💧🔬 From the rise of water in a narrow tube to liquid bridges in MEMS devices and the dynamics of capillary waves—how do the forces at fluid interfaces underpin everything from classical phenomena to cutting-edge nanotechnology? 📘 𝘾𝙖𝙥𝙞𝙡𝙡𝙖𝙧𝙮 𝙈𝙚𝙘𝙝𝙖𝙣𝙞𝙘𝙨 by Shiqiao Gao, Lei Jin, and Deyi Fu offers a comprehensive reexamination of capillary phenomena in light of rapid advancements in micro/nano electromechanical systems—bridging classical theory with modern applications. Across eleven chapters, the book takes readers on a systematic journey from foundational principles of surface tension and wetting to the intricacies of liquid bridges, capillary microflows, and beyond. 🔎 Why this book is essential reading: 📖 1. Foundations of Capillary Action 🧪 Capillary action and basic conceptions 🧱 Three phases of matter and interface interactions 🌐 Setting the stage for both classical and modern applications 🌊 2. Surface Tension, Wetting, and Contact Angle 🔬 Surface tension and interfacial tension fundamentals 📐 Contact angle and wetting behaviour 🧮 The Young–Laplace equation and its applications 🌫️ 3. Kelvin Equation and Marangoni Effects ☁️ Origin and applications of the Kelvin equation 🌀 Surface tension gradients and the Marangoni effect 🔄 Driving phenomena in micro- and nano-scale systems 💨 4. Capillary Dynamics and Liquid Bridges 🌊 Capillary flow based on the Hagen–Poiseuille equation 🌉 Concept and function of liquid bridges 🧩 Dynamic behaviour in confined geometries ⚙️ 5. MEMS Applications and Capillary Waves 🔧 Capillary action in MEMS and NEMS devices 🧬 Implications for adhesion, lubrication, friction, wear, and surface cleaning 🌊 Concept and preliminary analysis of capillary waves 🌐 Explore the book here: worldscientific.com/worldsci… 💡 Ideal for academic researchers, professionals, and graduate and postgraduate students working with capillary mechanics, surface science, and MEMS/NEMS at the micro- to nano-scale. 👉 Quote WSTWTR30 at checkout to enjoy 30% off your purchase now! #CapillaryMechanics #SurfaceTension #ContactAngleWetting #YoungLaplaceEquation #KelvinEquation #MarangoniEffect #CapillaryFlow #HagenPoiseuille #LiquidBridge #CapillaryWaves #MEMSDevices #NEMS #InterfacialTension #MicrofluidicFlow #SurfaceAdhesion #Microtribology #ContactLineDynamics #NanoscaleInterfaces

Explore research on QCD, hadron structure, nuclear matter and particle physics in this special issue of Modern Physics Letters A. All articles are freely available until 31 December 2026. 🔗worldscientific.com/toc/mpla…

Discover bestselling titles in Particle Physics & Quantum Field Theory from leading researchers at CERN, Fermilab, MIT, Harvard, and Imperial College London. From the Standard Model and collider physics to black holes, explore authoritative works advancing fundamental physics. worldscientific.com/area/not…

Trace the evolution of Chinese medicine from ancient China to the modern era. This scholarly 2-volume work examines medical practices, classical traditions, epidemics and the cultural influences that have shaped Chinese medicine over 3,000 years. 🔗worldscientific.com/worldsci…

This paper establishes lower bounds for the classical existence time of relativistic Euler solutions by controlling wave and transport components using Sobolev, Hölder, elliptic, and energy estimates. 🔗worldscientific.com/doi/epdf…

𝐎𝐩𝐞𝐧 𝐀𝐜𝐜𝐞𝐬𝐬 𝐀𝐫𝐭𝐢𝐜𝐥𝐞 Explore advances in dielectric materials for high-energy-storage applications. This review highlights antiferroelectrics, dielectric glass-ceramics, relaxor ferroelectrics and polymer-based ferroelectrics, examining their potential for next-generation pulsed capacitors with high energy density, low loss and improved temperature stability. 🔗 doi.org/10.1142/S2010135X133…

