Jianjun Jiao | Mathematics | Best Researcher Award

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Prof. Dr. Jianjun Jiao | Mathematics | Best Researcher Award

Guizhou University of Finance and Economics China

Jian-Jun Jiao, Ph.D., is a distinguished Professor of Applied Mathematics at the School of Mathematics and Statistics, Guizhou University of Finance and Economics, China. With a robust academic career spanning over a decade, he has made significant contributions to differential equations and mathematical modeling in biological and ecological systems. His research, widely recognized in the academic community, has led to over 100 peer-reviewed publications and nearly 2000 citations.

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Education 🎓

  • Ph.D. in Applied Mathematics – Dalian University of Technology, May 2008
  • M.S. in Fundamental Mathematics – Guangxi Normal University, June 2005
  • B.S. in Mathematical Education – Shaoyang University, July 1997

Professional Experience 🌍

  • Professor, School of Mathematics and Statistics, Guizhou University of Finance and Economics (2008–Present)
  • Research/Teaching Assistant, Guizhou University of Finance and Economics (2006–2008)
  • Postdoctoral Research Associate, Applied Mathematics, Huazhong University of Science and Technology (2009–2011)

Research Interests 🔬

  • Theories of Differential Equations
  • Mathematical Modeling in Biology, Epidemics, and Ecology

Honors and Awards 🏆

  • Communication Review Expert, National Science Foundation of China (2013–Present)
  • Senior Professional & Technical Title Evaluation Expert, Guizhou Province (2019–Present)
  • Provincial Management Expert, Guizhou Province (2019)
  • Core Expert, Guizhou Province (2021)

Publications Top Notes: 📚

Jiao, J., Liu, Z., Cai, S. (2020). Dynamics of an SEIR model with infectivity in incubation period and homestead-isolation on the susceptible. Applied Mathematics Letters, 107, 106442. DOI

Jiao, J., Quan, Q., Dai, X. (2022). Dynamics of a new impulsive predator–prey model with predator population seasonally large-scale migration. Applied Mathematics Letters, 132, 108096. DOI

Jiao, J., Liu, Z., Li, L., Nie, X. (2019). Threshold dynamics of a stage-structured single population model with non-transient and transient impulsive effects. Applied Mathematics Letters, 97, 88-92. DOI

Jiao, J., Chen, L., Cai, S., Wang, L. (2010). Dynamics of a stage-structured predator–prey model with prey impulsively diffusing between two patches. Nonlinear Analysis: Real World Applications, 11, 2748-2756. DOI

Jiao, J., Cai, S., Chen, L. (2011). Analysis of a stage-structured predator-prey system with birth pulse and impulsive harvesting at different moments. Nonlinear Analysis: Real World Applications, 12, 2232-2244. DOI

Modelling and analysis of periodic impulsive releases of the Nilaparvata lugens infected with wStri-Wolbachia

Survival Analysis of a Predator–Prey Model with Seasonal Migration of Prey Populations between Breeding and Non-Breeding Regions

Survival analysis of a stochastic impulsive single-species population model with migration driven by environmental toxicant

Vikram Jadhav | Chemistry and Materials Science | Best Researcher Award

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Mr. Vikram Jadhav | Chemistry and Materials Science | Best Researcher Award

Research Scholar MVP Samaj’s K K Wagh ASC College Pimpalgaon (B) 422209, Nashik, Maharashtra (India) India

Vikram R. Jadhav is a dedicated researcher and educator specializing in Physical Chemistry and Nanotechnology. With over 12 years of teaching experience, he has significantly contributed to academia and research. His work spans across multiple domains, including photocatalysis, nanomaterials, and environmental chemistry. His innovative contributions have led to numerous patents and publications in reputed international journals.

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Education 🎓

Vikram R. Jadhav holds an M.Sc. in Physical Chemistry from the University of Pune. He has successfully qualified several prestigious competitive exams, including IIT-JAM, CSIR-JRF (AIR-46), UGC-JRF (AIR-76), SET, GATE, TIFR (GS), MPSC (Poly. Lect.), and G-SET. Currently, he is pursuing his Ph.D. at Pune University, further advancing his expertise in nanotechnology and chemistry.

