Assist Prof Dr. Sina Fard Moradinia | Machine Learning | Editorial Board Member

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Assist Prof Dr. Sina Fard Moradinia | Machine Learning | Editorial Board Member

Sina Fard Moradinia at Islamic Azad University, Iran

👨‍🎓 Profiles

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Summary

Dr. Sina Fard Moradinia is a dedicated Assistant Professor in Civil Engineering with over 20 years of experience specializing in water resources management. He has made significant contributions to both academia and industry through research, teaching, and numerous projects. Dr. Moradinia has been involved in leadership roles, including serving as the Head of the Water Resources Management Working Group and a member of various scientific councils and committees. He is also an accomplished author with expertise in project management, hydraulic structures, and innovative water management techniques.

Education

  • Ph.D. in Civil Engineering (Water Resources) – Iran University of Science and Technology, Tehran, Iran, 2014

💼 Professional Experience

  • Assistant Professor – Islamic Azad University, Tabriz (2002–Present)
  • Head of Water Resources Management Working Group – East Azerbaijan Province Elite Foundation
  • University Representative – Skills Training and Career Counseling Center
  • Civil Engineering Expert – Faraz Ab Consulting Engineers
  • Engineering Services Expert – Dam and Network Activities, River Engineering

🔬 Research Interests

Dr. Moradinia’s research interests focus on water resources management, hydraulic structures, and construction project optimization. His work spans advanced machine learning applications in flood risk assessment, time and cost management in dam projects, and BIM integration in civil engineering. He is also actively engaged in addressing environmental issues such as controlling dust storms in the Urmia Lake basin.

 

Publications

Economic and environmental analysis of EVs’ in urban transportation using system dynamics

  • Authors: Azarnoosh, Z., Moradinia, S.F., Golchin, B., Jani, R.
  • Journal: Sustainable Futures
  • Year: 2024

A novel approach to flood risk zonation: integrating deep learning models with APG in the Aji Chay catchment

  • Authors: Bina, A.A., Moradinia, S.F.
  • Journal: Aqua Water Infrastructure, Ecosystems and Society
  • Year: 2024

Wavelet–ANN hybrid model evaluation in seepage prediction in nonhomogeneous earthen dams

  • Authors: Fatehi-Nobarian, B., Fard Moradinia, S.
  • Journal: Water Practice and Technology
  • Year: 2024

Time and Cost Management in Water Resources Projects Utilizing the Earned Value Method

  • Authors: Hussein, A.R., Moradinia, S.F.
  • Journal: Journal of Studies in Science and Engineering
  • Year: 2024

The prediction of precipitation changes in the Aji-Chay watershed using CMIP6 models and the wavelet neural network

  • Authors: Khoramabadi, F., Moradinia, S.F.
  • Journal: Journal of Water and Climate Change
  • Year: 2024

Assist Prof Dr. Tiande Wen | 3D Computer Vision | Best Researcher Award

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Assist Prof Dr. Tiande Wen | 3D Computer Vision | Best Researcher Award

Tiande Wen at Shantou University, China

👨‍🎓 Profiles

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Education

  • B.S. in Mechanical Engineering and Automation, Jiangxi University of Science and Technology (2010-2014)
  • Ph.D. in Geotechnical and Environmental Mechanics, Dalian University of Technology (2016-2019)

💼 Professional Experience

  • Postdoctoral Researcher, Shenzhen University (2019-2021)
  • Assistant Professor, Shantou University (2021-Present)

🔬 Research Focus

  • Microscopic pore structure and hydraulic characteristics of unsaturated soils
  • Improved micromicrostructure and water-force characteristics of granite residual soil

📈 Current Projects

Host of multiple research projects, including those funded by the National Natural Science Foundation of China and Guangdong Province, focusing on unsaturated soil experiments and numerical simulations.