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📖 Explore the 𝐄𝐝𝐢𝐭𝐨𝐫’𝐬 𝐏𝐢𝐜𝐤 𝐂𝐨𝐥𝐥𝐞𝐜𝐭𝐢𝐨𝐧 𝐟𝐫𝐨𝐦 𝙉𝙖𝙣𝙤 𝙇𝙄𝙁𝙀, featuring selected research and reviews across nanomedicine, nanotoxicology, biomedical nanomaterials, machine learning in nano research and emerging nano-enabled technologies. 𝐅𝐫𝐞𝐞 𝐭𝐨 𝐫𝐞𝐚𝐝 𝐮𝐧𝐭𝐢𝐥 𝟑𝟏𝐬𝐭 𝐃𝐞𝐜 𝟐𝟎𝟐𝟔 𝐀𝐝𝐯𝐞𝐫𝐬𝐞 𝐎𝐮𝐭𝐜𝐨𝐦𝐞 𝐏𝐡𝐞𝐧𝐨𝐦𝐞𝐧𝐚 𝐚𝐧𝐝 𝐓𝐨𝐱𝐢𝐜𝐢𝐭𝐲 𝐌𝐞𝐜𝐡𝐚𝐧𝐢𝐬𝐦𝐬 𝐨𝐟 𝐌𝐢𝐜𝐫𝐨 𝐚𝐧𝐝 𝐍𝐚𝐧𝐨𝐩𝐥𝐚𝐬𝐭𝐢𝐜𝐬 𝐢𝐧 𝐇𝐮𝐦𝐚𝐧 𝐇𝐞𝐚𝐥𝐭𝐡 worldscientific.com/doi/epdf… Fei He, Xiaohan Wu, and Sijie Lin 𝐁𝐢𝐨𝐦𝐞𝐝𝐢𝐜𝐚𝐥 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐨𝐟 𝐂𝐨𝐥𝐝 𝐀𝐭𝐦𝐨𝐬𝐩𝐡𝐞𝐫𝐢𝐜 𝐏𝐥𝐚𝐬𝐦𝐚: 𝐂𝐚𝐧𝐜𝐞𝐫 𝐓𝐡𝐞𝐫𝐚𝐩𝐲 𝐚𝐧𝐝 𝐕𝐢𝐫𝐮𝐬 𝐈𝐧𝐚𝐜𝐭𝐢𝐯𝐚𝐭𝐢𝐨𝐧 worldscientific.com/doi/epdf… Som V. Thomas, Yuxin Wang, and Donglu Shi 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐬 𝐢𝐧 𝐍𝐚𝐧𝐨𝐩𝐚𝐫𝐭𝐢𝐜𝐥𝐞𝐬 𝐟𝐨𝐫 𝐒𝐤𝐢𝐧 𝐏𝐫𝐨𝐭𝐞𝐜𝐭𝐢𝐨𝐧 — 𝐀 𝐑𝐞𝐯𝐢𝐞𝐰 worldscientific.com/doi/epdf… Nayem Hossain, Md. Abdullah, Zahid Ahsan, Farzana Yesmin, Md. Aminul Islam, and Samsul Islam 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐚𝐥 𝐈𝐧𝐭𝐞𝐫𝐟𝐚𝐜𝐞𝐬: 𝐂𝐡𝐞𝐦𝐢𝐜𝐚𝐥 𝐆𝐫𝐚𝐟𝐭𝐢𝐧𝐠 𝐨𝐟 𝐒𝐭𝐚𝐫𝐜𝐡 𝐨𝐧𝐭𝐨 𝐌𝐮𝐥𝐭𝐢𝐰𝐚𝐥𝐥𝐞𝐝 𝐂𝐚𝐫𝐛𝐨𝐧 𝐍𝐚𝐧𝐨𝐭𝐮𝐛𝐞𝐬 𝐟𝐨𝐫 𝐁𝐢𝐨𝐦𝐞𝐝𝐢𝐜𝐚𝐥 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 worldscientific.com/doi/epdf… Yoxkin Estévez-Martínez, Erick Cuevas-Yañez, Alejandra Núñez-Pineda, Elizabeth Chavira-Martínez, Rafael Huirache-Acuña, and Victor M. Castaño 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐢𝐧 𝐍𝐚𝐧𝐨 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 — 𝐀 𝐑𝐞𝐯𝐢𝐞𝐰 worldscientific.com/doi/epdf… Fatema Tuz Zohura, Mariam Akter Mimona, Md Mir Shakib Ahmed, Md Israfil Hossain Rimon, Md Aminul Islam, Nayem Hossain, and Md Hosne Mobarak 𝐀𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐣𝐨𝐮𝐫𝐧𝐚𝐥 - 𝙉𝙖𝙣𝙤 𝙇𝙄𝙁𝙀 (worldscientific.com/worldsci…) publishes peer-reviewed research at the intersection of nanoscience, biomedicine and environmental health, covering advances in nanomedicine, biomedical engineering, nano-biosensing, environmental monitoring and advanced materials for human health and well-being. The journal is now recognised as a 𝐒𝐜𝐨𝐩𝐮𝐬 𝐐𝟐-𝐫𝐚𝐧𝐤𝐞𝐝 𝐣𝐨𝐮𝐫𝐧𝐚𝐥, with a 𝟐𝟎𝟐𝟓 𝐂𝐢𝐭𝐞𝐒𝐜𝐨𝐫𝐞 𝐨𝐟 𝟐.𝟑 and a 𝟐𝟎𝟐𝟓 𝐈𝐦𝐩𝐚𝐜𝐭 𝐅𝐚𝐜𝐭𝐨𝐫 𝐨𝐟 𝟏.𝟔.

