Slot Deposit 5 Ribu via QRIS: Pilihan Tepat Buat Player Modal Tipis

Published on by ranebi9993

Buat banyak pemain yang ingin menikmati keseruan bermain slot tanpa harus mengeluarkan modal besar, slot deposit 5 ribu https://www.opgmaplehills.com/photogallery via QRIS jadi opsi yang sangat menarik. Metode ini bukan hanya murah, tapi juga cepat, praktis, dan bisa diakses semua orang. Dengan modal kecil, peluang menang tetap terbuka lebar karena banyak game slot saat ini memberikan fitur RTP tinggi, freespin, dan bonus menarik.

Kenapa Slot Deposit 5 Ribu via QRIS Banyak Dipilih?

1. Modal Minim, Tetap Bisa Main

Hanya dengan Rp5.000, pemain sudah bisa mencoba berbagai slot populer tanpa harus menunggu modal besar. Cocok buat pemula ataupun player yang cuma ingin bermain santai.

2. Proses Transaksi Super Cepat

Pembayaran melalui QRIS dikenal praktis. Cukup scan QR dari aplikasi e-wallet atau mobile banking, lalu dana langsung masuk. Tidak ada lagi proses ribet seperti memasukkan nomor rekening atau menunggu verifikasi lama.

3. Tidak Perlu Rekening Bank

Buat yang lebih nyaman memakai e-wallet, QRIS memungkinkan deposit tanpa harus memiliki rekening bank. Semua transaksi bisa dilakukan lewat dompet digital seperti OVO, DANA, maupun aplikasi pembayaran lainnya.

4. Aman dan Stabil

QRIS sudah terhubung ke sistem resmi dan terjamin keamanannya. Selain itu, transaksi jarang gagal, sehingga pemain bisa fokus menikmati permainan.

Keuntungan Bermain Slot Modal Tipis

1. Risiko Lebih Ringan

Dengan modal kecil, pemain bisa bermain tanpa tekanan. Ini cocok buat yang sedang belajar membaca pola slot atau mencoba berbagai provider.

2. Peluang Menang Tetap Ada

Meskipun deposit kecil, beberapa game slot menawarkan RTP tinggi yang membuat peluang cuan tetap terbuka. Player yang pintar memilih game bisa meraih scatter, freespin, hingga jackpot.

3. Cocok Buat Tes Pola dan Waktu Gacor

Modal 5 ribu cukup untuk melihat ritme permainan, mengecek apakah pola sedang bagus, dan menentukan apakah game layak lanjut atau tidak.

Tips Bermain Slot Deposit 5 Ribu Biar Tetap Menguntungkan

  • Pilih game dengan RTP tinggi agar peluang menang lebih besar.

  • Manfaatkan fitur spin kecil untuk memperpanjang waktu bermain.

  • Awali dengan pola ringan untuk melihat respon mesin slot.

  • Jangan terpancing emosi, karena modal kecil perlu strategi yang stabil.

  • Cari jam bermain yang tepat, biasanya banyak player merasakan waktu tertentu lebih gacor.

Kesimpulan

Slot deposit 5 ribu via QRIS adalah pilihan sempurna buat player modal tipis yang tetap ingin menikmati pengalaman bermain slot dengan nyaman dan aman. Dengan sistem pembayaran praktis, modal terjangkau, serta peluang menang yang masih besar, metode ini jadi salah satu favorit banyak pemain saat ini.

Ayse Tugba Yapici | Engineering and Technology | Best Research Article Award

Published on by Research Hypothesis

Ms. Ayse Tugba Yapici | Engineering and Technology | Best Research Article Award

Ms. Ayse Tugba Yapici | Engineering and Technology | Best Research Article Award | Doctoral Researcher | Kocaeli University | Turkey 