Publications

Carbon fiber and PVA fiber reinforced concrete: Electrical resistivity and piezoresistive properties

  • Authors: Tang, M., Chen, X., Luo, Y., Gao, L., Wen, T.
  • Journal: Materials Letters
  • Year: 2024

Effects of representative elementary volume size on three-dimensional pore characteristics for modified granite residual soil

  • Authors: Wen, T., Luo, Y., Tang, M., Chen, X., Shao, L.
  • Journal: Journal of Hydrology
  • Year: 2024

Employing novel N-doped graphene quantum dots to improve chloride binding of cement

  • Authors: He, H., E, S., Wen, T., He, C., Yu, Y.
  • Journal: Construction and Building Materials
  • Year: 2023

Three-dimensional pore structure characteristics of granite residual soil and their relationship with hydraulic properties under different particle gradation by X-ray computed tomography

  • Authors: Wen, T., Chen, X., Luo, Y., Shao, L., Niu, G.
  • Journal: Journal of Hydrology
  • Year: 2023

One−Dimensional Seepage of Unsaturated Soil Based on Soil−Water Characteristic Curve

  • Authors: Shao, L., Wu, S., Guo, X., Wen, T.
  • Journal: Processes
  • Year: 2022

Assoc Prof Dr. Jiuchuan Guo | Biosensor Technology | Best Researcher Award

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Assoc Prof Dr. Jiuchuan Guo | Biosensor Technology | Best Researcher Award

Jiuchuan Guo at University of Electronic Science and Technology of China, China

👨‍🎓 Profiles

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Google Scholar

Summary

Assoc Prof Dr. Jiuchuan Guo is a dedicated researcher at the University of Electronic Science and Technology of China. His work centers around biosensor technology, with a focus on multi-modal biological microprobe sensing mechanisms and AI-driven biosensor development. He addresses challenges like low-abundance molecule detection, improving sensitivity, and reducing interference in biosensors.

Education

Assoc Prof Dr. Guo completed his education in Information and Communication Engineering, specializing in biosensor technologies.

Professional Experience

With extensive research experience, he has published 13 first-author papers, including highly impactful works in leading journals such as IEEE Trans, Biosensors and Bioelectronics, and Analytical Chemistry. He also holds 6 patents and was awarded the prestigious State Sponsored Postdoctoral Fellowship and the 2023 Science and Technology Progress Award.

🔬 Research Interests

Assoc Prof Dr. Guo’s research spans the development of portable biosensors, functionalized nanoprobes, and AI algorithms to enhance biosensor performance.

Publications

Overview of therapeutic drug monitoring and clinical practice

  • Authors: Zijun Fang, He Zhang, Jiuchuan Guo, Jinhong Guo
  • Journal: Talanta
  • Year: 2024

Minimally invasive electrochemical continuous glucose monitoring sensors: Recent progress and perspective

  • Authors: Yuanyuan Zou, Zhengkang Chu, Jiuchuan Guo, Shan Liu, Xing Ma, Jinhong Guo
  • Journal: Biosensors and Bioelectronics
  • Year: 2023

Organ-on-a-chip: A new tool for in vitro research

  • Authors: Jiasheng Yan, Ziwei Li, Jiuchuan Guo, Shan Liu, Jinhong Guo
  • Journal: Biosensors and Bioelectronics
  • Year: 2022

Integrated electrochemical lateral flow immunoassays (eLFIAs): recent advances

  • Authors: Jie Cheng, Guopan Yang, Jiuchuan Guo, Shan Liu, Jinhong Guo
  • Journal: Analyst
  • Year: 2022

Platelet detection based on improved YOLO_v3

  • Authors: Renting Liu, Chunhui Ren, Miaomiao Fu, Zhengkang Chu, Jiuchuan Guo
  • Journal: Cyborg and Bionic Systems
  • Year: 2022

Assoc Prof Dr. Diangeng Li | Biosensor Technology | Best Researcher Award

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Assoc Prof Dr. Diangeng Li | Biosensor Technology | Best Researcher Award

Diangeng Li at Beijing Chao-Yang Hospital, Capital Medical University, China

👨‍🎓 Profiles

Scopus

Summary

Assoc Prof Dr. Diangeng Li, M.D., is an Associate Professor and Associate Chief Physician at Beijing Chao-Yang Hospital, Capital Medical University. He has extensive expertise in translational medicine, focusing on biosensor technology. As a Visiting Scholar at Jefferson Hospital, Thomas Jefferson University, he has contributed significantly to medical research and innovation.

Education

  • M.D., Medical Degree
  • Visiting Scholar, Jefferson Hospital, Thomas Jefferson University, U.S.A.

Professional Experience

  • Associate Chief Physician
  • Associate Researcher
  • Associate Professor
  • M.S. Tutor

🔬 Research Interests

  • Biosensor technology
  • Translational Medicine

 

Publications

Analysis of m6A-regulated genes and subtype classification in lupus nephritis

  • Authors: Li, D., Li, Y., Zhu, K., Sun, Q., Jin, M.
  • Journal: BMC Nephrology
  • Year: 2024

An EM-Tracked Approach for Calibrating the 3D Pose of Flexible Endoscopes.