A stochastic discrete pest-natural enemy model with white noise and integrated pest management is developed to analyze equilibrium stability, pest extinction, persistence, and noise effects. 🔗worldscientific.com/doi/epdf…

🧠⚙️ From Monte Carlo methods to physics-informed neural networks, how do engineers move beyond "black-box" AI to build models that are rigorous, interpretable, and grounded in physical reality? 📘 𝙄𝙣𝙩𝙧𝙤𝙙𝙪𝙘𝙩𝙞𝙤𝙣 𝙩𝙤 𝙎𝙘𝙞𝙚𝙣𝙩𝙞𝙛𝙞𝙘 𝙈𝙖𝙘𝙝𝙞𝙣𝙚 𝙇𝙚𝙖𝙧𝙣𝙞𝙣𝙜 𝙛𝙤𝙧 𝙀𝙣𝙜𝙞𝙣𝙚𝙚𝙧𝙞𝙣𝙜 𝙎𝙩𝙪𝙙𝙚𝙣𝙩𝙨 by Ilias Bilionis offers a first-principles introduction to scientific machine learning, using probability theory as the unifying language of uncertainty to develop a coherent framework for modelling, inference, and prediction in engineering systems. Refined through years of classroom teaching and delivered through reproducible Jupyter notebooks in Python, this textbook bridges classical uncertainty quantification with modern deep learning, emphasising the fusion of data and physical insight. 🔎 Why this book is essential reading: 🎲 1. Probability and Uncertainty Foundations 📖 Basics of probability theory as a unified framework 🔢 Discrete and continuous random variables and random vectors 🧮 A coherent language for reasoning about uncertainty in engineering 🎯 2. Monte Carlo Methods and Bayesian Inference 🔁 Monte Carlo estimation of expectations and statistics 📊 Quantifying uncertainty in Monte Carlo estimates 🧬 Selecting prior information and analytical Bayesian inference examples 📈 3. Supervised and Unsupervised Learning 📏 Linear regression, Bayesian linear regression, and classification 🧩 Clustering, density estimation, and dimensionality reduction 🎛️ Advanced topics that connect classical statistics to modern machine learning 🎛️ 4. State-Space Models and Gaussian Processes 🛰️ State-space models and Kalman filtering fundamentals 📐 Gaussian process regression with priors on function spaces 🎯 Bayesian global optimisation for engineering design 🤖 5. Deep Learning and Physics-Informed ML 🧬 Deep neural networks for regression ⚛️ Physics-informed deep neural networks that encode physical laws 🔬 Sampling methods, variational inference, and probabilistic programming 🌐 Explore the book here: worldscientific.com/worldsci… 💡 Ideal for advanced undergraduates, graduate students, researchers, and R&D practitioners in engineering and data-driven science seeking a rigorous, Python-based framework for Bayesian inference and physics-informed machine learning. 👉 Quote WSTWTR30 at checkout to enjoy 30% off your purchase now! #PhysicsInformedNeuralNetworks #BayesianLinearRegression #GaussianProcessRegression #KalmanFiltering #StateSpaceModels #MonteCarloMethods #VariationalInference #MarkovChainMonteCarlo #ProbabilisticProgramming #BayesianGlobalOptimisation #UncertaintyQuantificationEngineering #ScientificMachineLearning #PosteriorPredictiveChecking #EvidenceApproximation #ParticleFilters #ModelCalibration #HyperparameterEstimation #CausalModellingInEngineering