Experience 🌟

With over 12 years of teaching experience, Vikram R. Jadhav has served as a faculty member at K. K. Wagh Arts, Commerce, and Science Colleges at multiple locations since 2013. His commitment to education and research has helped mentor numerous students in the field of chemistry and materials science.

Research Interests 🌍

His research focuses on nanomaterials, green synthesis, photocatalysis, drug delivery systems, and environmental remediation. He has extensively worked on biosynthesized nanoparticles, water purification, and novel nanomaterial applications in healthcare and environmental science.

Awards & Recognitions 🏆

Vikram R. Jadhav has received numerous accolades for his research contributions. His work has been widely recognized in academia, securing patents for innovative technologies such as bee venom nanoparticles, photocatalytic water purifiers, and digital pH sensors. His scholarly contributions have earned him significant citations and a strong h-index in scientific research.

Patents 💼

He holds multiple patents, including:

  • Bee Venom Nanoparticles and Process to Prepare Thereof
  • An Automatic Polyhouse Structure
  • Apparatus for Isolation and Recovery of Chemical Compounds
  • Photocatalytic Water Purifier
  • Digital pH and Nutrient Sensor Device

Publications Top Notes: 📝

Vikram R. Jadhav has published extensively in high-impact journals, with over 375 citations, an h-index of 9, and an i10-index of 9. Some of his key publications include:

Efficient Photodegradation of Methylene Blue Dye Using Biogenic Copper Doped Zinc Oxide (Cu@ZnO) Photocatalyst Under Ultra-visible Light Irradiation, Top Catal (2025)

In vitro cytotoxicity assessment of biosynthesized Apis mellifera bee venom nanoparticles (BVNPs) against MCF-7 breast cancer cell lines, Discover Nano (2024)

Honey bee venom loaded nanomaterials: A promising avenue for therapeutic delivery, Nano-Structures & Nano-Objects (2024)

Economic and commercial aspects related to nanotechnology-based sensors, Nanotechnology-Based Sensors for Detection of Environmental Pollution, Elsevier (2024)

Recent advances in nanomaterial-based drug delivery systems, Nano-Structures & Nano-Objects (2024)

Polyol-mediated zinc oxide nanoparticles using the refluxing method as an efficient photocatalytic and antimicrobial agent

Role of Moringa oleifera on Green Synthesis of Metal/Metal Oxide Nanomaterials

Green Synthesized Calcium Oxide Nanoparticles (CaO NPs) Using Leaves Aqueous Extract of Moringa oleifera and Evaluation of Their Antibacterial Activities

Akinwumi Sharimakin | Economics, Econometrics and Finance | Best Researcher Award

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Dr. Akinwumi Sharimakin | Economics, Econometrics and Finance | Best Researcher Award

Academic staff Adeyemi Federal University of Education,Ondo Nigeria

SHARIMAKIN Akinwumi is a distinguished economist and senior lecturer at Adeyemi Federal University of Education, Ondo, Nigeria. With extensive experience in teaching, research, and academic leadership, he has contributed significantly to the field of economics. His expertise spans financial inclusion, employment economics, and poverty reduction, with numerous publications in both national and international journals.

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Education 🎓

  • Ph.D. in Economics – Obafemi Awolowo University, Ile-Ife (2021)
  • M.Phil. in Economics – Obafemi Awolowo University, Ile-Ife (2017)
  • M.Sc. in Economics – University of Ibadan, Ibadan (2003)
  • B.Sc. (Ed.) Economics (Second Class Upper) – Ondo State University, Ado-Ekiti (1999)

Experience 🌟

SHARIMAKIN Akinwumi has over two decades of experience in academia and research. He began his career as a class teacher during his NYSC service at Government Day Secondary School, Maiadua, Katsina State (1999-2000). He later served as a part-time lecturer at Rufus Giwa Polytechnic, Owo (2002-2005), and The Polytechnic, Ibadan (2004-2006). Since 2007, he has been a faculty member at Adeyemi Federal University of Education, Ondo, rising through the ranks to his current position as Senior Lecturer in the Department of Economics.

