Qing Wang | Neuroscience Discoveries | Best Innovation Award

Prof. Qing Wang | Neuroscience Discoveries | Best Innovation Award

Prof. Qing Wang | Southern Medical University | China

Professor Dennis Qing Wang is a distinguished neurologist and neuroscientist recognized for his pioneering research in neurodegenerative diseases, brain imaging, and translational neuroscience. With more than two decades of clinical and academic experience, he has made outstanding contributions to understanding the mechanisms of Alzheimer’s disease, Parkinson’s disease, and cognitive decline. Professor Wang holds an MD from the National Defense Medical Center, an MSc in Clinical Neurology from National Yang-Ming University, and a PhD in Neuroscience from the University of Tokyo, Japan. His multidisciplinary work bridges advanced neuroimaging and molecular neuroscience, fostering early diagnostics and therapeutic innovations that bridge laboratory research and patient care. He has authored 66 peer-reviewed scientific papers, which have collectively received 3,423 citations across 3,040 documents, demonstrating the global impact of his research. With an h-index of 30, his scholarship reflects both depth and sustained influence in the neuroscience community. As Professor of Neurology at Changhua Christian Hospital, he leads research initiatives in neurogenetics, cognitive neuroscience, and neurodegeneration, supervising emerging scientists and clinicians in the field. He has been invited to deliver lectures at leading international conferences and actively contributes to global collaborations in clinical neuroscience.

Profile: Scopus

Featured Publications

Wang, D. Q., et al. (2025). Development and validation of a polysomnography-based nomogram for predicting amnestic mild cognitive impairment in middle-aged and elderly people. Sleep Medicine.

Wang, D. Q., et al. (2025). Vascular depression: A comprehensive exploration of the definition, mechanisms, and clinical challenges.

Wang, D. Q., et al. (2025). Cellular fibronectin exacerbates α-synuclein aggregation via integrin α4β1-mediated PARP1 and SCD elevation. Neurotherapeutics.

Wang, D. Q., et al. (2025). Fibrinogen exacerbates α-synuclein aggregation and mitochondrial dysfunction via α5β3 integrin in Parkinson’s disease.

Wang, D. Q., et al. (2024). Lee Silverman Voice Treatment for dysarthria in patients with Parkinson’s disease: A systematic review and meta-analysis.

Alexis Koskan | Public Health | Best Researcher Award

Assoc. Prof. Dr. Alexis Koskan | Public Health | Best Researcher Award

Assoc. Prof. Dr. Alexis Koskan | Arizona State University | United States

Dr. Alexis M. Koskan, Ph.D. is an Associate Professor in the College of Health Solutions at Arizona State University (ASU), specializing in behavioral oncology, cancer prevention, and implementation science. She completed her postdoctoral fellowship in Behavioral Oncology at the Moffitt Cancer Center and earned her Ph.D. in Health Promotion, Education, and Behavior from the University of South Carolina. Her research focuses on the prevention and control of cancers caused by human papillomavirus (HPV), increasing cancer screening uptake, and developing community-engaged interventions that promote equitable access to cancer prevention services. Dr. Koskan has led and collaborated on numerous NIH- and industry-funded projects, including initiatives addressing vaccine hesitancy, digital health interventions, and culturally tailored cancer education for underserved populations. Her scholarship has produced over 45 peer-reviewed publications in leading journals such as Vaccine, JMIR, and Journal of Cancer Education. Through interdisciplinary and community-based approaches, Dr. Koskan’s work advances the dissemination and implementation of evidence-based strategies to reduce cancer disparities and improve public health outcomes.

Profile: Google Scholar

Featured Publications

Azugbene, E. A., Koskan, A. M., Williams, E., Patton, T., Liu, L., Nizigiyimana, J., … (2025). Facilitators of COVID-19 vaccination among pregnant and lactating refugee women: A qualitative study using a community-based approach. Patient Education and Counseling, 136, 108778.

Kim, S. W., Lozano, F., Todd, M., Larkey, L., Bahrami, R., Juwadi, K., & Koskan, A. (2025). Digital storytelling to reduce Hispanic parents’ COVID-19 vaccine hesitancy: A pilot randomized controlled trial. Vaccines, 13(11), 1093.