ZINC001414717906 emerged as a stable, high-affinity CXCR4 inhibitor through pharmacophore screening, molecular dynamics, MM/PBSA, and ADMET analysis, showing potential for cancer therapy. 🔗worldscientific.com/doi/epdf…

Explore the fascinating world of combinatorics—from graph theory and discrete structures to counting, optimization and more. 📘Click the banner to get the featured books and discover more related titles from World Scientific. 🔗worldscientific.com/area/alg…

🔬 How can we follow up on patients with repeat CT scans—while cutting X-ray dose by up to 10 times—without compromising accuracy or clinical reliability? 📘 𝙎𝙥𝙖𝙧𝙨𝙚 𝙍𝙚𝙥𝙚𝙖𝙩 𝘾𝙏 𝙎𝙘𝙖𝙣𝙣𝙞𝙣𝙜 𝙞𝙣 𝙍𝙖𝙙𝙤𝙣 𝙎𝙥𝙖𝙘𝙚 by L Joskowicz, N Shamul, Z Adelman, and G Medan introduces a novel approach to dose reduction based on sparse sampling in Radon space—bypassing the need for full image reconstruction altogether. Bridging rigorous algorithmic research with real clinical applicability, this compendium presents validated methods for follow-up imaging, interventional radiology, and related procedures. 🔎 Why this book is essential reading: 🧠 1. A Novel Paradigm for Dose Reduction 📉 Sparse sampling in Radon space for repeat CT scanning ⚡ Up to 10× reduction in X-ray dose without sacrificing accuracy 🚫 A methodology that obviates the need for full image reconstruction 🧩 2. Registration and Image Reconstruction 🔗 Automatic rigid registration across subsequent CT scans 🌀 Deformable registration for anatomical variability 🖼️ Foundations of Radon-space reasoning for medical imaging 🎯 3. Dose Optimisation Strategies 📊 Analytical frameworks for optimising dose–accuracy trade-offs 🧮 Region-of-interest approaches for targeted scanning 🛡️ Preserving robustness and diagnostic reliability at reduced exposure 🔄 4. Change Detection in Repeat Scans 🕵️ Automated detection of anatomical and pathological changes 📈 Quantitative comparisons across longitudinal imaging 🩺 Supporting radiological follow-up with precision 🧵 5. Real-Time Needle Tracking for Intervention 🎯 Real-time tracking during interventional radiology procedures 🏥 Applications across biopsy, ablation, and guided interventions 🧬 Bridging algorithmic innovation with clinical workflows 🌐 Explore the book here: worldscientific.com/worldsci… 💡 Ideal for researchers, professionals, academics, and graduate students in biomedical engineering, machine perception, medical imaging, and interventional radiology. 👉 Quote WSTWTR30 at checkout to enjoy 30% off your purchase now! #MedicalImaging #ComputedTomography #CTScan #RadonSpace #SparseSampling #DoseReduction #InterventionalRadiology #ImageRegistration #DeformableRegistration #NeedleTracking #LongitudinalImaging #MachinePerception