Ms. Ayse Tugba Yapici is an emerging scholar in electrical engineering whose research bridges intelligent energy systems, electric vehicles, and artificial intelligence–driven prediction technologies, reflecting her strong academic preparation and expanding scientific footprint. She earned her PhD in Electrical Engineering from Kocaeli University, where her doctoral studies centered on deep learning approaches for forecasting electric vehicle demand, charging behaviors, and integrated grid impacts. Prior to this, she completed her MSc in Electrical Engineering at Kocaeli University and her BSc in Electrical and Electronics Engineering at Bulent Ecevit University, progressively building a foundation in power electronics, system modeling, and smart energy infrastructures. Professionally, Ms. Ayse Tugba Yapici has gained significant experience as a doctoral researcher contributing to multiple academic studies involving EV charging station optimization, boosting converter analyses, AI-based prediction models, and data-driven approaches for regional transportation planning. Her research interests span electric vehicle technologies, charging station planning, induction heating systems, renewable energy integration, IoT-based intelligent mobility frameworks, and machine learning algorithms including LSTM, GRU, and MLR for performance forecasting. She possesses strong research skills in deep learning model development, Python-based simulation, DigSilent-based power system design, MATLAB/Simulink modeling, geographical data mapping, algorithm optimization, and statistical evaluation metrics such as R², MSE, MAE, and DTW. Her body of work includes multiple SCI and Scopus-indexed publications addressing EV growth prediction, secure IoT frameworks for autonomous taxis, and comparative analyses of deep learning methods for charging time estimation. Ms. Ayse Tugba Yapici has been recognized within academic circles for her contributions to advancing sustainable mobility solutions and has received commendations for her research productivity and multidisciplinary collaborations within Türkiye. Her work continues to support improved policy development, smarter grid integration, and future-ready electric mobility infrastructures. She remains actively involved in scholarly dissemination through conference participation, collaborative studies with engineering experts, and mentorship of junior researchers. Through her growing publication record, analytical expertise, and commitment to advancing intelligent transportation systems, Ms. Ayse Tugba Yapici demonstrates strong potential for continued impact in electrical engineering research, contributing to the broader goals of sustainable energy development, smart city transitions, and technology-driven societal advancement.

Profile: Scopus | ORCID

Featured Publications

  1. Yapici, A. T., Abut, N., & Erfidan, T. (2025). Comparing the effectiveness of deep learning approaches for charging time prediction in electric vehicles: Kocaeli example. Energies. Year: 2025

  2. Yapici, A. T., & Abut, N. (2025). Geleceğe yönelik elektrikli araç ve şarj istasyonu sayılarının LSTM ve GRU derin öğrenme yöntemleri kullanılarak tahmin edilmesi: Kocaeli ili örneği. Politeknik Dergisi. Year: 2025

  3. Yapici, A. T., Abut, N., & Yildirim, A. (2025). Future estimation of electric vehicles and charging stations: Analysis of Sakarya Province with LSTM, GRU and multiple linear regression approaches. Applied Sciences. Year: 2025

  4. Yapici, A. T., & Abut, N. (2025). An intelligent and secure IoT-based framework for predicting charging and travel duration in autonomous electric taxi systems. Applied Sciences. Year: 2025

  5. Yapici, A. T., & Abut, N. (2024). Elektrikli araç devresinde kullanılan boost dönüştürücünün analizine farklı yaklaşımlar. Black Sea Journal of Engineering and Science. Year: 2024

  6. Yapici, A. T., & Abut, N. (2024). Elektrikli araç şarj istasyonu konum tasarımında, DigSilent yazılımı kullanılarak Kocaeli Üniversitesi Umuttepe Kampüsü için örnek uygulama. Black Sea Journal of Engineering and Science. Year: 2024

  7. Yapici, A. T. (2024). Estimation of future number of electric vehicles and charging stations: Analysis of Sakarya Province with LSTM, GRU and MLR approaches. Applied Sciences. Year: 2024

 

Gibin Raju | Quantitative Hypothesis | Research Excellence Award

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Dr. Gibin Raju | Quantitative Hypothesis | Research Excellence Award

Dr. Gibin Raju | Quantitative Hypothesis | Research Excellence Award | Postdoctoral Researcher | Texas A&M University | United States

Dr. Gibin Raju is a dedicated engineering education researcher whose academic journey spans aerospace engineering, educational studies, and engineering education, shaping him into a multidisciplinary scholar committed to advancing STEM learning and research excellence. Dr. Gibin Raju completed his Ph.D. in Engineering Education at the University of Cincinnati, supported by a strong academic foundation that includes a Master’s in Educational Studies, a Master’s in Aerospace Engineering & Engineering Mechanics, and a Bachelor’s in Aerospace Engineering. His professional experience encompasses postdoctoral research at Texas A&M University, where he contributes to mixed-methods and multimodal studies, instructional innovation, grant development, and interdisciplinary collaborations advancing engineering design cognition, spatial visualization, AI-enhanced learning, and K–12 STEM education. Dr. Gibin Raju has served in multiple academic and community-centered roles, including STEM instructor, adjunct faculty, data researcher, and project collaborator on NSF- and IES-funded initiatives involving spatial skills, problem-solving behaviors, cognitive load measures, transformative learning, and inclusive STEM workforce development. His research interests include spatial visualization, engineering design processes, multimodal analytics, transformative learning, universal design for learning, teaming effectiveness, and STEM motivation, contributing to publications across Scopus-indexed journals and flagship conferences such as ASEE, FIE, CoNECD, and ICERI. Dr. Gibin Raju’s research skills span quantitative, qualitative, and mixed-methods analysis using advanced tools such as R, SPSS, SAS, MATLAB, and NVivo, supported by proficiency in experimental techniques such as eye-tracking, EEG, and think-aloud protocols. His awards and honors reflect academic excellence and leadership, including the Apprentice Faculty Grant from ASEE, the Presidential Medal for Graduate Student Excellence, the CEAS Graduate Student Engineer Award, the Graduate Leadership Award, the Innovation & Entrepreneurship Leadership Fellowship, and multiple graduate recognition awards. His service to academic communities includes developing innovative curricula, mentoring students, leading STEM outreach, designing AI-integrated instructional strategies, and contributing to proposal-writing efforts for federal grants supporting engineering education reform and workforce development. Dr. Gibin Raju continues to contribute meaningfully to research, teaching, and professional service, driven by a strong commitment to creating accessible, evidence-based learning environments and advancing global engineering education. With a rapidly expanding publication record, growing research collaborations, demonstrated leadership, and a clear vision for impactful scholarship, Dr. Gibin Raju is positioned to become a significant contributor and future leader in engineering education research.

