydro-servo-elastic analyses. He has contributed extensively to projects related to offshore renewable energy technologies, including the conceptual design and numerical evaluation of floating wind turbine systems. His computational expertise spans finite element modeling, wave-structure interactions, and the use of hydrodynamic and structural analysis software such as WAMIT, ABAQUS, and OpenFAST. Nikolaos’s research contributions have been published in high-impact international journals and presented at leading conferences in marine and offshore engineering. He has actively participated in European collaborative research initiatives, such as COST Action CA17105 (WECANet), which aim to advance marine renewable energy deployment across Europe. His scholarly influence is reflected in his Scopus profile, with 78 citations across 75 documents and an h-index of 4, while his Google Scholar profile also demonstrates consistent citation growth. His peer-review experience includes contributions to prestigious journals and international conferences in offshore and polar engineering.

Profile

Scopus

Featured Publications

Mantadakis, N., Loukogeorgaki, E., & Troch, P. (2025). A computational framework for fully-coupled time-domain aero-hydro-servo-elastic analysis of hybrid offshore wind and wave energy systems. Journal of Marine Science and Engineering, 13(11), 2047.

Raghavan, V., Loukogeorgaki, E., Mantadakis, N., Metrikine, A. V., & Lavidas, G. (2024). HAMS-MREL, a new open-source multiple body solver for marine renewable energies: Model description, application, and validation. Renewable Energy, 237, 121577.

Mantadakis, N., Loukogeorgaki, E., & Karimirad, M. (2021). Accounting for hydroelasticity in the analysis of offshore wind turbine spar-type platforms. International Journal of Offshore and Polar Engineering, 31(1), 121–128.

Chatjigeorgiou, I. K., Loukogeorgaki, E., Anastasiou, E., & Mantadakis, N. (2020). Ultimate image singularities in oblate spheroidal coordinates with applications in hydrodynamics. Journal of Marine Science and Engineering, 8(1), 32.

Argyroudis, S., Nasiopoulos, G., Mantadakis, N., & Mitoulis, S. A. (2020). Cost-based resilience assessment of bridges subjected to earthquake excitations including direct and indirect losses. International Journal of Disaster Resilience in the Built Environment, 1, 1–13.

Mr. HaoFei Chen | Sensor Hardware | Young Innovator Award

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Mr. HaoFei Chen | Sensor Hardware | Young Innovator Award

Mr. HaoFei Chen | Nanjing University of Science and Technology | China

Chen Haofei is a dynamic researcher specializing in wearable intelligent systems, sensor technology, and machine learning-based recognition models. His research primarily focuses on developing advanced wearable sign language recognition systems for the hearing-impaired, integrating multidisciplinary expertise in kinematic modeling, sensor layout optimization, adaptive algorithm development, and system validation. His work aims to enhance communication accessibility through innovative sensor fusion and data-driven algorithms, achieving recognition accuracies above Ninety Percent. Chen’s technical expertise spans instrumentation science, signal acquisition, data optimization, embedded system design, and intelligent data processing using neural networks and particle swarm optimization. His studies demonstrate a strong commitment to bridging theoretical modeling with real-world application, particularly in high-impact environments such as overpressure explosion testing and multi-dimensional data acquisition. Chen has published influential research articles that contribute significantly to the fields of intelligent measurement and human-computer interaction. According to Scopus, he has 3 citations across 2 indexed documents with an h-index of 1, reflecting the emerging academic influence of his early-stage work. His research outputs are also indexed on Google Scholar, indicating growing international visibility and recognition.

Profile

Scopus

Featured Publication 

Chen, H. (2025). Biomechanical feature extraction for robust sign language recognition with applications. Molecular & Cellular Biomechanics, 22(3), 1322.

Chen, H., & Di, C. (2025). Lightweight sign language intelligent recognition model based on improved R-C3D. Egyptian Informatics Journal, Elsevier.

Dr. Shuyi Zhao | Tunnel | Best Researcher Award

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Dr. Shuyi Zhao | Tunnel | Best Researcher Award

Dr. Shuyi Zhao | Master Student | China University of Mining and Technology | China

Zhao Shuyi is an emerging researcher in the field of Civil and Mining Engineering at the China University of Mining and Technology (Beijing), with a strong focus on rock mechanics, tunnel engineering, and anchorage system performance. Her research primarily explores the mechanical behavior, failure mechanisms, and reinforcement performance of rock and soil structures under complex geological and hydrochemical environments. She has made notable contributions to the study of infrared radiation evolution during rock failure, the dynamic response of anchorage systems with high-performance NPR bolts, and the development of resin-based anchoring materials designed for challenging hydrochemical conditions. Zhao’s scholarly work demonstrates a unique integration of laboratory experimentation and field application, emphasizing sustainable and resilient tunnel support systems. Her recent studies contribute to improving the safety, durability, and efficiency of underground engineering structures through innovative anchorage and excavation methods. She has published her findings in high-impact journals indexed in Scopus and Web of Science, including Engineering Failure Analysis, Materials, and Tunnelling and Underground Space Technology. Zhao’s research has been cited across multiple international sources, reflecting growing academic influence, with an h-index of 5 on Scopus and 6 on Google Scholar as of 2025. Her published works highlight collaborative research with prominent experts such as Jun Yang and Kexue Wang, further strengthening the scientific foundation of mining and civil engineering technologies.

Publication Profile

Scopus | ORCID

Featured Publications

Wang, K., Yang, J., Liu, Z., Bian, W., Wu, Y., & Zhao, S. (2025). Study on the infrared radiation evolution and early warning characteristics of failure in anchored specimens with different anchorage methods. Engineering Failure Analysis, 110065.

Bian, W., Dong, M., Wang, K., Sun, Z., Wang, Z., Zhao, S., & Yang, J. (2025). Performance evolution and formulation improvement of resin-based anchoring materials for hydrochemical environments. Materials, 18(20), 4741.

Wang, K., Yang, J., Bian, W., Wu, Y., Sun, Z., & Fang, Y. (2025). Dynamic behavior of anchorage systems reinforced with high-performance NPR bolts: Laboratory and field investigation. Construction and Building Materials, 142585.

Bian, W., Zhai, Z., Yang, J., Wang, K., Hao, Q., Sun, Z., & Sun, X. (2025). Resilient design of urban rock tunnels using prestressed support systems: Experimental study and field applications. Tunnelling and Underground Space Technology, 106591.

Bian, W., Yang, J., Zhu, C., Wang, K., & Xu, D. (2024). Application of excavation compensation method for enhancing stability and efficiency in shallow large-span rock tunnels. Journal of Central South University, 11771-024-5767-4.