  • Authors: Long, Z., Chi, Y., Zhang, X., Li, D., Jiang, Z.
  • Journal: Annals of Biomedical Engineering
  • Year: 2021

An Ultra-miniaturized Inflammation Monitoring Platform Implemented by Long Afterglow Lateral Flow Immunoassay

  • Authors: Guo, J., Zhang, Y., Fu, Y., Guo, J., Li, D.
  • Journal: IEEE Sensors Journal
  • Year: 2024

Research Progress and Prospects of Intelligent Diabetes Monitoring Systems: A Review.

  • Authors: Zou, Y., Chu, Z., Yang, T., Guo, J., Li, D.
  • Journal: IEEE Sensors Journal
  • Year: 2024

Integrative analysis of the association between circadian rhythm and lupus nephritis

  • Authors: Jin, M., Teng, F., Cao, B., Sun, Q., Li, D.
  • Journal: Clinical Kidney Journal
  • Year: 2023

Prof Dr. Jinhong Guo | Biosensor Technology | Best Researcher Award

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Prof Dr. Jinhong Guo | Biosensor Technology | Best Researcher Award

Jinhong Guo at Shanghai Jiao Tong University, China

👨‍🎓 Profiles

Google Scholar

Summary

National Excellent Youth and Chongqing Jieqing Youth of China, with a focus on biosensor technology.

Education

Doctoral Director, Shanghai Jiao Tong University, Chongqing Medical University

Professional Experience

  • Chief of National Key R&D Programs
  • 200+ papers published (Nature Electronics, Angew Chem)
  • 50+ national invention patents, 30+ Class II/III medical device certifications
  • First Prize, Optical Engineering Society of China (2023)

🔬 Research Experience

  • Biosensor technology
  • Medical multimodal sensing & digital healthcare innovation
  • Technology commercialization and standardization of medical devices

 

Publications

Three-dimensional flexible electronics using solidified liquid metal with regulated plasticity

  • Authors: Guoqiang Li, Mingyang Zhang, Sanhu Liu, Man Yuan, Junjie Wu, Mei Yu, Lijun Teng, Zhiwu Xu, Jinhong Guo, Guanglin Li, Zhiyuan Liu, Xing Ma
  • Journal: Nature Electronics
  • Year: 2023

5G-enabled ultra-sensitive fluorescence sensor for proactive prognosis of COVID-19

  • Authors: Jiuchuan Guo, Shuqin Chen, Shulin Tian, Ke Liu, Jian Ni, Ming Zhao, Yuejun Kang, Xing Ma, Jinhong Guo
  • Journal: Biosensors and Bioelectronics
  • Year: 2021

Nanomaterial labels in lateral flow immunoassays for point-of-care-testing

  • Authors: Jiuchuan Guo, Shuqin Chen, Jinhong Guo, Xing Ma
  • Journal: Journal of Materials Science & Technology
  • Year: 2021

Multi-task joint learning model for segmenting and classifying tongue images using a deep neural network

  • Authors: Qiang Xu, Yu Zeng, Wenjun Tang, Wei Peng, Tingwei Xia, Zongrun Li, Fei Teng, Weihong Li, Jinhong Guo
  • Journal: IEEE journal of biomedical and health informatics
  • Year: 2020

Multiplexed detection of biomarkers in lateral-flow immunoassays

  • Authors: Lei Huang, Shulin Tian, Wenhao Zhao, Ke Liu, Xing Ma, Jinhong Guo
  • Journal: Analyst
  • Year: 2020

Mr. Yiming Zhang | biosensor technology | Best Researcher Award

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Mr. Yiming Zhang | biosensor technology | Best Researcher Award

Yiming Zhang at University of Electronic Science and Technology of China, China

👨‍🎓 Profiles

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Summary

Mr. Yiming Zhang is currently pursuing his master’s degree in bioelectronics at the University of Electronic Science and Technology of China. His work focuses on biosensor technology, biomedical equipment, and chemical sensors.

Education

Master’s student, Bioelectronics, University of Electronic Science and Technology of China

Professional Experience

Mr. Yiming has developed a neural network-driven detection system for analyzing long afterglow images of serum amyloid A (SAA), improving point-of-care testing with high accuracy.