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Explore the patterns and problems that make number theory fascinating. Expand your mathematical knowledge! Click the banner to get the featured book and discover related titles for your next read. 🔗worldscientific.com/area/alg…

This Paper Bayesian modeling of GBM immunity showed improved priors increased parameter accuracy, while DEMetropolisZ delivered efficient sampling and narrower confidence intervals with lower computational cost. 🔗worldscientific.com/doi/epdf…

🔐🛡️ From TLS and PKI to blockchains and post-quantum cryptography—how do modern security systems protect information, authenticate users, and build trust across digital environments? 📘 𝘼𝙥𝙥𝙡𝙞𝙚𝙙 𝙄𝙣𝙩𝙧𝙤𝙙𝙪𝙘𝙩𝙞𝙤𝙣 𝙩𝙤 𝘾𝙧𝙮𝙥𝙩𝙤𝙜𝙧𝙖𝙥𝙝𝙮 𝙖𝙣𝙙 𝘾𝙮𝙗𝙚𝙧𝙨𝙚𝙘𝙪𝙧𝙞𝙩𝙮 by Amir Herzberg offers a comprehensive introduction to applied cryptography and cybersecurity, bringing together theoretical foundations, practical protocols, and hands-on learning through labs. Praised by Hugo Krawczyk, Senior Principal Scientist at Amazon, as “an outstanding book on both cryptography and cybersecurity”, this text treats the two fields as deeply interconnected—making it a valuable reference for students, instructors, and self-learners alike. 🔎 Why this book is essential reading: 🔑 1. Foundations of Applied Cryptography 🔐 Shared-key and public-key cryptosystems 🎲 Pseudo-randomness and encryption schemes 🧮 Core concepts explained without requiring prior advanced mathematics 🧾 2. Integrity, Hashing, and Blockchains 🧱 Hashing for data integrity 🌳 Merkle trees and cryptographic accumulators ⛓️ Blockchain-based approaches to verification and trust ✍️ 3. Authentication, Signatures, and Key Exchange 📨 Message authentication schemes and protocols 🖊️ Digital signature schemes for identity and verification 🔄 Key exchange mechanisms for secure communication 🌐 4. TLS, SSL, and Public Key Infrastructure 🔒 Transport Layer Security for web security and beyond 🏛️ Public key infrastructure and certificate management 🔍 Certificate transparency for strengthening trust in digital certificates 🧠 5. Human-Centred and Future-Facing Security 👤 Human-centred security and usable cryptography ⚛️ A practical introduction to quantum computing concepts 🚀 Post-quantum cryptography and the future of secure systems 🌐 Explore the book here: worldscientific.com/worldsci… 💡 Ideal for undergraduate and graduate students studying cryptography and cybersecurity, as well as self-learners seeking a rigorous but accessible introduction to applied cryptographic systems, secure protocols, and modern digital trust infrastructure. 👉 Quote WSTWTR30 at checkout to enjoy 30% off your purchase now! #AppliedCryptography #Cryptosystems #SharedKeyCryptography #PublicKeyCryptography #PseudoRandomness #HashFunctions #MerkleTrees #CryptographicAccumulators #BlockchainIntegrity #MessageAuthentication #DigitalSignatureSchemes #KeyExchangeProtocols #TLSProtocol #SSLProtocol #PublicKeyInfrastructure #CertificateTransparency #HumanCentredSecurity #UsableCryptography #PostQuantumCryptography #QuantumComputingSecurity

This paper investigates ESBL-producing E. coli and K. pneumoniae in dogs and cats, identifying multidrug resistance and zoonotic ST15/ST11 strains, highlighting One Health risks. 🔗worldscientific.com/doi/epdf…

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