Research Interests 📚

His research focuses on financial inclusion, poverty reduction, employment economics, and economic well-being. He has examined topics such as the impact of alternative employment arrangements, economic autonomy, and deprivation on well-being and health.

Awards & Recognitions 🏆

  • Best Graduating Student – Department of Economics Education, Ondo State University, 1998/1999
  • Award of Excellence – Association of Students of Arts and Social Sciences (ASASS), Adeyemi Federal University of Education, 2019 & 2022
  • Merit Award – Nigerian Economics Student Association (NESA), 2022

Publications Top Notes: 📰

Sharimakin, A. & Idachaba, A. D. (2024). “Analysis of connectivity between economic autonomy, employment-type, and relationship style within households.” Journal of Social and Economic Development (Springer Publishing-Scopus).

Sharimakin, A. & Igbekele, O. F. (2008). “Labour Issues in Privatization and Monetization Policies in Nigeria.” In Babatolu, J.S. & Ikuejube, G. (eds.), Perspectives on Contemporary Socio-Political and Environmental Issues in Nigeria, Alafas Nigeria Company.

Does environmental quality respond (a) symmetrically to (in) formal economies? Evidence from Nigeria

Asymmetric and Threshold Effect of Military Expenditure on Economic Growth: Insight from an Emerging Market

Improvisation of Instructional Materials for Teaching and Learning of Economics in Nigerian Senior Secondary Schools

Financial Inclusion in Ondo State, Nigeria: Determinants and Its Impact on Poverty

Access to Finance, Indigenous Technology and Food Security in Nigeria: Case Study of Ondo Central Senatorial District

Deprivation and subjective well-being: implication on health

Microfinance bank in Nigeria: operating environment, sustainability, and welfare impact

Lakshmi narasimhan Srinivasagopalan | Computer Science | Excellence in Scientific Innovation Award

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Mr. Lakshmi narasimhan Srinivasagopalan | Computer Science | Excellence in Scientific Innovation Award

Senior Technical lead Incedo United States

A seasoned Technology Evangelist with over 16 years of experience in digital transformation, enterprise solution architecture, and program management. Adept at leading large-scale IT projects, designing innovative solutions, and driving business transformation across healthcare, insurance, and technology industries. Recognized for expertise in cloud computing, DevOps, and Agile methodologies, delivering scalable enterprise applications with a focus on regulatory compliance (HIPAA) and process automation.

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🎓 Education

  • MBA in Finance & Financial Management Services – National Institute of Business Management (2010)
  • Masters in Information Technology – Bishop Heber College, Trichy (2007)
  • Bachelor of Computer Science – Urumu Dhana Lakshmi College, Trichy (2005)

💼 Professional Experience

  • .Net Full Stack Developer, Moola, Texas, USA (2023 – Present) – Developed financial advisory applications integrating Angular and .Net Core, optimizing performance and database queries.
  • Senior .Net Lead, Momentum (Parallon), USA (2022 – 2023) – Led insurance data management system, implementing Azure Functions for real-time processing.
  • Sr. Technical Lead/Architect, Billing Center Integration (Amerisure), USA (2022) – Designed scalable API gateways for microservices communication.
  • Sr. Technical Lead, Lease Plan, USA (2021 – 2022) – Developed fleet management solutions using MVC frameworks and Angular.
  • Sr. Developer/Sr. Technical Lead, Standard Chartered Bank (2019 – 2021) – Managed critical banking operations architecture ensuring compliance.

🔬 Research Interests

Expertise in healthcare technology, cloud architecture, DevOps, artificial intelligence (AI), predictive analytics, and blockchain. Focused on leveraging technology for insurance risk assessment, premium pricing optimization, and healthcare system efficiency.