Profile: Scopus | ORCID | Google Scholar

Featured Publications 

  1. Raju, G., Sorby, S., & Reid, C. (2025). Spatial skill impact on engineering design process: A comparative study of first- and final-year engineering students.

  2. Agarwal, J., & Raju, G. (2025). Establishing quality standards for empirical studies using mixed-methods designs in engineering education research.

  3. Raju, G. M., Feldkamp, P., & Gaskins, W. (2024). Factors shaping students’ attitude and persistence after participating in a summer physics course – A mixed methods study.

  4. Raju, G., Balart, T., Ligler, G., Shryock, K. J., & Brumbelow, K. (2025). Engineering the unexpected: Faculty strategies for navigating academic disruptions.

  5. Dogga, B., Raju, G., Louw, W., & Cohen, K. (2025). Fuzzy decisions on fluid instabilities: Autoencoder-based reconstruction meets rule-based anomaly classification.

  6. Raju, G., & Sorby, S. (2025). Exploring the impact of think-aloud protocol in engineering design problem solving.

  7. White, L. L. A., Raju, G., Watson, K., & Shryock, K. J. (2025). Critical thinking (mis)conceptions of first-year engineering students.

 

Francisco Matus | Environmental Science | Best Researcher Award

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Prof. Dr. Francisco Matus | Environmental Science | Best Researcher Award

Prof. Dr. Francisco Matus | Environmental Science | Best Researcher Award | Full professor | Universidad de La Frontera | Chile

Prof. Dr. Francisco Matus is a distinguished agronomist-soil scientist whose academic training began with an Agronomist degree from Pontificia Universidad Católica de Chile, followed by an M.Sc. in Soil Fertility and Plant Nutrition, and a Ph.D. in Agriculture and Environmental Sciences at Wageningen University. He has held senior academic appointments including full professor and Director of the Laboratory of Conservation and Dynamics of Volcanic Soils at Universidad de La Frontera in Temuco, Chile. His professional experience includes postdoctoral research at Carleton University (Canada) and leadership of doctoral programmes in Natural Resources Sciences, supplemented by advisory roles in national committees on soil fertility, nutrient dynamics, and climate-soil interactions. His research interests focus on pedogenesis, biogeochemistry, soil carbon and nitrogen cycles, and nutrient dynamics in volcanic soils and extreme ecosystems (including high-altitude and Antarctic environments). His technical skills include isotope-based soil-plant studies, experimental design and precision agriculture statistics, crop-soil modelling, and the application of advanced soil physical-chemical methods. He has received honours such as an invitation to the Intergovernmental Technical Panel of Soil Experts (FAO) and keynote recognition at international soil-biogeochemistry conferences, and he serves on editorial boards of major journals in soil science and nutrient cycling. In conclusion, Francisco Matus’s sustained record of leadership in research, high-impact publication, international collaboration and professional service positions him as a global authority in soil biogeochemistry and conservation, with strong potential to advance sustainable soil management, carbon sequestration and nutrient-cycling research at the international forefront.

Profile: Scopus | Google Scholar

Featured Publications 

  1. Matus, F. J. (2021). Fine silt and clay content is the main factor defining maximal C and N accumulations in soils: A meta-analysis. Scientific Reports, 11(1), 6438.

  2. Matus, F., Rumpel, C., Neculman-Cerdá, R., Panichini, M., & Mora, M. L. (2014). Soil carbon storage and stabilisation in andic soils: A review. Catena, 120, 102-110.

  3. Merino, C., Nannipieri, P., & Matus, F. (2015). Soil carbon controlled by plant, microorganism and mineralogy interactions. Journal of Soil Science and Plant Nutrition.

  4. Merino, C., Godoy, R., & Matus, F. (2016). Soil enzymes and biological activity at different levels of organic matter stability. Journal of Soil Science and Plant Nutrition.

  5. Orrego, R., Ávila, A., Meza, F., & Matus, F. (2014). Using a crop simulation model to select the optimal climate grid cell resolution: A study case in Araucanía Region. Journal of Soil Science and Plant Nutrition.

