Ziyi Zhou | Biological Sensors | Best Researcher Award

Posted on by Global Sensor Awards

Best Researcher Award

Ziyi Zhou
Jiangxi Medical College, Nanchang University, China
Ziyi Zhou
Affiliation Jiangxi Medical College, Nanchang University
Country China
Documents 2
Subject Area Oncology, Tumor Biology, Exosome Research, Biological Sensors Environmental Carcinogenesis
Event Global Sensor Awards
ORCID 0009-0000-6766-3405

Ziyi Zhou is a postgraduate researcher in Oncology at Jiangxi Medical College, Nanchang University, whose academic work focuses on tumor microenvironment biology, exosome-mediated immune regulation, and the emerging role of microplastics in lung cancer pathogenesis. His educational and clinical training encompasses medicine, general practice, and oncology research. Through interdisciplinary investigations combining molecular oncology, environmental health sciences, and translational medicine, Zhou has contributed to understanding mechanisms of cancer progression and immune dysfunction. His research outputs include peer-reviewed publications, international conference presentations, and nationally recognized scientific communication initiatives.[1]

Abstract

This academic profile summarizes the educational background, clinical experience, research activities, and scholarly contributions of Ziyi Zhou. His work centers on molecular oncology, exosome biology, immune regulation, and environmental carcinogenesis. His published research identified a novel Aurora A-mediated exosomal signaling mechanism associated with T-lymphocyte apoptosis, while his ongoing investigations explore the presence and biological significance of microplastics in lung cancer tissues. Through conference presentations, peer-reviewed publication, and professional society participation, Zhou has demonstrated a growing contribution to contemporary cancer research and translational oncology.[1]

Keywords

Oncology; Tumor Microenvironment; Exosomes; Aurora A Kinase; T-Lymphocyte Apoptosis; Microplastics; Lung Adenocarcinoma; Environmental Carcinogenesis; Immune Regulation; Translational Medicine; NSCLC; Cancer Biology.

Introduction

Ziyi Zhou completed a Bachelor of Medicine degree from Gannan Medical University between 2013 and 2018 before undertaking standardized residency training in General Practice at the Affiliated Hospital of Jinggangshan University. Following clinical service as an attending physician, he transitioned into oncology-focused postgraduate research at Jiangxi Medical College, Nanchang University. This progression from clinical medicine to scientific investigation has enabled him to integrate patient-centered perspectives with mechanistic cancer research.[2]

Research Profile

Zhou’s primary research interests encompass tumor microenvironment dynamics, exosome-mediated signaling pathways, immune cell regulation, and environmental factors contributing to cancer development. His studies explore how cellular communication mechanisms influence disease progression and therapeutic outcomes. Recent work has also examined microplastic accumulation within pulmonary tumor tissues, contributing to a rapidly developing field investigating environmental contaminants and human health risks.[1]

  • Master’s candidate in Oncology at Jiangxi Medical College, Nanchang University.
  • Former attending physician in general practice.
  • Member of ESMO, CACA, and CSCO.
  • Presenter at ESMO Asia 2025 and national scientific meetings.
  • Research focus on cancer immunology and environmental oncology.

Research Contributions

One of Zhou’s notable contributions is the identification of an Aurora A-mediated mechanism that promotes exosomal secretion of miR-644a and subsequently induces T-lymphocyte apoptosis through the NOXA/p4E-BP1/MCL-1 signaling pathway. This work contributes to a broader understanding of tumor-associated immune suppression and provides insight into molecular pathways relevant to cancer progression.[1]

In addition, he conducted pioneering investigations into microplastic occurrence within peritumoral and tumor tissues of lung adenocarcinoma. These findings have generated interest in environmental exposures as potential contributors to carcinogenesis and disease progression. His systematic review and meta-analysis evaluating concurrent versus sequential chemoradiotherapy combined with immune checkpoint inhibitors in non-small-cell lung cancer further demonstrates his engagement with evidence-based oncology research.[3]

