Chiara Talarico | Veterinary Anaesthesia | Excellence in Research Award

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Mrs. Chiara Talarico | Veterinary Anaesthesia | Excellence in Research Award

Mrs. Chiara Talarico | Veterinary Anaesthesia | Veterinarian Anaesthesiologist at UGent Hospital | Belgium

Veterinary Anaesthesia defines the focused academic and clinical profile of Mrs. Chiara Talarico, a dedicated veterinary professional with advanced training in small and large animal anaesthesia and analgesia. Mrs. Chiara Talarico earned her single-cycle degree in Veterinary Medicine from the University of Padua with top distinction, supported by extensive externships across emergency care, surgery, imaging, and anesthesiology in leading veterinary clinics. Her professional experience includes specialized and rotating internships in anaesthesia at ULiège, ADVETIA, and Ghent University Hospital, where she managed anesthetic protocols, locoregional techniques, neuromuscular monitoring, and perioperative analgesia. Mrs. Chiara Talarico’s research interests center on locoregional anaesthesia, veterinary analgesia, and anaesthetic-pharmacological interactions, supported by strong research skills in ultrasound-guided techniques, clinical case analysis, and scientific publishing. She has contributed to peer-reviewed veterinary journals, reflecting early academic recognition. In conclusion, Mrs. Chiara Talarico is a promising veterinary anaesthetist committed to clinical excellence, research-driven practice, and continuous professional development.

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Featured Publication

Alfaxalone–Dexmedetomidine–Isoflurane Partial Intravenous Anaesthesia in Combination with Scalp Block in a Cat Undergoing Craniectomy for Meningioma Excision
Veterinary Record Case Reports · 2026

long Sui | Gynecology | Research Excellence Award

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Prof. Long Sui | Gynecology | Research Excellence Award

Prof. Long Sui | Gynecology | Ph.D., Gynecologic Oncology at Fudan University | China

Gynecology Prof. Long Sui is a distinguished Professor of Gynecology and an internationally recognized authority in gynecological oncology and hysteroscopy, serving at the Obstetrics and Gynecology Hospital of Fudan University. Prof. Long Sui holds an M.D. in Clinical Medicine, a Master of Medicine in Gynecologic Endocrinology, and a Ph.D. in Gynecologic Oncology, supported by advanced international training in Germany, the United States, and the United Kingdom. Prof. Long Sui has extensive professional experience as Director of the Medical Center for Cervical Diseases and Director of the Hysteroscopy Center at Fudan University, while also holding numerous leadership roles in national and international gynecological societies, including IFCPC, ISSVD, CSCCP, and COGA. Prof. Long Sui’s research interests focus on cervical cancer prevention, gynecologic oncology, colposcopy, hysteroscopy, minimally invasive surgery, and intrauterine disease diagnosis and treatment. Prof. Long Sui demonstrates strong research skills in clinical gynecologic oncology, endoscopic surgery, medical education, international guideline development, and quality control in women’s health. Prof. Long Sui has received wide professional recognition through leadership appointments, expert committee memberships, and contributions to national health initiatives. In conclusion, Prof. Long Sui represents excellence in gynecology through clinical innovation, academic leadership, and a sustained commitment to advancing women’s health at both national and global levels.

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2025 Open-Access Journal Articles

A Prospective Study of Vaginal Topical Pretreatment of Compound Sea-Buckthorn Oil Suppository in Postmenopausal Women Prior to Colposcopy

Scientific Reports · Open Access · 2025 · Citations: 1
Chinese Expert Consensus on the Hematoporphyrin Derivative (HpD) Photodynamic Therapy in Cervical High-Grade Squamous Intraepithelial Lesion (2025)

Gynecology and Obstetrics Clinical Medicine · Open Access · 2025 · Citations: 0
Guidelines for the Clinical Application of Prophylactic Human Papillomavirus (HPV) Vaccines in China (2025 Edition)

Gynecology and Obstetrics Clinical Medicine · Open Access · 2025 · Citations: 0
Is Cone Length a Risk Factor for Internal Margin Positivity in High-Grade Squamous Intraepithelial Lesions Based on Age?

