𝐌𝐞𝐭𝐡𝐨𝐝𝐬 𝐚𝐧𝐝 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐏𝐚𝐭𝐡𝐬 𝐟𝐨𝐫 𝐄𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐧𝐠 𝐭𝐡𝐞 𝐈𝐦𝐩𝐚𝐜𝐭 𝐨𝐟 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐁𝐚𝐬𝐞𝐝 𝐨𝐧 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 𝐨𝐧 𝐈𝐝𝐞𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐚𝐧𝐝 𝐏𝐨𝐥𝐢𝐭𝐢𝐜𝐚𝐥 𝐄𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐌𝐞𝐧𝐭𝐚𝐥 𝐇𝐞𝐚𝐥𝐭𝐡 𝐨𝐟 𝐂𝐨𝐥𝐥𝐞𝐠𝐞 𝐒𝐭𝐮𝐝𝐞𝐧𝐭𝐬 doi.org/10.1142/S01291564254… Why should you read this research article? ▶️ Proposes a #BigData-driven framework for evaluating the deep learning effectiveness of college students in ideological, political and mental health courses, addressing the critical challenge of complex nonlinear relationships between multi-dimensional learning behaviour indicators that undermine conventional evaluation accuracy. ▶️ Employs the #RBF (#RadialBasisFunction) kernel function to preprocess learning behaviour data extracted from online learning platforms and #LMS systems — mapping data into high-dimensional space and applying #KNN interpolation to fill missing values, ensuring data integrity before evaluation. ▶️ Constructs a structured three-layer evaluation index system using the #AnalyticHierarchyProcess (#AHP) combined with a 9-point comparison scale and expert scoring, assigning weighted coefficients to indicators spanning ideological literacy, mental health awareness, and critical thinking ability to reduce the impact of data nonlinearity. ▶️ Introduces an improved #BPNeuralNetwork with a momentum term to accelerate convergence and reduce oscillation, enabling a multi-input, multi-output network to accurately model the complex relationship between evaluation indicators and deep learning outcomes across varied data volumes. ▶️ Demonstrates strong predictive performance with a maximum residual difference of no more than 0.34, a G-value of 0.972, and an F1-value of 0.986 — outperforming two benchmark methods — validating the model's robustness, stability, and applicability for broader educational evaluation contexts. Recommend this journal to your library today. We will be happy to work with your librarian to get you the necessary access — email us at [email protected] to kickstart this access today!

World Scientific is at 𝐈𝐏𝐒 𝐌𝐞𝐞𝐭𝐢𝐧𝐠 𝟐𝟎𝟐𝟔! Organised by the Institute of Physics Singapore, the meeting runs from 28–30 October 2026 at the Singapore @sutdsg. As part of our commitment to advancing scientific knowledge and connecting research with the communities it serves, we’re showcasing books and journals that support discovery, learning and collaboration in physics. Visit our booth to explore our featured titles and enjoy 20–50% off featured books. Complete a short quiz to receive an exclusive notebook! Browse the full list of featured titles here: worldscientific.com/page/ips… We look forward to connecting with you at SUTD! #IPSMeeting2026 #WorldScientific #PhysicsResearch #PhysicsCommunity #ScientificPublishing #ResearchDissemination #SUTD

Bringing together contributions from leading experts, the Handbook of Porphyrin Science provides comprehensive coverage of fundamental research and interdisciplinary applications. Explore the series. 🔗worldscientific.com/series/p…

This study examines reflected SDEs driven by standard and fractional Brownian motion, establishing weak existence, pathwise uniqueness, and strong solutions for additive noise, with partial results for multiplicative noise. 🔗worldscientific.com/doi/epdf…

How do purity and injectivity behave under trivial ring extensions? Explore pure projective, pure injective and FP-injective modules, with applications to Morita context rings. Read the full article for free. 🔗worldscientific.com/doi/10.1…

𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐝 𝐀𝐫𝐭𝐢𝐜𝐥𝐞𝐬 | 𝐍𝐚𝐯𝐢𝐠𝐚𝐭𝐢𝐧𝐠 𝐌𝐚𝐫𝐤𝐞𝐭 𝐔𝐧𝐜𝐞𝐫𝐭𝐚𝐢𝐧𝐭𝐲: 𝐓𝐫𝐚𝐝𝐞, 𝐈𝐧𝐟𝐥𝐚𝐭𝐢𝐨𝐧 & 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐑𝐢𝐬𝐤 How do financial markets respond to trade tensions, inflationary pressures and volatility? Explore featured research from the 𝘙𝘦𝘷𝘪𝘦𝘸 𝘰𝘧 𝘗𝘢𝘤𝘪𝘧𝘪𝘤 𝘉𝘢𝘴𝘪𝘯 𝘍𝘪𝘯𝘢𝘯𝘤𝘪𝘢𝘭 𝘔𝘢𝘳𝘬𝘦𝘵𝘴 𝘢𝘯𝘥 𝘗𝘰𝘭𝘪𝘤𝘪𝘦𝘴 (𝘙𝘗𝘉𝘍𝘔𝘗), 𝐅𝐑𝐄𝐄 𝐭𝐨 𝐚𝐜𝐜𝐞𝐬𝐬 𝐮𝐧𝐭𝐢𝐥 𝟑𝟏 𝐃𝐞𝐜𝐞𝐦𝐛𝐞𝐫 𝟐𝟎𝟐𝟔. 𝐓𝐫𝐚𝐝𝐞 𝐖𝐚𝐫 𝐀𝐜𝐭𝐢𝐨𝐧𝐬, 𝐑𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐞𝐬, 𝐚𝐧𝐝 𝐒𝐭𝐨𝐜𝐤 𝐌𝐚𝐫𝐤𝐞𝐭 𝐑𝐞𝐚𝐜𝐭𝐢𝐨𝐧𝐬 Wenjia Zhang and Julan Du worldscientific.com/doi/10.1… 𝐒𝐞𝐚𝐫𝐜𝐡𝐢𝐧𝐠 𝐟𝐨𝐫 𝐀𝐬𝐬𝐞𝐭𝐬 𝐭𝐨 𝐇𝐞𝐝𝐠𝐞 𝐀𝐠𝐚𝐢𝐧𝐬𝐭 𝐈𝐧𝐟𝐥𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝐭𝐡𝐞 𝐔.𝐒. 𝐌𝐚𝐫𝐤𝐞𝐭 Thomas C. Chiang worldscientific.com/doi/10.1… 𝐕𝐨𝐥𝐚𝐭𝐢𝐥𝐢𝐭𝐲 𝐒𝐩𝐢𝐥𝐥𝐨𝐯𝐞𝐫𝐬 𝐢𝐧 𝐈𝐧𝐝𝐢𝐚𝐧 𝐂𝐨𝐦𝐦𝐨𝐝𝐢𝐭𝐲 𝐌𝐚𝐫𝐤𝐞𝐭𝐬: 𝐄𝐦𝐩𝐢𝐫𝐢𝐜𝐚𝐥 𝐄𝐯𝐢𝐝𝐞𝐧𝐜𝐞 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐌𝐆𝐀𝐑𝐂𝐇 𝐌𝐨𝐝𝐞𝐥 Sampath Thokala worldscientific.com/doi/10.1… 📚 𝐅𝐢𝐧𝐝 𝐭𝐡𝐢𝐬 𝐣𝐨𝐮𝐫𝐧𝐚𝐥 𝐮𝐬𝐞𝐟𝐮𝐥 𝐟𝐨𝐫 𝐲𝐨𝐮𝐫 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡? 𝐑𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝 𝐢𝐭 𝐭𝐨 𝐲𝐨𝐮𝐫 𝐥𝐢𝐛𝐫𝐚𝐫𝐲: worldscientific.com/action/r… 🔎 𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐦𝐨𝐫𝐞 𝐟𝐞𝐚𝐭𝐮𝐫𝐞𝐝 𝐚𝐫𝐭𝐢𝐜𝐥𝐞𝐬: worldscientific.com/page/rpb… #FREEACCESS #FinancialMarkets #MarketUncertainty #Inflation #TradeWar #FinancialRisk #Investment #CommodityMarkets #Economics #FinanceResearch #RPBFMP