🔬 Research Experience

  • Biosensor technology
  •  Image processing in biomedical applications
  • Neural network-driven analysis

 

Publications

A general approach for inferring the ancestry of recent ancestors of an admixed individual

  • Authors: Yiming Zhang, Haotian Zhang, Yufeng Wu
  • Journal: Proceedings of the National Academy of Sciences
  • Year: 2024

Joint inference of ancestry and genotypes of parents from children

  • Authors: Yiming Zhang, Yufeng Wu
  • Journal: iScience
  • Year: 2022

Inferring the ancestry of parents and grandparents from genetic data

  • Authors: Jingwen Pei, Sergei L. Kosakovsky Pond, Yiming Zhang, Rasmus Nielsen, Yufeng Wu
  • Journal: PLOS Computational Biology
  • Year: 2020

Energy-aware page replacement and consistency guarantee for hybrid NVM–DRAM memory systems

  • Authors: Zhan, J., Zhang, Y., Jiang, W., Yang, J., Li, L., Li, Y.
  • Journal: Journal of Systems Architecture
  • Year: 2018

Data management for automotive ECUs based on Hybrid RAM-NVM main memory

  • Authors: Yang, J., Zhan, J., Zhang, Y., Jiang, W., Li, L., Zhu, L., Tang, X.
  • Journal: Proceedings of the 13th International Conference on Embedded Software and System (ICESS 2016)
  • Year: 2017

Dr. Raandhir Singh Baghel | Multi-Object Tracking | Best Researcher Award

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Dr. Raandhir Singh Baghel | Multi-Object Tracking | Best Researcher Award

Doctorate at Poornima University, India

👨‍🎓 Profiles

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Orcid

Google Scholar

👩‍🏫 Teaching Experience

  • Associate Professor at Poornima University, Jaipur (2022 – Present)
  • Assistant Professor at Poornima University, Jaipur (Jun 2018 – Present)
  • Assistant Professor at Pratap Institute of Technology and Science, Sikar (Oct 2012 – Dec 2017)
  • Center Superintendent for Rajasthan Technical University Examinations (Apr 2014 – Sep 2017)
  • Coordinator for B.Tech. First-Year (Jul 2016 – Dec 2017)
  • Lecturer at Lakshmi Narain Academy of Technology, Gwalior (2010 – 2011)

Ph.D. Scholar Supervised

  • Bhoodrev Kharra (Thesis: “Health-Related Physical Fitness and Anthropometric Measurement Status of School Students”)

🔬 Research Experience

Five years as a full-time Research Scholar (Ph.D.) at Jiwaji University, Gwalior (2008 – 2013)

 📚 Educational Qualifications

  • Ph.D. in Applied Mathematics, Jiwaji University, Gwalior (2013)
  • M.Sc. in Mathematics, Jiwaji University, Gwalior (2007)
  • B.Ed. in Science, Jiwaji University, Gwalior (2005)
  • B.Sc. in Mathematics, Jiwaji University, Gwalior (2001)

💻 Computer Proficiency

  • Operating System: Windows
  • Software: Matlab, Mathematica, LaTeX, MS Office
  • Programming Language: C

 

Publications

Rainfall Seasonality Changes over India Based on Changes in the Climate

  • Authors: Randhir Singh Baghel, Govind Prasad Sahu
  • Journal: International Journal of Geological and Environmental Engineering
  • Year: 2024

A Complex Dynamical Study of Spatiotemporal Plankton-Fish Interaction with Effects of Harvesting

  • Authors: Surabhi Pareek, Randhir Singh Baghel
  • Journal: Iranian Journal of Science
  • Year: 2024

Influence of nanoparticles on the spatiotemporal dynamics of phytoplankton-zooplankton interaction system

  • Authors: Surabhi Pareek, Randhir Singh Baghel
  • Journal: International Journal of Biomathematics
  • Year: 2024

Unveiling the Mathematical Essence of Machine Learning: A Comprehensive Exploration

  • Authors: Randhir Singh Baghel
  • Journal: International Journal of Mathematical and Computational Sciences
  • Year: 2024

Jeffery slip fluid flow with the magnetic dipole effect over a melting or permeable linearly stretching sheet

  • Authors: Krishna Agarwal, Randhir Singh Baghel, Amit Parmar, Amit Dadheech
  • Journal: International Journal of Applied and Computational Mathematics
  • Year: 2024