Williams, E., Azugbene, E., Lozano, F., Liu, L., Patton, T., Nizigiyimana, J., … Koskan, A. M. (2025). COVID-19 vaccine barriers among pregnant and lactating refugee women: A case study. Frontiers in Public Health, 13, 1600107.

Koskan, A. M., Venetis, M. K., & Kim, S. W. (2025). Pilot testing digital stories to influence college men’s intentions to vaccinate against HPV. Journal of Cancer Education, 1–6.

James, D. L., Ahlich, E., Maxfield, M., Kechter, A., James, S. E., Koskan, A. M., … (2025). Perspectives of older adults with memory decline participating in a prolonged nightly fasting (PNF) pilot study: A qualitative exploration. Journal of Clinical and Translational Science, 9(1), e112.

Koskan, A. M., Vizcaino, M., Khatib, M., Brown, T. M., & Sears, D. D. (2025). Abstract B082: Design Studios for Health to identify distinct outreach events and interventions to reduce the burden of cancer among Hispanic/Latino and Black adults in a major southwestern city. Cancer Epidemiology, Biomarkers & Prevention, 33(9_Supplement), B082–B082.

 

Mohammad Goli | Agricultural Technology | Best Faculty Award

Prof. Dr. Mohammad Goli | Agricultural Technology | Best Faculty Award

Prof. Dr. Mohammad Goli | Islamic Azad University | Iran

Prof. Mohammad Goli is a distinguished researcher in Food Science and Technology at the Islamic Azad University, Isfahan (Khorasgan) Branch, with a prolific record of high-impact international publications. His scientific contributions span food chemistry, processing technology, nutraceuticals, and food safety, emphasizing innovative, sustainable, and health-oriented approaches to modern food production. His most-cited works include studies on cold atmospheric plasma processing, bioactive compound extraction from plant-based wastes, functional protein modification, and nanoemulsion technology for food systems. These publications have been widely referenced across fields including food engineering, biotechnology, and nutrition science. His review on COVID-19 and the food industry, published in Food Science & Nutrition, is particularly recognized for its early insights into food production safety during the pandemic. Prof. Goli collaborates extensively with national and international scholars, and his recent research focuses on green processing, food waste valorization, and functional food innovation. His work bridges fundamental food science with applied industrial research, supporting advancements in food security, sustainability, and health-promoting technologies.

Profile: Google Scholar

Featured Publications

Goli, M. (2020). Review of novel human β-coronavirus (2019-nCoV or SARS-CoV-2) from the food industry perspective — Appropriate approaches to food production technology. Food Science & Nutrition, ISI-WOS (Q2), USA. [DOI: 10.1002/fsn3.1892]

Goli, M. (2020). Review of novel human β-coronavirus (2019-nCoV or SARS-CoV-2) from the food industry perspective — Food plant health principles. Journal of Food Safety, ISI-WOS (Q3), USA. [DOI: 10.1111/jfs.12853]

Abarghoei, M., Goli, M., Shahi, S. (2023). Investigation of cold atmospheric plasma effects on functional and physicochemical properties of wheat germ protein isolate. LWT – Food Science and Technology, ISI-WOS (Q1), Netherlands. [DOI: 10.1016/j.lwt.2023.114585]

Jabbari, N., Goli, M., Shahi, S. (2024). Optimization of bioactive compound extraction from saffron petals using ultrasound-assisted acidified ethanol solvent: Adding value to food waste. Foods, ISI-WOS (Q1), Switzerland. [DOI: 10.3390/foods13040542]

Heidari, M., Khodadadi Jokar, Y., Madani, S., Shahi, S., Shahi, M.S., Goli, M. (2023). Influence of food type on human psychological–behavioral responses and crime reduction. Nutrients, ISI-WOS (Q1), Switzerland. [DOI: 10.3390/nu15173715]

Benedetta Fantaci | Biomedical Engineering | Best Researcher Award

Ms. Benedetta Fantaci | Biomedical Engineering | Best Researcher Award

Ms. Benedetta Fantaci | Universidad de Zaragoza | Spain

Dr. Benedetta Fantaci is a distinguished biomedical engineer recognized for her pioneering work in ocular biomechanics and computational modeling. Her research focuses on developing advanced corneal digital twins to enhance precision in laser refractive surgery and deepen understanding of corneal diseases like keratoconus. Through innovative finite-element opto-biomechanical simulations, she bridges the gap between engineering and ophthalmology. Her collaborative projects span several leading European institutions, addressing challenges in eye growth, vascular remodeling, and biomechanical tissue behavior. She has contributed to multiple high-impact publications and served in key scientific and organizational roles at international biomechanics conferences. Her research continues to influence global advances in vision science and biomedical innovation.