International Journal of Gynecological Cancer · 2025 · Citations: 0
Guidelines for Cervical Cancer Screening in China II

Gynecology and Obstetrics Clinical Medicine · Open Access · 2025 · Citations: 1
Patterns of Co-infection of HPV52 With Other HPV Genotypes and Their Risks of Cervical Precancer and Carcinoma

Journal of Medical Virology · Open Access · 2025 · Citations: 0
The Application of Magnifying Endoscopy in the Diagnosis of Cervical Lesions

Heliyon · Open Access · 2025 · Citations: 0
Chinese Expert Consensus on Vaginal Self-Sampling With High-Risk Human Papillomavirus Testing for Cervical Cancer Screening

Gynecology and Obstetrics Clinical Medicine · Open Access · 2025 · Citations: 0
Science Education Guide to Cervical Cancer Prevention and Treatment in China

Gynecology and Obstetrics Clinical Medicine · Open Access · 2025 · Citations: 0
Application of MRI-Guided Hysteroscopic One-Step Resection in Preserving the Fertility of Early Endometrial Cancer Patients

Frontiers in Oncology · Open Access · 2025

Md Abdul Alim | Entomology | Research Excellence Award

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Prof. Md Abdul Alim | Entomology | Research Excellence Award

Prof. Md Abdul Alim | Entomology | Professor at Hajee Mohammad Danesh Science and technology University | Bangladesh

Entomology serves as the thematic focus for highlighting the interdisciplinary academic excellence of Prof. Md Abdul Alim, a distinguished professor whose career reflects sustained leadership in higher education, research, and professional service. Prof. Md Abdul Alim holds advanced medical and doctoral qualifications earned from leading institutions, demonstrating a strong educational foundation that supports both scientific inquiry and applied research. Throughout his professional experience, Prof. Md Abdul Alim has held senior academic and administrative positions, directing specialized research centers, leading institutional programs, and contributing extensively to national and international professional committees. His research interests integrate entomology-inspired biological systems, microecological interactions, disease control mechanisms, and applied life sciences, reflecting a broad, systems-oriented research outlook. Prof. Md Abdul Alim possesses advanced research skills in experimental design, biological data analysis, clinical-to-laboratory translation, academic leadership, curriculum development, and peer-reviewed publication and review processes. His work is supported by international training experiences and collaborations that strengthen global knowledge exchange. Prof. Md Abdul Alim has received professional recognition through leadership appointments, committee memberships, and honors associated with academic excellence, research innovation, and sustained contributions to science and education. In conclusion, Prof. Md Abdul Alim exemplifies scholarly dedication, interdisciplinary research strength, and academic leadership, positioning him as a respected figure whose contributions continue to advance scientific understanding, professional education, and institutional development at both national and international levels.

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Featured Publications

Refrigerated Eggs of Riptortus pedestris (Hemiptera: Alydidae) Added to Aggregation Pheromone Traps Increase Field Parasitism in Soybean
Journal of Economic Entomology · 2011 · Cited by 43
Refrigeration of Riptortus clavatus (Hemiptera: Alydidae) Eggs for the Parasitization by Gryon japonicum (Hymenoptera: Scelionidae)
Biocontrol Science and Technology · 2009 · Cited by 36
Biological Attributes of Ooencyrtus nezarae Ishii (Hymenoptera: Encyrtidae) Reared on Refrigerated Eggs of Riptortus pedestris
Journal of Asia-Pacific Entomology · 2010 · Cited by 28
Bioassay of Plant Extracts Against Aleurodicus dispersus (Hemiptera: Aleyrodidae)
Florida Entomologist · 2017 · Cited by 20
Insecticidal Potentials of Plant Oils Against Callosobruchus chinensis (Coleoptera: Bruchidae) in Stored Chickpea
Journal of Entomological Society of Iran · 2014 · Cited by 17
Efficacy of Some Pesticides Against Tetranychus urticae Koch and Their Residual Effects on Coccinella septempunctata
International Journal of Tropical Insect Science · 2021 · Cited by 15
Monitoring Thrips Species with Yellow Sticky Traps in Astringent Persimmon Orchards in Korea
Applied Entomology and Zoology · 2018 · Cited by 13