🚨 𝐃𝐀𝐍𝐆𝐄𝐑: 𝐃𝐚𝐭𝐚, 𝐍𝐮𝐦𝐛𝐞𝐫𝐬, 𝐚𝐧𝐝 𝐆𝐞𝐨𝐦𝐞𝐭𝐫𝐲 Discover the latest Special Issue of AI in Mathematics and Theoretical Physics (AIMTP), exploring how artificial intelligence and data-driven methods are opening new directions across mathematics and theoretical physics. 📘 𝐒𝐩𝐞𝐜𝐢𝐚𝐥 𝐈𝐬𝐬𝐮𝐞 𝐨𝐧 𝐃𝐀𝐍𝐆𝐄𝐑 (𝐃𝐚𝐭𝐚, 𝐍𝐮𝐦𝐛𝐞𝐫𝐬, 𝐚𝐧𝐝 𝐆𝐞𝐨𝐦𝐞𝐭𝐫𝐲) Volume 4, Issue 1 (June 2026) Guest edited by 𝐊𝐲𝐮-𝐇𝐰𝐚𝐧 𝐋𝐞𝐞, 𝐄𝐥𝐥𝐢 𝐇𝐞𝐲𝐞𝐬 𝐚𝐧𝐝 𝐄𝐝𝐰𝐚𝐫𝐝 𝐆𝐞𝐨𝐫𝐠𝐞 𝐇𝐢𝐫𝐬𝐭, the issue brings together research and practical perspectives spanning: 🔹 Machine learning for mathematical data 🔹 Reinforcement learning for mathematical search 🔹 Physics-informed neural networks and geometric analysis 🔹 Data-driven approaches to exterior calculus 🔹 AI methods for analysing and presenting scientific results 🔹 Machine learning and theoretical physics Featured contributions include “𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞𝐬 𝐟𝐨𝐫 𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐚𝐥 𝐃𝐚𝐭𝐚,” “𝐑𝐞𝐢𝐧𝐟𝐨𝐫𝐜𝐞𝐦𝐞𝐧𝐭 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐟𝐨𝐫 𝐇𝐚𝐫𝐝 𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐚𝐥 𝐒𝐞𝐚𝐫𝐜𝐡: 𝐋𝐞𝐬𝐬𝐨𝐧𝐬 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐀𝐧𝐝𝐫𝐞𝐰𝐬–𝐂𝐮𝐫𝐭𝐢𝐬 𝐂𝐨𝐧𝐣𝐞𝐜𝐭𝐮𝐫𝐞,” and “𝐀 𝐔𝐬𝐞𝐫’𝐬 𝐆𝐮𝐢𝐝𝐞 𝐭𝐨 𝐏𝐈𝐍𝐍𝐬 𝐢𝐧 𝐆𝐞𝐨𝐦𝐞𝐭𝐫𝐢𝐜 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬.” 📖 𝐀𝐥𝐥 𝐚𝐫𝐭𝐢𝐜𝐥𝐞𝐬 𝐚𝐫𝐞 𝐅𝐑𝐄𝐄 𝐓𝐎 𝐑𝐄𝐀𝐃 𝐮𝐧𝐭𝐢𝐥 𝟑𝟏 𝐉𝐚𝐧𝐮𝐚𝐫𝐲 𝟐𝟎𝟐𝟕. Explore the full Special Issue: worldscientific.com/toc/aimt… #ArtificialIntelligence #Mathematics #TheoreticalPhysics #MachineLearning #ScientificMachineLearning #GeometricAnalysis #ReinforcementLearning #PINNs #MathematicalPhysics #AIResearch #WorldScientific

