$M$-POLYNOMIALS AND TOPOLOGICAL INDICES OF SILICATE AND OXIDE NETWORKS [PDF]
M. Javaid, C.Y. Jung
openaire +1 more source
On the Neighbourhood Polynomial
The neighbourhood polynomial of a graph is the generating function for the neighbourhood complex, which contains all subsets of vertices which have a common neighbour. We begin with some formulas for computing the neighbourhood polynomial. We then show a
Day, Dylan
core
A Unifying Thermodynamic Model for Phase Separation and Aging of Biopolymers
Phase separation and aging of intrinsically disordered proteins are placed in a unifying framework. A thermodynamically consistent time‐dependent version of associating‐polymer theory shows how the processes are intricately coupled. Assuming aging to occur through interacting sites resulting from reversible conformational transitions, the model ...
Jasper J. Michels +2 more
wiley +1 more source
Developing a QSPR model for Alzheimer's drugs using topological indices and M-polynomial: A computational study. [PDF]
Akhbari MH +3 more
europepmc +1 more source
A soft hybrid multi‐wavelength PPG wearable acquires neonatal signals. Synchronized PPG and invasive ABP data are segmented into fixed windows. A 1D‐EfficientNet model predicts segment‐level SBP and DBP. Model performance is examined with retrospective subgroup analysis across acquisition conditions.
Wenqi Shi +12 more
wiley +1 more source
Unveiling the electronic and thermodynamic properties of 2-furaldehyde semicarbazone derivatives: combined DFT and M-polynomial topological indices analysis. [PDF]
Wazzan S, Safi Z, Wazzan N.
europepmc +1 more source
Single‐Atom‐Enhanced Fully Inkjet‐Printed Electrochemical Sensor for Dopamine Detection
Fully inkjet‐printed paper‐based dopamine sensors are fabricated using nitrogen‐doped graphene acid functionalized with copper single atoms. The copper sites uniquely enhance dopamine oxidation through strong molecular adsorption, as verified by electrochemical measurements and DFT calculations. The approach highlights the potential of single‐atom inks
Martin‐Alex Nalepa +11 more
wiley +1 more source
M-polynomial driven machine learning models for predicting physicochemical properties of antibiotics. [PDF]
Li X, Ghods M, Kheirkhahan N, Shafi J.
europepmc +1 more source
Receptogenesis in a Vascularized Robotic Embodiment
Functional augmentation of situated robots via ex novo hardware generation extends physical adaptability. Drawing inspiration from open circulatory systems for mass and function redistribution, this study presents a vascularized robotic composite exhibiting receptogenesis ‐ the on‐demand construction of sensors ‐ from internal fluid reserves based on ...
Kadri‐Ann Pankratov +8 more
wiley +1 more source
Predictive modeling of ADME properties using M-polynomial based topological indices for biocompatible polysaccharides. [PDF]
Ahmed WE +3 more
europepmc +1 more source