  6. Matus, F. (2014). Producing isotopically enriched plant, soil solution and rhizosphere soil materials over a few hours. Communication in Soil Science and Plant Analysis.

  7. Hidalgo-Moreno, C., Paz-Pellat, F., Báez, A., Etchevers, J. D., Velázquez, A. S., & Matus, F. (2022). Patrones de la distribución del carbono orgánico por fracciones de partículas primarias del suelo. Revista Terra Latinoamericana.

 

Laith Almaqableh | Business Hypotheses | Excellence in Research Award

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Assist. Prof. Dr. Laith Almaqableh | Business Hypotheses | Excellence in Research Award

Assist. Prof. Dr. Laith Almaqableh | Business Hypotheses | Excellence in Research Award | Assistant Professor of Finance & FinTech | Hashemite University | Jordan 

Assist. Prof. Dr. Laith Almaqableh is an accomplished academic and FinTech researcher whose work focuses on cryptocurrency markets, blockchain systems, financial inclusion, digital assets, and emerging financial technologies. He holds a Ph.D. in Finance from the University of South Australia, a Master’s degree in Finance from the University of Jordan, and a Bachelor’s degree in Accounting and Finance from Yarmouk University, demonstrating a strong academic foundation that supports his multidisciplinary expertise. Professionally, Assist. Prof. Dr. Laith Almaqableh serves as an Assistant Professor in the Department of Banking and Financial Sciences at The Hashemite University and has previously contributed as an Adjunct Professor at Princess Sumaya University for Technology and the American University of Madaba, in addition to teaching roles at the UniSA Business School. His industry experience includes several years as a senior accountant and administrative officer, which enriches his applied understanding of financial operations and risk mechanisms. His research interests span cryptocurrency pricing behavior, blockchain and distributed ledger technology, FinTech innovation, event-driven digital market dynamics, and the intersection of technology and financial risk, enabling him to contribute impactful insights to financial transformation research. His research skills include empirical financial modeling, econometric analysis, event-study design, blockchain analytics, and interdisciplinary data interpretation. Assist. Prof. Dr. Laith Almaqableh has published in reputable international journals and conferences, contributing peer-reviewed works on cryptocurrency market responses to global shocks, digital asset risk, and technology-driven financial patterns, achieving growing citation recognition. His contributions include publications in the International Journal of Information Management, Journal of Business Research, and FinTech-focused journals, along with conference presentations on blockchain market behavior. He has been actively involved in keynote speaking, training, and professional development programs through organizations such as the Arab Trainers Union, Arab Planning Institute, and International Arab Society of Certified Accountants, reflecting strong community engagement and leadership in financial technology education. His honors include serving as a certified trainer, keynote speaker, consultant, and academic mentor in multiple institutions, highlighting his commitment to capacity building and knowledge dissemination in the field. In conclusion, Assist. Prof. Dr. Laith Almaqableh stands out as a dedicated scholar whose teaching, research accomplishments, professional service, and interdisciplinary contributions position him as a leading figure in FinTech and digital asset research, demonstrating continuous growth, strong academic influence, and the potential for expanded global impact.

Profile:  ORCID | Scopus | Google Scholar

Featured Publications

  1. Almaqableh, L., Wallace, D., Pereira, V., Ramiah, V., Wood, G., Veron, J. F., Moosa, I., & Watson, A. (2023). Is it possible to establish the link between drug busts and the cryptocurrency market? Yes, we can. International Journal of Information Management.

  2. Almaqableh, L., Reddy, K., Ramiah, V., Pereira, V., Wallace, D., & Veron, J. F. (2022). An investigative study of links between terrorist attacks and the cryptocurrency market. Journal of Business Research.

  3. Almaqableh, L., Khasawneh, M., & Sahiner, M. (2025). Environmental news and Bitcoin market dynamics: An event study of global climate-related shocks. FinTech Journal.

  4. Massri, A., Al-Dwiry, M., & Almaqableh, L. (2025). Cryptocurrency market shocks: How major news events reshape risk-return dynamics in Bitcoin and Ethereum. Journal of Risk and Financial Management (Under review).

  5. Alsaad, A., & Almaqableh, L. (2025). Mobile money service quality and perceived financial risk: Empirical evidence from India. International Journal of Emerging Markets (Under review).

  6. Al-Syouf, R., Almaqableh, L., & Ramadan, A. (2025). FinTech innovation and its impact on the efficiency of Jordanian banks. FinTech and Digital Accounting Review (Under review).

  7. Almaqableh, L. (2018). The link between terrorist attacks and the cryptocurrency markets. 1st Perth Blockchain Conference, University of Western Australia.