Bowen Tang | Marine | Research Excellence Award

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Mr. Bowen Tang | Marine | Research Excellence Award

Mr. Bowen Tang | Marine | Student at Anhui Xinhua University | China

Marine research defines the academic and professional profile of Mr. Bowen Tang, an emerging scholar in robotic engineering with a strong focus on intelligent marine systems and autonomous surface vehicles. Mr. Bowen Tang is currently affiliated with Anhui Xinhua University as an undergraduate researcher, where his education emphasizes robotic control, autonomous navigation, and marine robotics through specialized coursework and laboratory training. In his professional and research experience, Mr. Bowen Tang actively contributed to a marine robotics laboratory, leading to high-impact outcomes including a Q2 SCI journal publication titled Adaptive Dynamic Prediction-Based Cooperative Interception Control Algorithm for Multi-Type Unmanned Surface Vessels in the Journal of Marine Science and Engineering. His research interests center on multi-USV cooperative control, intelligent marine vehicles, adaptive prediction algorithms, and smart aquaculture automation. Mr. Bowen Tang has developed strong research skills in control algorithm design, cooperative interception strategies, autonomous system modeling, simulation, and experimental validation, complemented by applied engineering consultancy in adaptive control for unmanned marine vessels. His innovative capacity is further demonstrated through a registered patent for an intelligent unmanned feeding vessel for aquaculture, highlighting translational impact. While still early in his career, Mr. Bowen Tang has earned academic recognition through peer-reviewed publication and patent achievement. In conclusion, Mr. Bowen Tang represents a promising marine robotics researcher whose interdisciplinary expertise positions him to contribute meaningfully to intelligent ocean engineering and future autonomous marine technologies.

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Featured Journal Article


Adaptive Dynamic Prediction-Based Cooperative Interception Control Algorithm for Multi-Type Unmanned Surface VesselsJournal of Marine Science and Engineering · January 2026
Contributors: Yuan Liu; Bowen Tang; Lingyun Lu; Zhiqing Bai; Guoxing Li; Shikun Geng; Xirui Xu

Wurz Annemarie | Agricultural | Research Excellence Award

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Mrs. Wurz Annemarie | Agricultural | Research Excellence Award

Mrs. Wurz Annemarie | Agricultural | Postdoctor at Marburg University | Germany

Agricultural research expertise defines the academic profile of Mrs. Wurz Annemarie, a highly cited researcher at the University of Marburg with an h-index of 16 and more than 1,300 citations since 2021, reflecting her strong impact in global ecology and land-use science. Mrs. Wurz Annemarie received her advanced education in ecology and environmental sciences, building a solid academic foundation that supports her interdisciplinary work linking biodiversity conservation, ecosystem services, and sustainable agricultural landscapes.

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Featured Publications:

Land-sharing and land-sparing connectivity landscapes for ecosystem services and biodiversity conservation
– People and Nature, 2019 · 368 Citations
Land-use history determines ecosystem services and conservation value in tropical agroforestry
– Conservation Letters, 2020 · 150 Citations
Listening to a changing landscape: Acoustic indices reflect bird species richness across land-use types
– Ecological Indicators, 2021 · 116 Citations
Hand pollination of global crops: A systematic review
– Basic and Applied Ecology, 2021 · 111 Citations
Win-win opportunities combining high yields with high multi-taxa biodiversity in tropical agroforestry
– Nature Communications, 2022 · 83 Citations

Lijuan Du | Food Science | Excellence in Research Award

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Mrs. Lijuan Du | Food Science | Excellence in Research Award

Mrs. Lijuan Du | Food Science | Excellence in Research Award

Food Science forms the foundation of the academic and professional profile of Mrs. Lijuan Du, a dedicated researcher affiliated with the Yunnan Agricultural Academy, Kunming, China, whose scholarly work reflects a strong commitment to advancing food-related research and innovation. Mrs. Lijuan Du has built a solid educational background in food science and related agricultural disciplines, which has equipped her with comprehensive theoretical knowledge and applied expertise essential for modern food research.