𝐎𝐩𝐞𝐧 𝐀𝐜𝐜𝐞𝐬𝐬 This study establishes multiple normalized solutions for biharmonic Choquard equations using variational methods, Lusternik–Schnirelmann category, and Morse theory. 🔗 worldscientific.com/doi/10.1…

🧬⚡ What if intelligence could emerge from simple chemical systems? The real question is: can we build computing systems that behave more like living brains? 📘 𝙋𝙧𝙤𝙩𝙚𝙞𝙣𝙤𝙞𝙙 𝙋𝙧𝙤𝙩𝙤-𝙉𝙚𝙪𝙧𝙖𝙡 𝙉𝙚𝙩𝙬𝙤𝙧𝙠𝙨 explores a groundbreaking frontier where chemistry, physics, and computation converge—revealing how synthetic proteinoids can self-organize into systems capable of spiking, learning, and computation. Blending experimental biophysics with neuromorphic theory, this book opens the door to a new paradigm: wetware computing. 🔎 Why this book is essential reading: 🧪 1. Foundations of Proteinoid Systems 🧬 Synthetic polymers formed from amino acids ⚡ Self-organize into excitable microspheres 🧠 Exhibit electrical activity and spiking behaviour ⚡ 2. Emergence of Proto-Neural Activity 🔌 Light-induced and chemically driven spiking 🧠 Neural-like signalling and adaptive responses 📊 Electrochemical, optical, and acoustic studies 🧠 3. Learning & Memory in Chemical Systems 🔄 Evidence of learning in proteinoid ensembles 📉 Memfractance and adaptive behaviour 💡 Foundations of emergent intelligence 💻 4. Unconventional Computing 🧩 Logical gates and Boolean operations 🔊 Sound recognition and pattern processing 🔍 Optical recognition (e.g. alphabet detection) 🚀 5. Toward Neuromorphic Wetware 🧠 Integration with simulated neural networks ⚙️ Proto-dendrites and proto-axons 🔬 Applications in bio-inspired computing and materials 🌐 Explore the book here: worldscientific.com/worldsci… 💡 Ideal for researchers and professionals in neuromorphic engineering, unconventional computing, synthetic biology, and advanced materials science. 👉 Quote WSTWTR30 at checkout to enjoy 30% off your purchase now! #NeuromorphicComputing #UnconventionalComputing #SyntheticBiology #AI #Bioelectronics #MaterialsScience #STEM

This paper Studies how spatially modulated scalar fields affect phonon propagation, sound speed, and condensate rigidity in superfluid dark matter, exploring implications for dark matter core structure. 🔗worldscientific.com/doi/full…

Discover the diverse applications of boron science! This comprehensive 4-volume handbook explores the latest developments in organometallic chemistry, catalysis, materials science and medicine, bringing together insights from leading researchers worldwide. 🔗worldscientific.com/worldsci…

This paper reviews algebraic learning theory, exploring the connections between statistical mechanics and machine learning, singular random Hamiltonians, phase transitions, generalization errors, and theoretical foundations for AI alignment. 🔗worldscientific.com/doi/full…

Build a strong foundation in physics with Prof. Berthold-Georg Englert’s undergraduate lecture series. Explore essential topics including classical mechanics, electrodynamics, statistical mechanics, quantum mechanics and quantum state estimation. 🔗worldscientific.com/area/pro…

We are saddened by the passing of our author, 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐨𝐫 𝐂𝐥𝐚𝐮𝐝𝐞 𝐂𝐨𝐡𝐞𝐧-𝐓𝐚𝐧𝐧𝐨𝐮𝐝𝐣𝐢 (1933–2026), on 22 October. A 1997 Nobel laureate in Physics, his research and teaching shaped atomic physics and helped generations understand quantum mechanics. Our sincere condolences go to his family, friends, colleagues and students. Read our tribute and explore his books, chapters and articles published with World Scientific: worldscientific.com/do/10.11… #ClaudeCohenTannoudji #InMemoriam #QuantumPhysics #AtomicPhysics #WorldScientific

