The proposed Transport–Soft Matter Coupling Framework (TSMCF) offers a mechanistic basis for the design of clinically translatable soft nanomedicines by linking polymer-network mechanics, transport phenomena, and translational performance.
Samson Oluwabamise Dada, Adegboyega Daniel Osifuwa, Ifeoluwa Deborah Boyede· Frontiers in Soft Matter· 0 citations
Abstract Background Photosynthetic cyanobacteria entrapped in artificial solid matrices, such as alginate hydrogels, can sustain active photosynthesis and bio-production of chemicals for months, yet the cellular adaptations underlying this remarkable resilience remain poorly understood. Results Here, we compared the ph...
Henna Mustila, Elia Marelli, Sergey Kosourov et al.· Biotechnology for Biofuels a...· 0 citations
We formulate a continuum and field-theoretic paradigm in which solid-state topochemical reactions confined within nanocrystalline lattices are modeled as coherent quantum-hydrodynamic systems. Traditional chemical kinetics, bounded by the classical Arrhenius activation energy barrier and chaotic thermal molecular colli...
Henrietta Volkova· Zenodo (CERN European Organi...· 0 citations
Light crosses the radius of the Sun in 2.3 seconds. Yet to seep out from within takes incomparably longer. This paper counts the two as clocks of different dimension. No new theorem and no new law is claimed. Scope of this paper (scope note): No new theorem and no new law is claimed──the square law of the random walk,...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
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The developing fetus conducts billions of molecular processes, including cell division, gene regulation, protein signaling, and tissue remodeling—with remarkable precision. Errors in these systems could lead to implications that range from small changes in genes to major birth defects. This study examinesthe use of mat...
Vipul Sharma· Zenodo (CERN European Organi...· 0 citations
This paper presents a conceptual and methodological framework for long-horizon structural foresight of techno-social systems, formulated as a conditional projection rather than a deterministic calendar forecast. The framework treats the period 1926–2000 as training data to extract three dynamic laws—wave superposition...
Sherif Hassan Abd Elglil Bahram· Zenodo (CERN European Organi...· 0 citations
This repository contains the code and data accompanying the article “A Physics-Informed B-Spline Reconstruction of Flow Data,” published in Computer Methods in Applied Mechanics and Engineering (CMAME). The package includes numerical inputs, model coefficients, and analysis and plotting scripts for the one-dimensional...
Junoh Jung, David Lenz, Emil Constantinescu et al.· Zenodo (CERN European Organi...· 0 citations
This study examined the instructional, technological, organizational, socio-economic, and psychological challenges encountered by trainers and trainees in implementing flexible learning in the diploma programs of Zamboanga Sibugay Polytechnic Institute (ZSPI), providing an empirical basis for an Enhanced Learning Manag...
Elma E. Gajosta, Bashiruddin A. Ajihil, Jenny Rose E. Jimlani· International Journal of Sus...· 0 citations
This reconstructed study develops an integrated mathematical and operational architecture in which distributional integral transforms provide the analytical layer for resilient smart logistics. The framework retains the original testing-function-space construction, its seminorm topology, Fréchet-space completeness, dua...
V. A. Sharma A. Tale· Zenodo (CERN European Organi...· 0 citations
Versione 4 (V4) introduce una rete a memoria protetta in cui il nucleo g0g_0g0 è immutabile (scrittura disabilitata e checksum SHA-256 verificato a ogni epoca), ogni ricordo occupa uno slot dedicato mai sovrascritto e la scrittura è consentita esclusivamente tramite un certificatore gfg_fgf basato su quiete, qualità e...
Francesco BULLA· Zenodo (CERN European Organi...· 0 citations
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.