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Featured Publications:

Determining the Active Ingredients of Dendrobium officinale and Tracing Its Region of Origin

– Food Analytical Methods, 2025 ·
Quality Analysis and Characteristic Difference Identification of Organic Tea and Conventional Planting Tea Based on ICP, HPLC, and Machine Algorithm

– Food Chemistry X, 2025 · 2 Citations

 

Jiayin Tang | Reliability | Research Excellence Award

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Dr. Jiayin Tang | Reliability | Research Excellence Award

Dr. Jiayin Tang | Reliability | Professor at Southwest Jiaotong University | China

Reliability Dr. Jiayin Tang is a distinguished academic and researcher whose work integrates manufacturing mechanics, transportation systems, automation, and industrial electrical and electronic engineering with a strong focus on system reliability and performance optimization. Dr. Jiayin Tang has built a solid educational foundation in engineering disciplines that support advanced analysis of dependable and resilient systems, enabling a career dedicated to improving the safety, efficiency, and robustness of complex industrial and transportation infrastructures. Professionally, Dr. Jiayin Tang serves as a professor and active researcher, contributing to teaching, supervision, and scholarly activities while engaging in interdisciplinary projects that bridge automation, control systems, and manufacturing applications. Dr. Jiayin Tang’s research interests center on reliability engineering, fault-tolerant design, automation and control, intelligent manufacturing, and transportation system stability, with an emphasis on practical solutions for real-world engineering challenges. Dr. Jiayin Tang possesses strong research skills in system modeling, reliability analysis, data-driven evaluation, control system design, industrial electronics, and applied engineering optimization, supported by consistent scholarly dissemination and academic collaboration. Dr. Jiayin Tang has received professional recognition through academic appointments, research contributions, and participation in scientific profiling platforms, reflecting growing impact and visibility within the engineering research community. In conclusion, Dr. Jiayin Tang represents a committed and forward-looking scholar whose reliability-focused research and engineering expertise continue to advance resilient, intelligent, and sustainable industrial and transportation systems.

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 View SciProfiles Profile

Featured Journal Articles

Reliability Assessment Model for Multiple Stress Factors Accelerated Degradation Test Using a Wiener Process with Random Effects
PLOS ONE · 10 June 2025
A Complex Attention Transformer for Bearing Fault Diagnosis Based on Motor Current Signals
IEEE Transactions on Instrumentation and Measurement · 19 May 2025
A Multiscale Pooling Attention-Based Graph Attention Network for Remaining Useful Life Prediction
IEEE Transactions on Instrumentation and Measurement · 01 January 2025
Reliability Assessment for Dual Constant-Stress Accelerated Life Test Based on Weibull Distribution with Type-II Censoring
Quality and Reliability Engineering International · 02 December 2024
Reliability Inference for Dual Constant-Stress Accelerated Life Test with Exponential Distribution and Progressively Type-II Censoring
Journal of Statistical Computation and Simulation · 24 September 2024
Reliability Assessment Models for Competing Failure Processes with Two Types of Correlative Thresholds
Quality and Reliability Engineering International · 18 March 2024

Chunwei Dong | Battery Materials | Research Excellence Award

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Dr. Chunwei Dong | Battery Materials | Research Excellence Award

Dr. Chunwei Dong | Battery Materials | Engineer at National Institute of Clean-and-Low-Carbon Energy | China