Dr. Sunjung Kim Thao | Vision and Language | Best Innovation Award

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Dr. Sunjung Kim Thao | Vision and Language | Best Innovation Award

Doctorate at University of Central Arkansas, United States

👨‍🎓 Profiles

Scopus

Education

  • Ph.D. in Speech Language Hearing Sciences, University of Florida (2012)
  • M.A. in Speech Language Pathology, Ewha Women’s University, Korea (2005)
  • B.A. in Psychology, Ewha Women’s University, Korea (2003)

🏥 Clinical Experience

Speech-Language Pathologist at Kim Wha Soo Speech-Language Clinic, Seoul, Korea (2005-2007)

🔬 Research Interests

Dr. Thao’s research focuses on enhancing language and literacy skills in children, particularly those with reading difficulties. Her studies promote inclusive education and community engagement through innovative service-learning projects.

🏆 Honors & Awards

  • Emerging Dyslexia Researcher Award, International Dyslexia Association (2017)
  • Graduate Research Fellowship, University of Florida (2011-2012)
  • Certificate of Achievement for Outstanding Academic Accomplishment, University of Florida (2010)

🌐 Professional Affiliations

  • Licensed Speech-Language Pathologist, Arkansas
  • Certification of Clinical Competence in Speech Language Pathology, ASHA
  • Member of the Asia Pacific Society of Speech, Language and Hearing (2022-Present)

 

Publications

Multimodal learning: How task types affect learning of students with reading difficulties

  • Authors: Thao, S.K., Lombardino, L.J., Tibi, S., Gleghorn, A.
  • Journal: Clinical Archives of Communication Disorders
  • Year: 2022

Indexing effects of phonological representational strength on rapid naming using rime neighborhood density

  • Authors: Wiseheart, R., Kim, S., Lombardino, L.J., Altmann, L.J.P.
  • Journal: Applied Psycholinguistics
  • Year: 2019

Multimedia learning: Contributions of learners’ verbal abilities and presentation modalities

  • Authors: Kim, S., Lombardino, L.J.
  • Journal: International Journal of Learning, Teaching and Educational Research
  • Year: 2019

Exploring Text and Icon Graph Interpretation in Students with Dyslexia: An Eye-tracking Study

  • Authors: Kim, S., Wiseheart, R.
  • Journal: Dyslexia
  • Year: 2017

Simple sentence reading and specific cognitive functions in college students with dyslexia: An eye-tracking study

  • Authors: Kim, S., Lombardino, L.J.
  • Journal: Clinical Archives of Communication Disorders
  • Year: 2016

Assoc Prof Dr. Judit Bayer | Emerging Trends | Best Researcher Award

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Assoc Prof Dr. Judit Bayer | Emerging Trends | Best Researcher Award

Judit Bayer at Budapest Business University, Germany

Profiles

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Summary

Assoc. Prof. Dr. Judit Anna Bayer is a leading expert in media law and policy research, focusing on disinformation, freedom of expression, and strategic litigation. With a strong commitment to academic excellence and practical impact, she contributes significantly to European legal frameworks.

Education

  • LLM, University of Münster (Expected 2024)
  • PhD, Eötvös Loránd University, Hungary (2005)
  • Certificate, Doctoral Support Program, Central European University (2002)
  • Legal Degree, Eötvös Loránd University, Hungary (1998)

💼 Professional Experience

  • Kantar Belgium: Participant, “Monitoring Framework for the Code of Practice on Disinformation” (2023-2024)
  • European Parliament: Project Leader, “The Fight Against Disinformation” (2021); “Disinformation Impact on Rule of Law” (2020-2021)
  • European Commission: Project Leader, “Strategic Lawsuits Against Public Participation (SLAPP)” (2020-2021)
  • University of Münster: Co-teaching AI, Human Rights, and Ethics (2020-present)
  • Budapest Business University: Associate Professor, Faculty of International Relations (2016-2020)

🔬 Research Interests

  • Disinformation and its impact on democracy
  • Media law and freedom of expression
  • Strategic litigation and public participation
  • AI and ethics in legal contexts

🛠️ Skills

  • Scientific project coordination
  • Policy research and consulting
  • Editing academic texts
  • Leadership in academic initiatives

 

Publications

The European response to Russian disinformation in the context of the war in Ukraine

  • Authors: Judit Bayer
  • Journal: Hungarian Journal of Legal Studies
  • Year: 2024

