The Causal Ledger of Mathematics: A Complete Operator–Formula Geometry Built on the Four Constants
Son David Bolduc
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Liquid metal additives are processed in elastomer host resulting in highly conductive and stretchable composites. The material functions as a piezoresistive sensor with minimal drift, low stiffness, and enhanced operating range. The film can replace wires to charge a mobile phone at ∼350% strain and monitors bodily motion in real‐time via a portable ...
Patryk Wojciak +3 more
wiley +1 more source
Quantum Superpositions of Conscious States in a Minimal Integrated Information Model. [PDF]
McQueen KJ, Durham IT, Müller MP.
europepmc +1 more source
Feather Mathematics II: An Operator Framework Toward the Riemann Hypothesis
Hayden, Sterling Dudley
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Multimodal Haptic Perception Through Synergistic Nanocomposite Sensor Arrays
Multi‐modal fingertip haptics are advanced through a bioinspired &vertical‐via' electronic skin architecture. A confined PDMS/MWCNT/NiNP nanocomposite, sitting at the percolation threshold, enables tactile, thermal, and magnetic sensing. A unique via‐density gradient and dedicated &Un‐Touch' reference nodes provide robust spatial resolution and signal ...
Amos Bardea, Fernando Patolsky
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The impact of treatment accessibility on HIV-TB co-infection: a comparative fractional-order modeling approach. [PDF]
Celestine AB +5 more
europepmc +1 more source
A stress‐normalised sensitivity metric (S = G/Y) is introduced as a materials‐level benchmark for intrinsically piezoresistive nanocomposites. By decoupling electromechanical response (G) from stiffness (Y), the framework enables direct comparison across diverse systems and clarifies design trade‐offs for wearable sensors.
Conor S. Boland
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Bio-inspired mitochondrial energy optimization for enhanced grid-connected inverter performance in weak grid systems. [PDF]
Rajak MK, Pudur R.
europepmc +1 more source
Mathematical Studies on Dirac Operators with a Variable Mass with Application to the Chiral Quark Soliton Model [an abstract of dissertation and a summary of dissertation review] [PDF]
Dayantsolmon Dagva
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This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov +3 more
wiley +1 more source