Profile: Google Scholar

Featured Publications

Fantaci, B., Calvo, B., & Rodríguez, J. F. (2024). Modeling biological growth of human keratoconus: On the effect of tissue degradation, location and size. Computers in Biology and Medicine, 180, 108976. https://doi.org/10.1016/j.compbiomed.2024.108976

Fantaci, B., Calvo, B., Barraquer, R., Picó, A., & Ariza-Gracia, M. Á. (2024). Establishing standardization guidelines for finite-element optomechanical simulations of refractive laser surgeries: An application to photorefractive keratectomy. Translational Vision Science & Technology, 13(5), 11–11. https://doi.org/10.1167/tvst.13.5.11

Franceschelli, C., & Fantaci, B. (2020). Implementazione di un algoritmo elastostatico inverso con linearizzazione esatta per determinare la geometria vascolare scarica.

Fantaci, B., Calvo, B., Mesa, A. M., & Ortillés, A. (2025). Comparative evaluation of the mechanical properties of amniotic membranes for corneal grafting: Effects of cryopreservation, lyophilization, and dehydration. Journal of the Mechanical Behavior of Biomedical Materials, 107234. https://doi.org/10.1016/j.jmbbm.2025.107234

Fantaci, B., Rodríguez Matas, J. F., Squartecchia, V., Vavassori, L., & Calvo, B. (2025). Unraveling the impact of laser refractive surgery on corneal ectasia: An in silico study. Frontiers in Bioengineering and Biotechnology, 13, 1548539. https://doi.org/10.3389/fbioe.2025.1548539

Hadiel Zamzam | Material Science | Best Researcher Award

Dr. Hadiel Zamzam | Material Science | Best Researcher Award

Dr. Hadiel Zamzam | Suez University | Egypt

Dr. Hadiel Zamzam is a highly accomplished prosthodontist with a German educational foundation and American postdoctoral research experience. She currently serves as a Lecturer in Fixed Prosthodontics at Suez University and Misr International University (MIU), and as a Researcher at Egypt’s National Research Center (NRC). A meticulous clinician and innovative academic, Dr. Zamzam’s expertise spans fixed prosthodontics, esthetic rehabilitation, CAD/CAM restorative materials, and dental biomechanics. Their studies have been cited by 14 scientific documents, reflecting a growing impact within the dental research community. With an h-index of 1, the researcher’s work demonstrates an emerging academic influence supported by collaborative projects and experimental investigations on occlusal veneer durability, resin cement bonding, and surface treatment optimization. The publications showcase a strong integration of biomechanical analysis and material science, contributing to advancements in evidence-based restorative dentistry and digital dental technology.

Profile: Scopus | Orcid

Featured Publications

Zamzam, H., Moussa, A., Zohdy, M., Morsi, T., Olivares, A., & Fok, A. (2025). Accelerated bruxism-simulating fatigue test of occlusal veneers. Journal of the Mechanical Behavior of Biomedical Materials, 157, 107243. https://doi.org/10.1016/j.jmbbm.2025.107243

Zamzam, H., Olivares, A., & Fok, A. (2021). Load capacity of occlusal veneers of different restorative CAD/CAM materials under lateral static loading. Journal of the Mechanical Behavior of Biomedical Materials, 115, 104290. https://doi.org/10.1016/j.jmbbm.2020.104290

 