 

Emrah Can | Medicine and Health Sciences | Best Researcher Award

Published on by Research Hypothesis

Prof. Dr. Emrah Can | Medicine and Health Sciences | Best Researcher Award

Prof. Dr. Emrah Can | Medicine and Health Sciences | Best Researcher Award | Professor| Istanbul University | Turkey

Prof. Dr. Emrah Can is a highly accomplished pediatrician and neonatology-focused clinician-scientist recognized for his extensive contributions to neonatal health, pediatric infectious diseases, neonatal sepsis, retinopathy of prematurity, and pediatric critical care. Prof. Dr. Emrah Can completed his medical training at Istanbul University Faculty of Medicine, followed by his medical specialization in Child Health and Diseases at Health Sciences University, İstanbul Bağcılar Training and Research Hospital, where he developed strong clinical expertise in neonatal nutrition, early sepsis biomarkers, high-risk neonatal monitoring, and pediatric intensive care. He progressed academically to the ranks of Associate Professor and Professor through consistent research productivity, clinical excellence, and mentorship. Throughout his career, Prof. Dr. Emrah Can has supervised numerous pediatric specialization theses focused on neonatal sepsis biomarkers, MRSA carriage among hospitalized children, melatonin levels in early sepsis, prognostic tools for pediatric traumatic brain injury, differentiation of lower respiratory tract infection and colonization in tracheostomized children, fetal malnutrition indicators, and hyperbilirubinemia-related risk factors, demonstrating his commitment to developing evidence-based pediatric protocols and training the next generation of pediatric specialists. His research interests include neonatal immunology, inflammation markers, nutritional interventions for premature infants, oxygen affinity biomarkers, neonatal thrombosis, and innovative hypothesis-driven models for predicting neonatal morbidity. His research skills include statistical analysis, advanced clinical data interpretation, hypothesis modeling, neonatal diagnostic model development, and interdisciplinary collaboration. Prof. Dr. Emrah Can has authored impactful publications in reputable journals such as Medical Hypotheses, International Ophthalmology, European Journal of Pediatrics, Pediatric Cardiology, and Journal of Paediatrics and Child Health, contributing significantly to early detection strategies for NEC, ROP, neonatal thrombosis, and hematologic alterations in neonates. His scientific memberships reflect his professional commitment, including active participation in the Pediatric Allergy and Asthma Academy Association, Turkish National Pediatric Association, Child Friends Association, and Turkish Neonatology Association. He has also served in academic administrative roles, including program head positions that highlight his leadership in medical education. Prof. Dr. Emrah Can has received recognition for his academic achievements, research contributions, and involvement in pediatric healthcare improvement initiatives. Overall, Prof. Dr. Emrah Can demonstrates exceptional clinical acumen, research innovation, collaborative engagement, and leadership in pediatric and neonatal medicine, positioning him as a scholar whose contributions continue to shape evidence-based neonatal care, advance scientific understanding of pediatric diseases, and improve health outcomes for vulnerable newborn populations.

Profile:  scopus | ORCID

Featured Publications

  1. Can, E. (2025). Development of a scoring model integrating inflammatory markers for predicting ROP in preterm neonates. International Ophthalmology.

  2. Can, E. (2025). Postnatal hemoglobin P50 as a surrogate marker for hypoxia-driven NEC in preterm infants: A mechanistic hypothesis. Medical Hypotheses.

  3. Can, E. (2025). Phototherapy modifies hematologic markers without inducing inflammation in neonates: A retrospective observational study. European Journal of Pediatrics.

  4. Can, E. (2025). Could parabiotics safely enhance immune maturation and mitigate NEC/sepsis in preterm neonates? Medical Hypotheses.

  5. Can, E. (2025). Early haemoglobin oxygen affinity as a hypothesis-generating marker for retinopathy of prematurity risk in preterm infants. Journal of Paediatrics and Child Health.

  6. Can, E. (2025). Neonatal portal vein thrombosis: A case series from a tertiary NICU. Pediatric Cardiology.

 

Nader Genedy | Medical Hypotheses | Best Researcher Award

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Dr. Nader Genedy | Medical Hypotheses | Best Researcher Award

Dr. Nader Genedy | Medical Hypotheses | Best Researcher Award | CRF Cardiology | University Hospital of Wales | United Kingdom 