🏆 Awards & Honors

  • Global Recognition Award – GRA (2024)
  • Indian Achievers Award – IAF (2024)
  • International Research Excellence and Best Paper Award – SCIFAX (2024)
  • Business Community Award – Professional of the Year (2023)
  • Economic Development Award for Excellence in Healthcare (2021)
  • Outstanding Accomplishment – Cognizant (2019)
  • Star Team Award – TCS (2013)

📚 Publications Top Notes:

Predictive Analytics for Healthcare Insurance Risk Assessment Using Ensemble Learning Models – ISCSITR-IJCA (2024) 🔗

Reinforcement Learning for Optimizing Healthcare Insurance Premium Pricing – IJCET (2024) 🔗

Enhancing Health Insurance Portals: Development and Maintenance of Multi-Portal Architecture – IJSR (2024) 🔗

Optimizing RM Solutions for Small Business Health Care Benefits – IJSR (2024) 🔗

Leveraging Technology for Healthcare Improvement: The Barrier Tracking Tool (BTT) – IJSR (2024) 🔗

The Impact and Future of Computer Applications in Various Sectors using the IoT concept of Augmented Reality

Examining the Link Between Healthcare Coverage Structures and Quality Standards for Achieving Sustainable Long-Term Health Outcomes

Enabling Interoperability in Healthcare Insurance Systems: A .NET Core-Based Framework for Flexible and Standardized Information Exchange

The Impact and Future of Computer Applications in Various Sectors using the IoT concept of Augmented Reality

Pan Guo | Engineering | Best Researcher Award

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Dr. Pan Guo | Engineering | Best Researcher Award

Associate Professor Zhengzhou University China

Guo Pan (born August 1985) is a senior engineer specializing in structural wind resistance, structural monitoring (inspection) and prevention, and bridge and culvert design. He is currently a representative professor at Zhengzhou University Yellow River Laboratory. With extensive experience in both academia and industry, he has contributed significantly to civil engineering research and infrastructure development.

Profile

Research Gate

Education 🎓

  • Ph.D. in Civil Engineering, Zhengzhou University (2014-2019) – Supervised by Professors Wang Dongwei and Li Shengli.
  • Master’s in Civil Engineering and Transportation, South China University of Technology (2007-2010) – Supervised by Professor Huang Peiyan.
  • Bachelor’s in Civil Engineering, Zhengzhou University (2003-2007).

Experience 💼

  • 2022/12 – Present: Representative Professor, Zhengzhou University Yellow River Laboratory.
  • 2019/11 – 2022/11: Postdoctoral Fellow, School of Water Conservancy and Civil Engineering, Zhengzhou University.
  • 2010/07 – 2019/10: Designer, Henan Transportation Planning and Design Institute Co., Ltd.

Research Interests 🔬

  • Structural wind resistance.
  • Structural monitoring, inspection, and prevention.
  • Bridge and culvert design.
  • Ice formation mechanisms on suspension bridges.
  • Aerodynamic interference effects on bridge structures.

Awards & Honors 🏆

  • 2021 Henan Province Science and Technology Progress Award (Second Prize) – Ranked 2nd for research on galloping vibration control and ice-coated sling pneumatic energy capture power generation in suspension bridge construction.

Publications Top Notes: 📚

Characteristic analysis of acoustic emission monitoring parameters for crack propagation in UHPC-NC composite beam under bending test– Construction and Building Materials, 2021.

Effects of aerodynamic interference on the iced straddling hangers of suspension bridges by wind tunnel tests – Journal of Wind Engineering and Industrial Aerodynamics, 2019.

Effect of end plates on transiting test for measuring the aerodynamic coefficient of structures using wind generated by a moving vehicle – Journal of Wind Engineering and Industrial Aerodynamics, 2019.

Fatigue Characteristics of Prestressed Concrete Beam under Freezing and Thawing Cycles– Advances in Civil Engineering, 2020.

Analysis of wind attack angle increments in wind tunnel tests for the aerodynamic coefficients of iced hangers – Advances in Structural Engineering, 2020.

Ductility and cracking behavior of UHPC-RC composite beam under bending test based on acoustic emission parameters

Energy harvesting from low-frequency vibrations of hanger using PVDF: An experimental study and performance analysis

Damage Identification of Hinge Joint in Hollow Slab Bridge Based on Model Updating and Orthogonal Matching Pursuit Algorithm

A FBG pull-wire vertical displacement sensor for health monitoring of medium-small span bridges

Damage evaluation of UHPC-GFRP hybrid beams based on acoustic emission technology under bending experiment

Xiang Ma | Computer Science and Artificial Intelligence | Best Researcher Award

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Mr. Xiang Ma | Computer Science and Artificial Intelligence | Best Researcher Award

Postgraduate sichuan unviersity China

📖 Xiang Ma is a student at Sichuan University specializing in Electronic Information and Control Engineering. His research focuses on developing innovative solutions for image super-resolution reconstruction in construction site scenarios. By leveraging computer vision, machine learning, and engineering principles, Xiang’s work aims to improve image quality, safety, and monitoring efficiency in real-world construction environments.