Marco Zanotti | Data Science | Best Researcher Award

Mr. Marco Zanotti | Data Science | Best Researcher Award

Mr. Marco Zanotti | University of Milan-Bicocca | Italy

Marco Zanotti is an accomplished Machine Learning Engineer and Data Scientist specializing in time series analysis, forecasting, anomaly detection, and econometrics. With extensive experience across sectors such as e-commerce fashion, tourism, aviation, and digital services, he has played a key role in designing and improving advanced forecasting systems that drive data-informed business decisions. He currently serves as a Data Scientist and Forecasting Specialist at Wanan Luxury (Rome, Italy), following previous positions at Blogmeter, T-Voice, and Uvet Amex GBT, where he contributed to predictive modeling, machine learning optimization, and process automation. In academia, Marco is an Adjunct Professor at the University of Milan and other leading Italian universities, where he teaches modern time series forecasting, machine learning, programming, and statistics at both Bachelor’s and Master’s levels. He holds a Ph.D. in Statistics from the University of Milano-Bicocca, a Post-graduate Diploma in Data Science for Economics, Business and Finance, and an M.Sc. in Economics and Finance from the University of Milan. Fluent in Italian, English, and French, Marco is proficient in R, Python, SQL, Git, Shiny, and Google Cloud Platform. A member of the International Institute of Forecasters, he is passionate about bridging the gap between academic research and industrial applications, mentoring young data scientists, and advancing the science of predictive analytics.

Profile: Orcid

Featured Publications

Zanotti, M. (2025, December). On the retraining frequency of global models in retail demand forecasting. Machine Learning with Applications. https://doi.org/10.1016/j.mlwa.2025.100769

Zanotti, M., & Mazzucchelli, L. (2021). dispositionEffect [Research protocol or software].

Mr. Ehsan Esmaeeli | Research Excellence | Best Researcher Award | 2537

Mr. Ehsan Esmaeeli | Research Excellence | Best Researcher Award

Mr. Ehsan Esmaeeli | Sharif University of Technology | Iran

Ehsan Esmaeeli, a dedicated researcher in Maintenance and Reliability Engineering at Sharif University of Technology, exemplifies excellence in research, innovation, and professional expertise. His scholarly contributions span maintenance optimization, reliability modeling, and intelligent asset management systems, integrating AI and hybrid optimization techniques. With multiple publications in high-impact international journals such as IEEE Access and Journal of Quality in Maintenance Engineering, his work has advanced the understanding of data-driven maintenance strategies and sustainable industrial operations. A Certified Maintenance and Reliability Professional (CMRP), Asset Management Assessor (CAMA), and Reliability Leader (CRL), Ehsan bridges academic research with industrial practice, fostering innovation that enhances system reliability and operational efficiency.

Profile: ScopusOrcid

Featured Publications

Esmaeeli, E., Collins, A. J., Varmazyar, M., & Khorshidnia, M. (2025). Agent-based modeling applications in maintenance systems: A systematic review. Journal of Quality in Maintenance Engineering, 31(3), 325–349. https://doi.org/10.1108/JQME-03-2024-0028

Li Wang | Quantum Computing | Young Scientist Award

Dr. Li Wang | Quantum Computing | Young Scientist Award 

Dr. Li Wang | Lu Dong University | China

My name is Wang Li, female. I obtained my Doctor’s degree from Northeast Normal University . Currently, I hold the position of Associate Professor at the School of Physics and Optoelectronic Engineering, Ludong University.​ My research field focuses on the theoretical simulation and property study of optoelectronic materials, where I have been committed to exploring the intrinsic mechanisms and application potentials of various optoelectronic materials through systematic theoretical analysis and simulation methods.​ In the past five years, I have achieved remarkable progress in scientific research:​ Research Projects: I presided over 1 Young Scientists Fund Project of the National Natural Science Foundation of China and 1 Doctoral Fund Project of the Shandong Provincial Natural Science Foundation. Additionally, I participated in 2 General Program Projects of the National Natural Science Foundation of China, making positive contributions to the advancement of related research directions.​ Academic Papers: As the first author or corresponding author, I have published 20 papers indexed in SCI. Among these, 10 are classified as TOP papers in the 2nd District of the Chinese Academy of Sciences (CAS), 6 belong to the 2nd District of CAS, and 3 are in the 3rd District of CAS. These works have provided valuable references for peers in the field of optoelectronic materials.​ In 2023, in recognition of my outstanding contributions to young scientific research in the field of optical engineering, I was honored with the Youth Science and Technology Award of the Shandong Optical Engineering Society.​ Looking forward, I will continue to deepen my research in the field of optoelectronic materials, strive for more innovative achievements, and promote the development and application of related disciplines.​

Profile: Orcid

Featured Publications

Wang, L., Xu, X., & Li, R. (2026). Platelet transfusion and mortality in critically ill patients with gastrointestinal bleeding and thrombocytopenia: A retrospective cohort study. The American Journal of Emergency Medicine. https://doi.org/10.1016/j.ajem.2025.09.035