𝐍𝐞𝐰 𝐑𝐞𝐥𝐞𝐚𝐬𝐞: 𝘽𝙖𝙙 𝙈𝙚𝙙𝙞𝙘𝙞𝙣𝙚, 𝙂𝙤𝙤𝙙 𝙈𝙚𝙙𝙞𝙘𝙞𝙣𝙚 — 𝙎𝙘𝙖𝙣𝙙𝙖𝙡𝙨 𝙖𝙣𝙙 𝘾𝙖𝙪𝙩𝙞𝙤𝙣, 𝙄𝙣𝙣𝙤𝙫𝙖𝙩𝙞𝙤𝙣𝙨 𝙖𝙣𝙙 𝙃𝙤𝙥𝙚 It was a pleasure welcoming Prof Chan Lai Wah (National University of Singapore) and Mr Sia Chong Hock (Health Sciences Authority, Singapore, Retired) to World Scientific Publishing as they collected copies of their newly released book, 𝘽𝙖𝙙 𝙈𝙚𝙙𝙞𝙘𝙞𝙣𝙚, 𝙂𝙤𝙤𝙙 𝙈𝙚𝙙𝙞𝙘𝙞𝙣𝙚 — 𝙎𝙘𝙖𝙣𝙙𝙖𝙡𝙨 𝙖𝙣𝙙 𝘾𝙖𝙪𝙩𝙞𝙤𝙣, 𝙄𝙣𝙣𝙤𝙫𝙖𝙩𝙞𝙤𝙣𝙨 𝙖𝙣𝙙 𝙃𝙤𝙥𝙚! Behind every medicine is a story of science, safety and innovation. But what happens when medicines go wrong? Drawing on real-world pharmaceutical scandals, medicine safety concerns and scientific breakthroughs, the authors take readers on an insightful journey through the evolving world of medicines. From the hidden dangers of counterfeit drugs, contaminated medicines and unsafe health products to promising developments in vaccines, personalised therapies and nanomedicine, the book explores both the lessons learned from past failures and the innovations shaping a safer future. This book has been written with minimal technical jargon which will benefit any avid and interested reader! 🎉 𝐓𝐨 𝐜𝐞𝐥𝐞𝐛𝐫𝐚𝐭𝐞 𝐭𝐡𝐞 𝐧𝐞𝐰 𝐫𝐞𝐥𝐞𝐚𝐬𝐞, 𝐞𝐧𝐣𝐨𝐲 𝟐𝟎% 𝐨𝐟𝐟! Use promotional code 𝐇𝐎𝐏𝐄𝟐𝟎 when purchasing through the World Scientific website worldscientific.com/worldsci… #BadMedicineGoodMedicine #NewBook #MedicineSafety #PharmaceuticalSciences #HealthcareInnovation

𝐎𝐩𝐞𝐧 𝐀𝐜𝐜𝐞𝐬𝐬 This study highlights significant rural–urban education inequality in China, showing that rural and migrant children have lower educational performance than their urban counterparts, with implications for human capital development and education policy. 🔗worldscientific.com/doi/10.1…

