HGOA-based framework for multi-objective optimization and performance prediction of PEM fuel cells. [PDF]
Kamal +5 more
europepmc +1 more source
A note on the effectiveness of tests for the absolute convergence and divergence of infinite series
Peter Vojtáš
openalex +1 more source
Smart REASSURED Sensors via Machine‐Augmented Printable On‐Paper Arrays
This perspective highlights the emerging role of pattern‐recognition, printable on‐paper sensor arrays for intelligent PoC diagnostics. It discusses how paper's inherent limitations can be overcome through surface modification and scalable printing, and how machine‐learning analysis of cross‐reactive arrays enables multiplexed, low‐cost, and REASSURED ...
Naimeh Naseri, Saba Ranjbar
wiley +1 more source
Quantum mechanics in drug design: Progress, challenges, and future frontiers. [PDF]
Niazi SK.
europepmc +1 more source
Designing High Performance Organic Donor Molecules for Photovoltaics
Systematically tuning the fusion pattern and length of the π$\pi$‐bridge, along with adjusting the electron‐withdrawing (EW) strength of the terminal groups in small‐molecule donor A-π-Core-π$\text{A-}\pi \text{-Core-}\pi$‐A architectures, enables predictable modulation of the system's opto‐electronic properties.
Fabian Bauch +2 more
wiley +1 more source
Collocation method for solving fractional reaction-diffusion problem arising in chemistry. [PDF]
Rashidinia J, Momeni A.
europepmc +1 more source
The Metteyya Principle (MP): A Structural Theory of Absolute Model Convergence and Integrity
Martinho, Álvaro Miguel, Gemini
openalex +1 more source
Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects
The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su +14 more
wiley +1 more source
Adaptive deep Q-networks for accurate electric vehicle range estimation. [PDF]
Khekare U, Vedaraj I S R.
europepmc +1 more source
Hyperelastic Starch Hydrogel Configures Edible and Biodegradable All‐Components for Soft Robots
Hyperelastic starch hydrogel is tailored via a phase separation strategy of solvent‐antisolvent co‐modulation. The mechanical performance of starch hydrogel is widely tuned with maximum strains: 194.4–361.4%; maximum tensile stresses: 34–192 kPa; and Young's moduli: 36.0–205.8 kPa. Notably, the hydrogel achieves complete soil degradation within 24 days
Siyu Yao +7 more
wiley +1 more source