Publications

  • Zhou Z., Chen B., Zheng K., Wan D., and Kuang P. (2026). Aurora A-Mediated Exosomal Secretion of miR-644a Promotes T-Lymphocyte Apoptosis Through the NOXA/p4E-BP1/MCL-1 Pathway. Clinical and Experimental Pharmacology and Physiology, 53(6), e70132.
  • Characterization and Evaluation of Microplastics in Peritumoral and Tumor Tissues of Lung Adenocarcinoma. Poster Presentation, ESMO Asia Congress 2025.
  • Systematic Review and Meta-analysis of Concurrent versus Sequential Chemoradiotherapy Combined with Immune Checkpoint Inhibitors in NSCLC. National Conference Poster Presentation, 2025.

Research Impact

Although still at an early stage of his research career, Zhou’s work has demonstrated scientific relevance in both molecular and environmental oncology. His publication in a PubMed-indexed journal, participation in international conferences, and interdisciplinary approach illustrate an emerging research profile. Furthermore, his science communication activities addressing microplastics and cancer risk have contributed to public awareness and community engagement in cancer prevention topics.[1]

Award Suitability

Ziyi Zhou demonstrates several characteristics consistent with consideration for a Best Researcher Award nomination. These include original scientific contributions, interdisciplinary research engagement, publication in peer-reviewed international literature, active participation in professional societies, conference dissemination, and commitment to addressing emerging public health concerns. His combination of clinical experience and laboratory-based investigation provides a foundation for continued contributions to oncology and translational medical research.[1]

Conclusion

The academic profile of Ziyi Zhou reflects a developing researcher with expertise spanning medicine, oncology, immunology, and environmental health sciences. His work on exosome-mediated immune regulation and microplastic-associated carcinogenesis contributes to contemporary scientific discussions regarding cancer biology and disease prevention. Continued research activities and scholarly dissemination are expected to strengthen his impact within the field of oncology.

References

  1. Zhou, Z., Chen, B., Zheng, K., Wan, D., & Kuang, P. (2026). Aurora A-Mediated Exosomal Secretion of miR-644a Promotes T-Lymphocyte Apoptosis Through the NOXA/p4E-BP1/MCL-1 Pathway. Clinical and Experimental Pharmacology and Physiology, 53(6), e70132.https://doi.org/10.1111/1440-1681.70132
  2. ORCID. (2026). Ziyi Zhou – ORCID Record.https://orcid.org/0009-0000-6766-3405
  3. European Society for Medical Oncology (ESMO). (2025). ESMO Asia Congress Scientific Presentation Records.https://www.esmo.org

Li-Chung Pien | Biological Sensors | Best Researcher Award

Posted on by Global Sensor Awards

Best Researcher Award

Li-Chung Pien
Department of Nursing, College of Medicine, National Cheng Kung University (NCKU), Taiwan

Li-Chung Pien
Affiliation National Cheng Kung University (NCKU)
Country Taiwan
Scopus ID 54388391800
Documents 47
Citations 925
h-index 16
Subject Area Psychiatric Nursing, Occupational Health, Nursing Education, Biological Sensors
Event Global Sensor Awards
ORCID 0000-0002-4918-8935

Li-Chung Pien is a Taiwanese nursing scholar and researcher whose academic contributions span psychiatric nursing, occupational health, psychosocial workplace hazards, nursing education innovation, and healthcare workforce development. His research has focused on workplace violence, burnout, incivility, psychological capital, and AI-assisted nursing education. Through interdisciplinary collaborations and extensive publication activity in internationally indexed journals, he has contributed to evidence-based nursing practice and healthcare policy development.[1]

Abstract

Li-Chung Pien has established a multidisciplinary research profile combining psychiatric nursing, occupational health, nursing management, educational innovation, and healthcare workforce studies. His work addresses psychosocial workplace hazards affecting nurses and healthcare professionals while simultaneously advancing nursing education through artificial intelligence, simulation-based learning, and flipped classroom methodologies. Through national and international collaborations, funded research projects, editorial leadership, and peer-reviewed publications, he has contributed to strengthening evidence-based nursing practice and workforce well-being.[2]

Keywords

Psychiatric Nursing, Occupational Health, Nursing Education, Artificial Intelligence, Workplace Violence, Burnout, Psychological Capital, Workplace Incivility, Mental Health Nursing, Multilevel Analysis, Scale Development, Healthcare Workforce Research.