Battery Materials Dr. Chunwei Dong is an accomplished engineer and researcher specializing in advanced energy storage technologies, currently serving in the Battery Materials Department at the National Institute of Clean-and-Low-Carbon Energy in Beijing, China. Dr. Chunwei Dong holds a Doctorate in Materials Science and Engineering, earned from Jilin University, where he developed a strong academic foundation in electrochemical materials and functional energy systems. Professionally, Dr. Chunwei Dong has been actively engaged in national-level research and engineering initiatives focused on next-generation batteries, contributing to innovation-driven clean energy solutions since joining the National Institute of Clean-and-Low-Carbon Energy. Dr. Chunwei Dong’s research interests encompass lithium–sulfur batteries, sodium–sulfur batteries, lithium-ion and sodium-ion batteries, lithium and sodium metal batteries, and cutting-edge solid-state battery technologies, reflecting a comprehensive approach to sustainable energy storage. Dr. Chunwei Dong possesses strong research skills in battery material design, electrochemical performance evaluation, material characterization, and applied engineering optimization for scalable energy systems. Through consistent scientific contributions, Dr. Chunwei Dong has earned professional recognition within the clean energy research community for advancing low-carbon battery technologies. In conclusion, Dr. Chunwei Dong represents a new generation of battery materials experts whose integrated academic training, professional engineering experience, and forward-looking research vision continue to support the global transition toward efficient, safe, and sustainable energy storage solutions.

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Featured Publications

A High-Areal-Capacity and Long-Cycle-Life Zinc-Ion Battery with Robust V2O3@Graphene Microlattice Cathode and Interface-Protected Zn Anode
Advanced Functional Materials, 2025 · DOI: 10.1002/adfm.202529348
The Potential of Solid-State Potassium-Ion Batteries with Polymer-Based Electrolytes
Carbon Energy, 2025, 7, e670
Synergistic Effect of Carbon Nanotube and Encapsulated Carbon Layer Enabling High-Performance SnS2-Based Anode for Lithium Storage
Journal of Energy Chemistry, 2024, 97, 700–709
Carbon-Encapsulated Bimetallic Fe–W-Based Selenides with Abundant Heterogeneous Conductive Network for Superior Potassium-Ion Storage
ACS Applied Materials & Interfaces, 2024, 16, 63612–63620
Inhibited Shuttle Effect by Functional Separator for Room-Temperature Sodium–Sulfur Batteries
Journal of Materials Science & Technology, 2022, 113, 207–216
Enabling High-Performance Room-Temperature Sodium–Sulfur Batteries with Few-Layer 2H-MoSe2-Embellished Nitrogen-Doped Hollow Carbon Spheres as Polysulfide Barriers
Journal of Materials Chemistry A, 2021, 9, 3451–3463

Oluwaseun Duntoye | Tidal Energy | Research Excellence Award

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Mr. Oluwaseun Duntoye | Tidal Energy | Research Excellence Award

Mr. Oluwaseun Duntoye | Tidal Energy | Research Assistant at Seoul National University of Science and Technology | South Korea

Tidal Energy researcher Mr. Oluwaseun Duntoye is a highly motivated power systems and AI-based control engineer with a strong interdisciplinary background spanning renewable energy systems, intelligent control, and advanced electrical engineering. Mr. Oluwaseun Duntoye holds an MSc in Electrical and Information Engineering with distinction from Seoul National University of Science and Technology, where he developed optimization and machine-learning expertise through advanced coursework and a thesis on energy-efficient beamforming algorithms, and a BTech in Physics (Electronics) from the Federal University of Technology, Minna, with strong foundations in applied physics and signal propagation. Professionally, Mr. Oluwaseun Duntoye has served as a Research Assistant at the Advanced Power Networks Lab and the Intelligent Communications Lab at SEOULTECH, contributing to high-impact research on wind power forecasting, PV–BESS control strategies, smart grids, HVDC systems, and AI-driven optimization, alongside earlier undergraduate research experience in experimental signal analysis. His research interests center on Tidal Energy integration, power systems, renewable energy conversion, energy storage, power electronics, and AI-enabled control of next-generation grids. Mr. Oluwaseun Duntoye’s research skills include system modeling, deep learning, optimization algorithms, MATLAB and Python programming, data-driven forecasting, and intelligent energy control. His academic recognition includes distinction-level graduation and competitive research paper nominations. In conclusion, Mr. Oluwaseun Duntoye represents a forward-looking Tidal Energy and renewable systems researcher poised to advance resilient, sustainable, and intelligent energy networks through doctoral-level innovation.