The place of content ranking algorithms on the AI risk spectrum

  • Authors: Judit Bayer
  • Journal: Telecommunications Policy
  • Year: 2024

Procedural rights as safeguard for human rights in platform regulation

  • Authors: Judit Bayer
  • Journal: Policy & Internet
  • Year: 2022

A Public Health Research Agenda for Managing Infodemics: Methods and Results of the First WHO Infodemiology Conference

  • Authors: Neville Calleja; AbdelHalim AbdAllah; Neetu Abad; Naglaa Ahmed; Dolores Albarracin; Elena Altieri; Julienne N Anoko; Ruben Arcos; Arina Anis Azlan; Judit Bayer et al.
  • Journal: JMIR Infodemiology
  • Year: 2021

High-impact hate speech by persons of authority: A lower threshold needed?

  • Authors: Judit Bayer
  • Journal: Hungarian Journal of Legal Studies
  • Year: 2021

Assist Prof Dr. Anna Szczerba-Turek | Surveillance | Research Impact Award

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Assist Prof Dr. Anna Szczerba-Turek | Surveillance | Research Impact Award

Anna Szczerba-Turek at University of Warmia and Mazury, Poland

Profiles

Scopus

Orcid

Summary

Assist Prof Dr. Anna Szczerba-Turek is a dedicated researcher with expertise in microbiology, zoonotic diseases, and veterinary sciences. Based at the University of Warmia & Mazury since 2004, she has significantly contributed to the field with research on pathogenic Escherichia coli and its impact on wildlife and humans. Her recent studies focus on understanding zoonotic transmission, particularly Shiga toxin-producing strains. Alongside her research, she is highly active in peer reviewing manuscripts, reflecting her commitment to advancing the scientific community.

Education

Assist Prof Dr. Anna Szczerba-Turek earned her PhD in Epizootiology from the University of Warmia and Mazury in Olsztyn, Faculty of Veterinary Medicine, located in Olsztyn, Poland. Her doctoral studies spanned from October 1, 2004, to January 21, 2009. Prior to this, she obtained her MSc in Biotechnology from the Intercollegiate Faculty of Biotechnology of the University of Gdansk and the Medical University of Gdansk (IFB UG & MUG) in Gdańsk, Poland, where she studied from October 1, 1997, to June 17, 2002.

💼 Professional Experience

  • University of Warmia & Mazury (2004–present)
    Researcher focused on microbiology, zoonotic diseases, and veterinary sciences.

🔬 Research Interests

  • Microbiology and Zoonotic Diseases
    Concentrating on Escherichia coli strains, particularly those with pathogenic potential like Shiga toxin-producing Escherichia coli (STEC) from wildlife such as wild boars, deer, and foxes.
  • Food Safety and Veterinary Sciences
    Evaluating the prevalence of zoonotic bacteria in livestock and companion animals, contributing to studies in food microbiology and antibiotic resistance

 

Publications

Prevalence of Aleutian Mink Disease Virus (AMDV) in Free-Ranging American Mink from Biebrza and Narew National Parks (Poland)—An Epidemiological Concern

  • Authors: Przywara, K., Siemionek, J., Jakubowski, T., Konczyk-Kmiecik, K., Szczerba-Turek, A.
  • Journal: Animals
  • Year: 2024

Shiga Toxin-Producing Escherichia coli in Faecal Samples from Wild Ruminants

  • Authors: Szczerba-Turek, A., Chierchia, F., Socha, P., Szweda, W.
  • Journal: Animals
  • Year: 2023

The Prevalence of Salmonella spp. in Two Arctic Fox (Alopex lagopus) Farms in Poland

  • Authors: Siemionek, J., Przywara, K., Szczerba-Turek, A.
  • Journal: Animals
  • Year: 2020

Fallow Deer (Dama dama) as a Reservoir of Shiga Toxin-Producing Escherichia coli (STEC)

  • Authors: Szczerba-Turek, A., Kordas, B.
  • Journal: Animals
  • Year: 2020

Shiga Toxin-Producing Escherichia coli Isolates from Red Deer (Cervus elaphus), Roe Deer (Capreolus capreolus) and Fallow Deer (Dama dama) in Poland

  • Authors: Szczerba-Turek, A., Siemionek, J., Socha, P., Lipczyńska-Ilczuk, K., Szweda, W.
  • Journal: Food Microbiology
  • Year: 2020