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Education

🎓 Xiang Ma is pursuing a degree in Electronic Information and Control Engineering at Sichuan University. With a strong academic foundation, he integrates principles of electronic systems, computer vision, and machine learning in his research.

Experience

🔧 Xiang Ma has contributed to three completed and ongoing research projects, including collaborations with CSCEC First Bureau Technology R&D Program and the Sichuan Province Major Special Project on Intelligent Manufacturing and Robotics. His work bridges academic research with industrial applications in safety and automation technologies for construction sites.

Research Interest

🔍 Xiang Ma is passionate about Image Super-Resolution Reconstruction, with a focus on enhancing low-resolution images affected by noise in construction scenarios. His research includes proposing the Lightweight Feature Enhancement Network (LFEN) to improve visual perception, edge detection, and noise immunity using advanced machine learning techniques.

Awards

🏆 Xiang Ma is applying for the Best Researcher Award for his contributions to image processing technologies in construction scenarios. His work has been recognized for its innovative approach to leveraging lightweight network designs for practical applications.

Publications Top Notes: 

📚 Xiang Ma has published three research papers in prestigious journals:

Liu, Y., Ma, X. & Cheng, J. (2024). Lightweight Feature Enhancement Network for Image Super-Resolution Reconstruction at Construction Sites. Arab Journal of Science and Engineering. Published Year: 2024. Cited by: 15 articles.

 

Vinita Dwivedi | Mathematics | Young Scientist Award

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Ms. Vinita Dwivedi | Mathematics | Young Scientist Award

Research Scholar Dr harisingh gour vishwavidhalaya India

Vinita Dwivedi is a passionate research scholar specializing in inventory models, supply chain management, and mathematical epidemic modeling. Currently pursuing her Ph.D. at Dr. Harisingh Gour Central University, Sagar, M.P., she has made notable contributions in applied mathematics through her research on pharmaceutical inventory and disease control strategies.

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🎓 Education

  • Ph.D. (Pursuing): Strategic Decision-Makings in Healthcare: A Mathematical Framework for Pharmaceutical Inventory and Diseases Control, Dr. Harisingh Gour Central University, Sagar.
  • M.Sc. in Mathematics (94.8%): Indira Gandhi National Tribal University, Amarkantak, M.P., 2019 (Gold Medalist).
  • B.Sc. in Mathematics, Physics, Chemistry (64.3%): APS University, Rewa, 2017.
  • 12th Grade (70%): G.S.C.S., Shahdol, 2014.
  • 10th Grade (68%): G.S.C.S., Shahdol, 2012.

💼 Experience

  • Assistant Professor: Department of Engineering Mathematics, Laxmi Narain College of Technology, Bhopal (August 2019–December 2021), with over 2 years and 5 months of teaching experience.

🔬 Research Interests

  • Inventory Models 📦
  • Supply Chain Management 🚛
  • Mathematical Epidemic Models 🧬

🏆 Awards

  1. Young Scientist Award (2024): Vigyan Parishad of India for Applied Mathematics.
  2. Gold Medal (2019): M.Sc. topper, IGNTU, Amarkantak.
  3. Third Position (2024): Best Paper Presentation in an interdisciplinary conference at Swami Vivekanand University, Sagar.
  4. First Position (2023): Best Paper Presentation on SIQRS model, Dr. Harisingh Gour University, Sagar.
  5. Organizer Recognition (2024): National Mathematics Day Celebration and Vedic Mathematics Celebration.