Dr. Nader Genedy is an accomplished clinician–researcher whose work spans metabolic medicine, cardiology, geriatric care, and osteoporosis, integrating advanced academic training with extensive frontline clinical experience. Dr. Nader Genedy completed his medical degree at the University of Alexandria and progressed through multiple postgraduate qualifications, including MRCGP, MRCP(UK), MRCP(I), and specialist certification in acute internal medicine, enabling him to contribute meaningfully to both primary and specialist healthcare environments. Professionally, Dr. Nader Genedy serves as a GP with Special Interest in Osteoporosis and Geriatric Medicine, a Senior Research Fellow in Cardiology, and a Metabolic Medicine and Chemical Pathology Registrar, combining metabolic bone services, lipidology, endocrine disorders, and cardiovascular risk research with high standards of patient-centred care. His responsibilities extend to complex elderly care, DXA interpretation, risk-modelling analysis, and participation in multidisciplinary teams addressing metabolic and cardiovascular disorders. His research interests encompass atherosclerotic cardiovascular disease risk prediction, familial hypercholesterolaemia modelling, metabolic bone disease, cardiometabolic ageing, and biochemical diagnostics, with notable contributions to clinical trials such as RSA-PACE and metabolic therapeutics studies. Dr. Nader Genedy possesses advanced research skills, including statistical modelling, Cox regression, calibration analysis, SPSS/R processing, clinical dataset evaluation, and quality-improvement methodology, in addition to curriculum design, postgraduate teaching, and specialist question writing for MRCPUK examinations. His scholarly work includes conference presentations, co-authorship of national hyperlipidaemia management tools, and mentorship for postgraduate medical research candidates. Awards and honours recognising his excellence include the Bill Richmond First Prize from HEART UK, the Unsung Hero Award from the Inherited Metabolic Disease Service, multiple GREATix commendations for exemplary clinical service, and a patient feedback award for outstanding metabolic medicine contributions. Through his integrated roles in clinical care, research leadership, and academic assessment, Dr. Nader Genedy consistently demonstrates a strong commitment to advancing evidence-based practice, enhancing clinical education standards, and improving outcomes for complex elderly and cardiometabolic populations. In conclusion, Dr. Nader Genedy’s multifaceted expertise, dedication to research innovation, and ongoing contributions to both healthcare systems and academic scholarship establish him as a highly impactful medical professional whose work continues to influence patient care, clinical research, and postgraduate medical education.

Profile:  ORCID 

Featured Publications 

  1. Genedy, N., & Zouwail, S. (2025). ApoB/LDL-C discordance as a predictor of atherosclerotic cardiovascular disease in genetically confirmed heterozygous familial hypercholesterolemia: A hypothesis-generating cohort study. Journal of Clinical Lipidology.

  2. Genedy, N. (2024). Risk-modelling approaches for residual ASCVD in familial hypercholesterolaemia: An integrative clinical dataset analysis. Cardiometabolic Research Insights.

  3. Genedy, N. (2024). Metabolic bone disease assessment in primary care: Evaluating DXA utilisation and therapeutic optimisation. Journal of Osteoporosis and Geriatric Medicine.

  4. Genedy, N. (2023). Clinical implications of biochemical variability in lipidology clinics: A service-evaluation study. International Journal of Metabolic Medicine.

  5. Genedy, N. (2023). Post-CABG haemodynamic assessment: Inter-operator variability between USCOM and transthoracic echocardiography. Cardiovascular Clinical Methods Review.

  6. Genedy, N. (2022). Optimising hyperlipidaemia pathways: A quality-improvement initiative across multidisciplinary teams. British Journal of Clinical Pathway Innovation.

  7. Genedy, N. (2022). Clinical learning through biochemical case commentary: A structured model for postgraduate teaching. Medical Education Practice Journal.

 

Yuanheng Wang | Mathematics | Outstanding Scientist Award

Published on by Research Hypothesis

Prof. Yuanheng Wang | Mathematics | Outstanding Scientist Award

Prof. Yuanheng Wang | Mathematics | Outstanding Scientist Award | Professor | Zhejiang Normal University | China

Prof. Yuanheng Wang is a distinguished Chinese mathematician and professor at the School of Mathematical Sciences, Zhejiang Normal University (formerly Zhejiang where he has combined teaching, research, and academic administration for many years. He earned his doctoral degree in Mathematics from Shanghai Normal University, having earlier studied functional analysis and Banach space theory, and also spent time as a visiting scholar at the University of New South Wales in Australia. Over his long and productive career, he has taught a broad range of undergraduate and graduate courses — including real analysis, functional analysis, variational inequality theory, and the geometry of Banach spaces — and has supervised many master’s and doctoral students. As a researcher, Prof. Wang’s principal interests lie in nonlinear functional analysis, fixed-point theory, Banach space geometry, variational inequalities, and non-linear optimization, where he has developed and analyzed iterative methods, projection algorithms, and convergence theorems. His research skills include deep theoretical analysis, convergence proof techniques, hybrid iterative schemes, and the design of projection-based algorithms. Throughout his career, he has held leadership and service roles: he has served as a reviewer for Mathematical Reviews (USA) and contributed peer review for dozens of international journals, acted as vice-dean of the mathematics/information faculty at his university, and participated in minority-staff associations. He has received several honors, including the “First Ten Teachers in Students’ Minds” award at Zhejiang Normal University, the Zheng Xiaocang Prize, and membership in the 10th Zhejiang Provincial Committee of the Chinese People’s Political Consultative Conference. He has successfully led and completed multiple research grants at national and provincial levels, and his more than seventy published papers include over thirty indexed by SCI and Mathematical Reviews. Prof. Wang is also active in community engagement, mentoring students and promoting participation of ethnic minority faculty in academic life. In sum, Prof. Yuanheng Wang represents a rare blend of scholarly excellence, pedagogical dedication, and institutional leadership, deeply committed to advancing mathematical theory and nurturing future generations of researchers.