🎉 𝐂𝐨𝐧𝐠𝐫𝐚𝐭𝐮𝐥𝐚𝐭𝐢𝐨𝐧𝐬 𝐭𝐨 𝐏𝐫𝐨𝐟. 𝐀𝐬𝐡𝐨𝐤𝐞 𝐒𝐞𝐧 𝐨𝐧 𝐫𝐞𝐜𝐞𝐢𝐯𝐢𝐧𝐠 𝐭𝐡𝐞 𝟐𝟎𝟐𝟔 𝐎𝐬𝐤𝐚𝐫 𝐊𝐥𝐞𝐢𝐧 𝐌𝐞𝐝𝐚𝐥! A pioneer in modern string theory, Professor Sen is internationally recognised for his groundbreaking contributions to S-duality, black hole entropy and string field theory. He is the first Indian physicist to receive the prestigious Oskar Klein Medal, joining a distinguished list of past recipients in theoretical physics. World Scientific is proud to have published a number of Professor Sen’s works over the years. To celebrate this achievement, his book chapters and journal articles published with World Scientific are 𝐟𝐫𝐞𝐞 𝐭𝐨 𝐫𝐞𝐚𝐝 𝐮𝐧𝐭𝐢𝐥 𝟑𝟏 𝐌𝐚𝐫𝐜𝐡 𝟐𝟎𝟐𝟕. 📖 𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐡𝐢𝐬 𝐛𝐨𝐨𝐤 𝐜𝐡𝐚𝐩𝐭𝐞𝐫𝐬: • Remarks on Tachyon Driven Cosmology worldscientific.com/doi/epdf… • String Theory and Einstein's Dream worldscientific.com/doi/epdf… • Tachyons in String Theory worldscientific.com/doi/epdf… • Tachyon Dynamics in Open String Theory worldscientific.com/doi/epdf… 🔗 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫 𝐡𝐢𝐬 𝐣𝐨𝐮𝐫𝐧𝐚𝐥 𝐚𝐫𝐭𝐢𝐜𝐥𝐞𝐬: worldscientific.com/action/d… Congratulations once again to Professor Ashoke Sen on this remarkable recognition! #AshokeSen #OskarKleinMedal #StringTheory #TheoreticalPhysics #QuantumGravity #BlackHoles #Physics

🌊🌀 Beneath the ocean surface lies a dynamic system shaping climate, ecosystems, and energy transfer. The real question is: do we fully understand the role of mesoscale eddies in driving ocean variability? 📘 𝙈𝙚𝙨𝙤𝙨𝙘𝙖𝙡𝙚 𝙀𝙙𝙙𝙞𝙚𝙨 𝙞𝙣 𝙩𝙝𝙚 𝙎𝙤𝙪𝙩𝙝 𝘾𝙝𝙞𝙣𝙖 𝙎𝙚𝙖 offers the first comprehensive synthesis of eddy dynamics in one of the world’s most complex marine environments. Integrating theory, observations, and long-term data, this book provides a definitive framework for understanding how eddies form, evolve, and influence the ocean system. 🔎 Why this book is essential reading: 🌍 1. The Role of Mesoscale Eddies 🌀 Eddies account for over two-thirds of oceanic kinetic energy 🌊 Link large-scale circulation to smaller-scale processes 🌱 Influence climate systems and marine ecosystems 📊 2. A Comprehensive Scientific Framework 📚 Combines theoretical, observational, and statistical approaches 🧠 Synthesizes over two decades of research 📈 Includes new datasets and analyses up to 2025 🌬️ 3. Drivers of Eddy Formation 🌧️ Monsoons and atmospheric forcing 🌪️ Typhoons and extreme weather events 🌊 Kuroshio current intrusions and Pacific influences 🔬 4. Advanced Observation & Analysis 🛰️ Satellite-based detection and modeling techniques 🚢 Cruise-based field observations 📊 Statistical characterization of eddy behaviour 🌐 5. Interactions Across Scales 🌊 Effects on waves, currents, and ocean structure 🌬️ Coupling with atmospheric systems 🔄 Role in energy transfer across ocean scales 🌐 Explore the book here: worldscientific.com/worldsci… 💡 Ideal for researchers, graduate students, and professionals in physical oceanography, climate science, and marine environmental studies. 👉 Quote WSTWTR30 at checkout to enjoy 30% off your purchase now! #Oceanography #ClimateScience #MarineScience #PhysicalOceanography #ClimateChange #OceanDynamics

Explore the latest advances in nanomedicine and bioengineering. This comprehensive 4-volume reference covers tissue engineering, biosensing, medical imaging, gene delivery and emerging cancer therapies, bridging nanotechnology and translational medicine. 🔗worldscientific.com/worldsci…