📚 Publications Top Notes: 

An Optimal Sustainable Production Policy for Imperfect Production System with Stochastic Demand, Price, and Machine Failure with FRW Policy Under Carbon Emission

Optimal control of rotavirus infection in breastfed and non-breastfed children

Efficiency of managing a stochastic inventory system in a declining market for non-instantaneous deteriorating items under partial backlogs

Optimizing healthcare supply chains strategically: analyzing the impact of COVID-19 on pharmaceutical inventory costs through the integration of evidence theory and hybrid …

Interval-valued optimal control strategies for vaccine distribution and infection awareness investment in preservation technology

Analyzing the impact of sustainability on EPQ model: Investigating price and sustainability level dependent demand using center-radius optimization techniques with …

Enhancing pharmaceutical supply Chains in health crises: Integrating fuzzy logic and particle swarm optimization

 

Majid Ali | Clinical Pharmacy | Outstanding Contributions in Academia Award

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Mr. Majid Ali | Clinical Pharmacy | Outstanding Contributions in Academia Award

Lecturer Sulaiman Al-Rajhi University Saudi Arabia

📚 Majid Ali is a highly accomplished pharmacy academic and clinical pharmacist with a distinguished career spanning teaching, research, and professional practice. He is a Fellow of the Higher Education Academy (UK) and actively contributes to the advancement of pharmacy education and healthcare.

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Education

🎓 Education Highlights:

  • Ph.D. (Ongoing): Artificial Intelligence in Higher Education, University of Malaysia, Malaysia (2022 – Present)
  • MSc: Clinical Pharmacy, University of London, UK (2006 – 2007)
  • BPharm: Pharmacy, Bahauddin Zakariya University, Pakistan (1999 – 2005)

Experience

👨‍🏫 Key Roles:

  • Lecturer in Pharmacology: College of Medicine, Suliman Al-Rajhi University, KSA (2022 – Present)
  • Lecturer in Clinical Pharmacy: University of Hertfordshire (Global Academic Foundation), Egypt (2021 – 2022)
  • Adjunct Fellow: University of Adelaide, Australia (2018 – 2021)
  • Clinical Pharmacist & Preceptor: King Abdullah Medical City, KSA (2015 – 2021)
  • Numerous additional roles in academia, clinical pharmacy, and mentorship spanning multiple institutions worldwide.

Research Interests

🔬 Research Focus:
Majid Ali’s research interests include artificial intelligence applications in higher education, clinical pharmacy practices, diabetes management, interprofessional education, and pharmacotherapeutics.

Awards

🏆 Awards & Recognition:

  • Tutor of the Year: Vice Chancellor Awards, University of Hertfordshire, UK (2012)
  • GCC Pharmacy Awards (2nd Position): Dubai, UAE (2016, 2017, 2018)
  • Faculty Quality Enhancement Award: Blended Learning Innovations, University of Hertfordshire, UK (2012)

Publications Top Notes: 

📖 Publications:
Majid Ali has authored several impactful studies in international journals, contributing significantly to pharmacy education and clinical practice. Key publications:

Impact of artificial intelligence on the academic performance and test anxiety of pharmacy students in objective structured clinical examination: a randomized controlled trial

Algorithms versus Educators: Comparison of AI-Generated and Human Tutor Feedback in Medical Education

Personalised Learning in Higher Education for Health Sciences: A Scoping Review

Reimagining pharmacoeconomics in the age of artificial intelligence: opportunities, challenges, and future directions

Synergistic Interventions for Silencing Oppositional Defiant Disorder and Dyslexia in a Child With Attention-Deficit/Hyperactivity Disorder: A Case Report From Albania

Tolerability and pharmacokinetic profile of DSM265, a novel plasmodium dihydroorotate dehydrogenase inhibitor, for the treatment of malaria: a systematic review and meta-analysis of randomized controlled trials.

The COX-2 Inhibitor that Went Wrong and Caused More Pain Than Relief: Valdecoxib

Exploring the effectiveness of pharmacy curriculum in Saudi Arabia in developing leadership skills among pharmacy students from their perspective: A mixed-methods study

Evaluation of Current Community Pharmacist Practice in Saudi Arabia: A Cross-sectional Study from Patients’ Perspective (PART I)

Views and Perceptions of Medical Representatives and Physicians about the Role of Medical Representatives and Pharmaceutical Advertisement in Saudi Arabia – A Pilot Study