Profile:  ORCID 

Featured Publications

  1. Wang, Y. (2012). Strong Convergence Theorems for Asymptotically Weak G-Pseudo-Ψ-Contractive Non-Self-Mappings with the Generalized Projection in Banach Spaces. Abstract and Applied Analysis, 2012, Article ID 651304.

  2. Wang, Y. (2014). Strong Convergence Theorems for Common Fixed Points of an Infinite Family of Asymptotically Nonexpansive Mappings. Abstract and Applied Analysis, 2014, Article ID 809528.

  3. Wang, Y. (2016). Complement Theorem for Solutions of Two Congruence Systems .2016.

  4. Wang, Y. (2016). Convergence of Mann Iteration for Solutions of a Strongly Proliferating Operator Equation. 2016.

  5. Wang, Y. (2017). Approximation by an Iterative Algorithm for Generalized Equilibrium and Fixed Points of Asymptotically Nonexpansive Mappings].

  6. Wang, Y. (2017).Irrationality of the Square Root and a Rational Iteration Algorithm. 2017.

  7. Wang, Y. (2016). Convergence of a Layered Fixed-Point Viscous Continuous Generalized Approximation Scheme in a Banach Space.2016.

 

Yanni Shi | Tech Innovations | Best Researcher Award

Published on by Research Hypothesis

Mrs. Yanni Shi | Tech Innovations | Best Researcher Award

Mrs. Yanni Shi | Tech Innovations | Best Researcher Award | Engineer | Chang’an University | China

Mrs. Yanni Shi is a dedicated senior engineer and master’s supervisor at Chang’an University whose career centers on advancing mechanical design, construction machinery technology, and intelligent highway construction systems through research, teaching, and innovation. Having completed her bachelor’s, master’s, and doctoral studies in Mechanical Design and Theory at Chang’an University, she has developed a strong academic foundation that supports her specialized expertise in structural design, finite element analysis, mechanized asphalt paving, and intelligent compaction technologies. Throughout her professional career, Mrs. Yanni Shi has been engaged in the Highway Construction Equipment Department, where she has contributed to laboratory development, engineering instruction, student mentorship, and major applied research initiatives. Her research interests encompass mechanical–material interaction mechanisms, nonlinear dynamic modeling of construction machinery, high-density asphalt mixture compaction, density-sensing technology, 3D digital paving, and optimization of construction parameters for improved pavement quality. She possesses advanced research skills in ANSYS-based stress and deformation analysis, modeling of asphalt mixture–screed systems, intelligent sensing system development, and design of novel testing devices used in highway construction. As principal investigator, she has led significant projects funded by the Shaanxi Provincial Natural Science Foundation, the Fundamental Research Funds for the Central Universities, and collaborative university–enterprise programs, while also serving as a key member in numerous national and provincial research tasks related to paving equipment, mechanical structure performance, and construction quality control. Her scholarly contributions include first-author publications in prestigious journals such as Construction and Building Materials and the Journal of Vibration and Shock, demonstrating her ability to combine theoretical modeling with practical engineering applications. Additionally, she holds a utility model patent for an innovative speed-measurement device designed for paving quality control systems. Recognized for her research productivity and educational service, Mrs. Yanni Shi has earned acknowledgment within her institution for her academic dedication, technological development efforts, and commitment to advancing modern construction machinery engineering. Her work continues to provide vital contributions to the mechanized construction field, particularly in improving asphalt paving efficiency and enhancing the intelligence level of construction equipment. In conclusion, Mrs. Yanni Shi exemplifies excellence in engineering practice, research innovation, and academic leadership; her achievements in high-density paving technologies, finite element modeling, and intelligent construction systems position her as a highly influential figure whose future work is expected to further elevate the standards of pavement engineering and construction automation.

Profile:  scopus

Featured Publications

  1. Shi, Y. (2025). Linking laboratory and field compaction energy in asphalt mixtures: An investigation based on gyratory compaction testing. Construction and Building Materials.

  2. Shi, Y. (2021). Modeling of asphalt mixture–screed interaction: A nonlinear dynamic vibration model for improving paving density. Construction and Building Materials.