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Featured Publications

Wind Power Forecast Using Multilevel Adaptive Graph Convolution Neural Network
Duntoye, O.E.; Alowonou, K.C.; Kwon, D.-H. – Energies, 2026, 19, 186 (MDPI)
Real-Time Optimal Control of Two-Terminal VSC-HVDC System to Improve Grid Frequency and AC-Voltage Stability
Nyahega, G.J.; Duntoye, O.E.; Kwon, D. – IEEE Transactions on Power Systems (Under Review)
Deloading Control Strategy with Battery Energy Storage System Integration for Photovoltaic Systems
Duntoye, O.E.; Nyahega, G.J.; Kwon, D. – Proc. 11th APAP International Conference, Jeju, South Korea, 2025
An Efficient Beamforming Algorithm for Simultaneously Transmitting and Reflecting Intelligent Surfaces
Duntoye, O.E.; Lee, K. – MSc Thesis, SEOULTECH dCollections, 2024
Investigative Study on Ultrasound Velocity with Weather Parameters
Duntoye, O.E.; Ibrahim, A.G. – Proc. Nigerian Institute of Physics Annual Conference, Niger State, Nigeria, 2017

Amos Langat | Statistics | Research Excellence Award

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Assist. Prof. Dr. Amos Langat | Statistics | Research Excellence Award

Assist. Prof. Dr. Amos Langat | Statistics | Professor at Jomo Kenyatta University Of Agriculture And Technology | Kenya

Statistics Assist. Prof. Dr. Amos Langat is a highly accomplished mathematician, statistician, and academic researcher with strong regional and international engagement in applied and theoretical statistical sciences. Assist. Prof. Dr. Amos Langat holds a Doctor of Philosophy in Mathematics (Statistics), a Master of Science in Applied Statistics, and a Bachelor of Science in Economics and Mathematics, forming a solid interdisciplinary academic foundation. Professionally, Assist. Prof. Dr. Amos Langat has extensive teaching and research experience as a Senior Lecturer, Lecturer, Postdoctoral Research Fellow, Adjunct Research Scientist, and Research Fellow across leading institutions in Africa and Europe, contributing to capacity development, artificial intelligence applications, migration studies, public health analytics, and multidisciplinary research initiatives. His research interests center on statistics, applied statistical modeling, data analytics, econometrics, public health statistics, and AI-driven statistical methods. Assist. Prof. Dr. Amos Langat’s research skills include statistical inference, regression analysis, multivariate analysis, data modeling, academic publishing, and interdisciplinary research collaboration. He has been recognized through prestigious scholarships, including a Pan African University PhD Scholarship and a postgraduate scholarship for applied statistics, reflecting academic excellence and competitive merit. In conclusion, Assist. Prof. Dr. Amos Langat stands out as a forward-looking Statistics scholar whose strong research portfolio, teaching excellence, and international collaborations position him as a significant contributor to modern statistical science and evidence-based decision-making across academia and society.

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Featured Publications

Cancer Cases in Kenya: Forecasting Incidents Using Box & Jenkins ARIMA Model
A. Langat, G. Orwa, J. Koima – Biomedical Statistics and Informatics, 2017
Citations: 23
Stock Price Prediction Using Combined GARCH–AI Models
J. K. Mutinda, A. K. Langat – Scientific African, 2024
Citations: 21
High Plasma Soluble CD163 During Infancy as a Marker for Neurocognitive Outcomes in Early-Treated HIV-Infected Children
S. F. Benki-Nugent et al. – JAIDS: Journal of Acquired Immune Deficiency Syndromes, 2019
Citations: 16
Capital Asset Pricing Model: A Renewed Application on the S&P 500 Index
J. K. Mutinda, A. K. Langat – Asian Journal of Economics, Business and Accounting, 2024
Citations: 11
Forecasting Temperature Time Series Data Using Combined Statistical and Deep Learning Methods: A Case Study of Nairobi County Daily Temperature
J. K. Mutinda, A. K. Langat, S. M. Mwalili – International Journal of Mathematics and Mathematical Sciences, 2025
Citations: 10
Exploring the Role of Dimensionality Reduction in Enhancing Machine Learning Algorithm Performance
J. K. Mutinda, A. K. Langat – Asian Journal of Research in Computer Science, 2024
Citations: 10