Wang, L., Xu, X., Wang, S., Li, R., & Zhang, P. (2025). Red blood cell alloimmunization in transfused patients with myelodysplastic syndromes: A retrospective study from northern China. Laboratory Medicine. https://doi.org/10.1093/labmed/lmae056

Tang, Y., Wang, L., Zhu, M., Yang, M., Zhong, K., Du, Q., Zhang, H., & Gui, M. (2015). Association of mtDNA M/N haplogroups with systemic lupus erythematosus: A case-control study of Han Chinese women. Scientific Reports, 5, 10817. https://doi.org/10.1038/srep10817

Luis Martin Pomares | Renewable Resources | Best Researcher Award

Dr. Luis Martin Pomares | Renewable Resources | Best Researcher Award

Dr. Luis Martin Pomares | DEWA R&D | United Arab Emirates

A distinguished solar energy expert and research scientist, with over two decades of professional experience spanning solar resource assessment, satellite-based irradiance modeling, and renewable energy forecasting. His career bridges applied research, data analytics, and large-scale solar project development, contributing to the advancement of sustainable energy systems worldwide. Currently serving as a Principal Scientist and Program Director at the Dubai Electricity and Water Authority (DEWA) R&D Center, he leads initiatives in solar resource assessment, satellite image processing, and deep learning-based solar forecasting. His work includes developing data pipelines for solar forecasting using modern AI frameworks such as TensorFlow and Keras, and managing BSRN radiometric stations for high-precision solar measurements. Previously, he was a Scientist at Qatar Foundation’s QEERI, where he directed the development of the Solar Atlas of Qatar and applied remote sensing methods for regional solar mapping. Earlier, as President and Project Developer at Investigaciones y Recursos Solares Avanzados (IrSOLaV), he managed multi-megawatt PV and CSP projects across several continents and pioneered forecasting systems integrating Numerical Weather Prediction (NWP) and satellite-based nowcasting models. His expertise encompasses radiative transfer modeling, atmospheric physics, GIS-based solar mapping, and energy system simulation. He has contributed extensively to IEA Solar Heating and Cooling Tasks 36 and 46, COST Action 1002, and EU FP7 projects on solar nowcasting. He is also an active reviewer for leading journals such as Solar Energy, Journal of Solar Energy Engineering, and Atmospheric Measurement Techniques. Academically, he holds a Ph.D. in Physical Sciences (Cum Laude) from the Complutense University of Madrid, with a dissertation on solar radiation prediction using statistical methods. His publication record includes numerous peer-reviewed papers and book chapters on solar resource modeling, machine learning applications in energy forecasting, and site adaptation of solar datasets.

Profile: Google Scholar

Featured Publications

Valappil, V. K., & Martin-Pomares, L. (2025). Characterizing solar attenuation for concentrated solar power plants in Dubai using AERONET data and libRadtran. Solar Energy, 302, 114082.

Sanfilippo, A., Martin-Pomares, L., & Polo, J. (2025). Solar resources mapping: Fundamentals and applications. Springer Nature.

Nie, Y., Paletta, Q., Scott, A., Martin-Pomares, L. M., Arbod, G., Sgouridis, S., Lasenby, J., et al. (2024). Sky image-based solar forecasting using deep learning with heterogeneous multi-location data: Dataset fusion versus transfer learning. Applied Energy, 369, 123467.

Rezk, M., Tiwari, V. K., Manandhar, P., Krishnan, V., & Martin-Pomares, L. M. (2024). A CNN-based classifier for quality image selection from sky cameras. Proceedings of the 7th International Conference on Signal Processing and Information Technology (ICSPIT).

Manandhar, P., Tiwari, V. K., Rezk, M., Krishnan, V., & Martin-Pomares, L. M. (2024). Convolutional deep learning hierarchical classifier to identify synoptic sky conditions based on sky images. Proceedings of the 7th International Conference on Signal Processing and Information Technology (ICSPIT).

Martin-Pomares, L., Ghaoud, T., Al Khaja, T. T., Alemadi, A., Ahmed, M. S. M. M., et al. (2024). Sea water salinity estimation over Dubai using satellite imagery & WASI empirical model approach: Application to SpaceD DEWASAT-2 nanosatellite. Proceedings of the 7th International Conference on Signal Processing and Information Technology (ICSPIT).