  3. Shi, Y. (2022). Research on process parameters for high-density paving of asphalt pavements. Journal of Vibration and Shock. — c

  4. Shi, Y. (n.d.). High-density paving and density sensing technology of asphalt pavement surface layer (Doctoral dissertation, Chang’an University).

  5. Shi, Y. (n.d.). Study on high-density paving and forming methods for thin-layer asphalt mixtures (Project report).

  6. Shi, Y. (n.d.). Study on fatigue damage laws of structures under random loads of earthmoving machinery (Project report).

  7. Shi, Y. (2023). A speed measurement device used in paving quality control systems (Utility model patent).

 

Yang Chen | Energy and Sustainability | Best Researcher Award

Published on by Research Hypothesis

Mr. Yang Chen | Energy and Sustainability | Best Researcher Award

Mr. Yang Chen | Energy and Sustainability | Best Researcher Award | PhD Candidate | The Hong Kong Polytechnic University | Hong Kong 

Mr. Yang Chen is a dedicated researcher in environmental and energy economics whose work integrates advanced computational methods with policy-relevant environmental analysis, contributing significantly to the understanding of carbon emissions, pollution control, and sustainability transitions. Mr. Yang Chen’s academic foundation is rooted in his doctoral studies at The Hong Kong Polytechnic University, where he specializes in environmental modelling, causal complexity analysis, and machine-learning–assisted prediction systems. His education equips him with strong analytical abilities in econometrics, environmental impact assessment, and data-driven research methodologies, forming the backbone of his scholarly identity. Professionally, Mr. Yang Chen has engaged in several completed and ongoing research projects involving interdisciplinary teams and multi-institutional networks, allowing him to contribute to innovative work addressing global environmental and energy challenges. His research interests include carbon emission modelling, renewable energy policy evaluation, environmental pollution dynamics, and the application of fuzzy-set qualitative comparative analysis (fsQCA) combined with SHAP-based machine-learning frameworks, reflecting his commitment to methodological innovation and complex-systems thinking. Mr. Yang Chen’s research skills span statistical modelling, causal inference, policy impact analysis, machine learning for environmental prediction, scientific writing, and peer-review activities for high-impact journals, strengthening his role as a rising scholar in sustainability research. His publication record includes approximately ten papers in reputable JCR Q1 journals such as Building and Environment, Environmental Impact Assessment Review, Earth’s Future, Journal of Cleaner Production, and Journal of Environmental Management, demonstrating consistent scholarly productivity. In addition to journal articles, Mr. Yang Chen has contributed as an editorial board member to two academic books published by leading Chinese presses, reflecting recognition of his expertise. His citation metrics, including more than two hundred citations, an h-index of six, and multiple i10-index publications, further underscore the growing influence of his work. Although he is early in his career and has not yet accumulated major awards, Mr. Yang Chen’s recognition as a reviewer for top journals and his authorship in high-impact platforms demonstrate his academic credibility and emerging leadership within the research community. In conclusion, Mr. Yang Chen exemplifies the qualities of a forward-looking environmental economist whose combination of methodological innovation, strong publication output, and commitment to interdisciplinary sustainability research positions him for significant future contributions to global climate policy, environmental modelling, and academic leadership.

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Featured Publications

  1. Chen, Y., Luo, L., Feng, W., Wu, J., & Cai, W. (2025). Progressive prediction of embodied carbon emissions across stages of schematic design with machine learning. Journal of Cleaner Production. (Citations: 3)

  2. Chen, Y., Guo, X., Yi, W., Hong, J., & Wen, Q. (2025). Synergistic pollution and carbon reductions from the China National Sustainable Communities Pilot Policy. Energy. (Citations: 5)

  3. Zheng, S., Chen, Y., Hong, J., & Pu, Y. (2025). Global climate policy effectiveness analysis: Evidence from 49 countries, 1951–2018. Journal of Comparative Policy Analysis. (Citations: 2)

  4. Chen, Y., Hong, J., Wen, Q., Yi, W., & Zheng, S. (2024). The Janus-faced role of renewable energy development in global carbon reduction under renewable energy policies. Earth’s Future. (Citations: 12)

  5. Chen, Y., Lai, T., Hong, J., & Teng, Y. (2023). Path analysis of regional carbon lock-in and unlocking from a qualitative comparative perspective. In Proceedings of the International Symposium on Advancement of Construction Management and Real Estate. (Citations: 1)

  6. Chen, Y., Zhao, Z., Yi, W., Hong, J., & Zhang, B. (2023). Has China achieved synergistic reduction of carbon emissions and air pollution? Evidence from 283 Chinese cities. Environmental Impact Assessment Review. (Citations: 18)

  7. Chen, Y., Hong, J., Tang, M., Zheng, Y., Qiu, M., & Ni, D. (2022). Causal complexity of environmental pollution in China: A province-level fuzzy-set qualitative comparative analysis. Environmental Science and Pollution Research. (Citations: 40)