Introduction

The growing complexity of healthcare environments requires evidence-based approaches to improve workforce resilience, patient care quality, and nursing education. Li-Chung Pien’s research addresses these challenges through investigations into occupational psychosocial risks, workplace culture, mental health nursing, and technology-enhanced education. His work contributes to understanding the relationship between workplace conditions and nursing outcomes while supporting innovation in nursing training and professional development.[3]

Research Profile

Dr. Pien obtained a Bachelor of Science in Nursing from Taipei Medical University in 2001, a Master of Science in Psychiatric Nursing in 2009, and a Ph.D. in Health Policy and Management from National Taiwan University in 2016. His academic career includes appointments at Taipei Medical University and National Cheng Kung University, where he currently serves as Associate Professor in the Department of Nursing.[2]

  • Principal investigator of multiple national grant-funded projects.
  • Editorial Board Member of Journal of Nursing Management and BMC Nursing.
  • Reviewer for leading international nursing journals.
  • Research collaborator across Taiwan and international healthcare institutions.

Research Contributions

His research contributions focus on psychosocial occupational hazards among healthcare workers, including workplace violence, incivility, burnout, emotional exhaustion, and job satisfaction. He has investigated the impact of organizational environments on nursing retention and workforce sustainability. In parallel, he has pioneered educational initiatives utilizing generative artificial intelligence, chatbot-assisted learning, simulation-based instruction, and flipped classroom methodologies for psychiatric nursing education.[4]

  • AI-PsychLine project integrating generative AI and LINE Bot technology.
  • Research on workplace violence and occupational mental health.
  • Development and validation of nursing assessment scales.
  • Application of multilevel statistical analysis in healthcare research.
  • Evidence-based interventions for nurse resilience and psychological capital.

Publications

Dr. Pien has authored more than 35 peer-reviewed publications in SCI, SSCI, and Scopus-indexed journals. His work has appeared in internationally recognized journals including the Journal of Advanced Nursing, International Journal of Nursing Studies, Journal of Occupational and Environmental Medicine, International Journal of Mental Health Nursing, BMC Nursing, and Journal of Nursing Management.[5]

  • Journal of Advanced Nursing
  • International Journal of Nursing Studies
  • Journal of Occupational and Environmental Medicine
  • BMC Nursing
  • International Journal of Mental Health Nursing
  • Journal of Psychiatric and Mental Health Nursing

A notable recent publication examined workplace incivility and its association with nurses’ job satisfaction and turnover intentions in Taiwan.[6]

Research Impact

The impact of Dr. Pien’s work extends across nursing practice, workforce management, mental health promotion, and educational innovation. His findings have informed discussions regarding nurse retention, workplace safety, and psychosocial risk management. His research has also supported the adoption of digital technologies and AI-enabled learning tools within nursing education programs. These contributions are relevant to healthcare institutions seeking sustainable workforce development and improved clinical education outcomes.[3]

Award Suitability

Li-Chung Pien demonstrates qualifications aligned with the Excellence in Research Award category through sustained scholarly productivity, leadership of externally funded research projects, editorial service, interdisciplinary collaboration, and contributions to healthcare innovation. His integration of artificial intelligence into nursing education and his extensive research on occupational health challenges within healthcare settings represent notable examples of contemporary research addressing practical societal needs.[4]

Conclusion

Dr. Li-Chung Pien has developed a distinguished academic profile characterized by contributions to psychiatric nursing, occupational health research, workforce well-being, and nursing education innovation. Through extensive publication activity, collaborative research networks, and leadership in emerging educational technologies, he continues to contribute to advancing healthcare research and professional nursing practice in Taiwan and internationally.[1]