Vandi Dlama Kamaunji | Research Excellence | Best Researcher Award

Dr. Vandi Dlama Kamaunji | Research Excellence | Best Researcher Award

Dr. Vandi Dlama Kamaunji | Tyeeli New Energy Company Limited | Nigeria

Dr. Vandi Dlama Kamaunji is a geologist and geochemist with a strong background in mineral exploration, petrology, geochemistry, and geological mapping. His professional experience spans academic, industrial, and research roles, focusing on the geological evolution, petrogenesis, and mineralization of alkaline and peralkaline complexes in Nigeria and China. He has served as an Exploration/Resource Geologist at Wanrun Mining Company Limited, where he led geological field surveys, core logging, mineral resource estimations, and geophysical data interpretation to support mineral exploration and development projects. His work also included environmental impact assessments, data management, and regulatory compliance. Previously, as a Part-Time Lecturer at Adamawa State University, he delivered courses in ore deposits and geochemistry, supervised research projects, and contributed to curriculum development and academic mentorship. Earlier in his career, he held a leadership role as Head of Geology at L&T Hydrogeo-Engineering Company, where he conducted geophysical surveys, oversaw mineral exploration operations, and managed multidisciplinary geological teams. Dr. Kamaunji’s research contributions include multiple publications in high-impact international journals such as Lithos, International Geology Review, Geological Journal, and Journal of African Earth Sciences. His studies cover diverse topics such as tectonomagmatic processes, isotopic geochemistry, remote sensing applications, and mineral resource potential in Nigeria’s basement complexes and ring structures. His scientific expertise encompasses mineralogy, isotope and trace-element geochemistry, ore deposit modeling, and analytical techniques such as EPMA, LA-ICP-MS, ICP-MS, XRF, and SEM. He is actively engaged in international collaborations and professional organizations, including the International Association of Geochemistry, European Association of Geochemistry, Society of Economic Geologists, and the Nigerian Mining and Geoscience Society. Dr. Kamaunji has received several academic and merit awards, including the Excellent Graduate Award (Ph.D.) and the Excellent Master’s Dissertation Award from the China University of Geosciences, as well as the prestigious Chinese Government Scholarships for both his Master’s and Doctoral studies.

Profile: Google Scholar

Featured Publications

Kamaunji, V. D., Wang, L. X., Ahmed, H. A., Zhu, Y. X., Vincent, V. I., & Girei, M. B. (2020). Coexisting A1 and A2 granites of Kudaru Complex: Implications for genetic and tectonic diversity of A-type granite in the Younger Granite Province, north-central Nigeria. International Journal of Earth Sciences, 109(2), 511–535. https://doi.org/10.1007/s00531-020-01818-8

Kamaunji, V. D., Wang, L. X., Ma, C. Q., Liu, J., & Zhu, Y. X. (2021). Petrogenesis and tectonic implication of the Permian–Triassic syenogranites from the eastern segment of the East Kunlun Orogen, China. Lithos, 402, 105932. https://doi.org/10.1016/j.lithos.2020.105932

Vincent, V. I., Wang, L. X., Zhu, Y. X., Kamaunji, V. D., Ahmed, H. A., Ntekim, E. E., & Cao, L. (2022). Onset of the anorogenic alkaline magmatism in the Nigerian Younger Granite Province: Constraints from the Daura and Dutse complexes. Lithos, 410, 106561. https://doi.org/10.1016/j.lithos.2021.106561

Vincent, V. I., Li, H., Girei, M. B., Förster, M. W., & Kamaunji, V. D. (2023). Tourmaline and zircon trace the nature and timing of magmatic-hydrothermal episodes in granite-related Sn mineralization: Insights from the Libata Sn ore field. American Mineralogist, 108(3), 552–571. https://doi.org/10.2138/am-2023-8334

Ahmed, H. A., Wang, L. X., Ma, C. Q., Abdallsamed, M. I. M., Girei, M. B., Zhu, Y. X., Vincent, V. I., & Kamaunji, V. D. (2021). Contrasting Neoproterozoic and Mesozoic granitoids in Zaranda Complex (Nigeria): Insights into the distinct origins, tectonic settings, and mineralization potential. International Journal of Earth Sciences, 110(4), 1389–1413. https://doi.org/10.1007/s00531-021-02021-z