References

  1. National Cheng Kung University. (2026). Faculty Profile: Li-Chung Pien.
    https://www.ncku.edu.tw
  2. Li-Chung Pien. Academic and professional background information submitted for the International Research Awards on Sensing Technology nomination dossier.
  3. Research project summaries and occupational health nursing studies conducted through National Cheng Kung University and collaborating institutions.
  4. Ministry-funded educational innovation projects integrating generative AI, LINE Bot systems, simulation-based learning, and flipped classroom methodologies.
  5. Elsevier. (n.d.). Scopus author details: Li-Chung Pien, Author ID 54388391800. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=54388391800
  6. Bai, Tseng, Cheng & Pien. (2026). Workplace Incivility and Nurses’ Job Satisfaction and Leaving Intentions in Taiwan. Journal of Advanced Nursing.
    https://doi.org/10.1111/jan.70641

Mr. Jinlong Jiao | Biosensing | Best Scholar Award

Posted on by Global Sensor Awards

Mr. Jinlong Jiao | Biosensing | Best Scholar Award 

Mr. Jinlong Jiao, University of Shanghai for Science and Technology, China

Jinlong Jiao is a dedicated young researcher currently pursuing his postgraduate studies at the School of Health Science and Engineering, University of Shanghai for Science and Technology, under the supervision of Lecturer Tianlu Mo. He earned his bachelor’s degree in Engineering from Hebei University of Science and Technology in 2023. His primary research interests center on the development of Argonaute-based molecular diagnostic techniques and rapid nucleic acid detection methods, with a strong focus on applications in biomedical and food safety domains. Demonstrating significant academic promise, Jinlong has already published two first-author research articles in reputable journals—International Journal of Biological Macromolecules and Food Control. His early contributions to the field underscore his potential for impactful scientific advancement in molecular diagnostics.

Professional Profile:

ORCID

Summary of Suitability for Best Scholar Award: Jinlong Jiao

Jinlong Jiao is a promising early-career researcher whose academic trajectory and scientific contributions position him as a strong contender for the Best Scholar Award. After completing his bachelor’s degree in engineering in 2023 from Hebei University of Science and Technology, he embarked on postgraduate research at the University of Shanghai for Science and Technology, under the mentorship of Lecturer Tianlu Mo.

👨‍🎓 Education

  • 🎓 Bachelor’s Degree in Engineering
    Hebei University of Science and Technology (Graduated in 2023)

  • 🎓 Postgraduate Student
    School of Health Science and Engineering, University of Shanghai for Science and Technology
    🧑‍🏫 Under the guidance of Lecturer Tianlu Mo

💼 Work/Research Experience

  • 🧪 Postgraduate Researcher
    University of Shanghai for Science and Technology
    Focus Area:
    🔬 Argonaute-based molecular diagnosis
    ⚡ Rapid nucleic acid detection

🏆 Achievements

  • ✍️ First Author Publications:

    • 📘 International Journal of Biological Macromolecules

    • 📗 Food Control

    These reflect significant contributions to molecular diagnostics and bioengineering.

🎖️ Awards & Honors

  • 🥇 Published as First Author in two reputable international journals early in his academic career — an exceptional achievement for a postgraduate.

  • 🌟 Recognized for innovative research in nucleic acid detection technologies.

Publication Top Notes:

Emerging Argonaute-based biosensing systems for food safety detection: Current advances and further prospects

Glycyrrhiza pallidiflora Polysaccharide Ameliorates DSS-Induced Colitis by Protecting Intestinal Barrier Integrity

Towards new bioactive fluorine-containing 1,3,4-oxadiazole-amide derivatives: synthesis, antibacterial activity, molecular docking and molecular dynamics simulation study

Label free immunochromatographic sensor based on TCBPE for the detection of Acidovorax citrulli in Cucurbitaceae plants

Programmable and ultra-efficient Argonaute protein-mediated nucleic acid tests: A review

Combination of nucleic acid amplification and CRISPR/Cas technology in pathogen detection