Results 161 to 170 of about 2,723,796 (303)
Correction: Conformity and tradition are more important than environmental values in constraining resource overharvest. [PDF]
Wright G +7 more
europepmc +1 more source
Bidirectional photoadaptive organic synaptic phototransistors are developed using complementary n–n and n‐p heterojunctions. These devices enable intelligent in‐sensor processing, markedly enhancing image contrast and edge features under adverse lighting, and achieve a recognition accuracy of 97.4% within ten training cycles for machine vision ...
Di Xue +9 more
wiley +1 more source
A two-group kinetic wealth model with wealth-gap drift and non-Maxwellian kernels. [PDF]
Sun R.
europepmc +1 more source
Data-Driven Models & Mathematical Finance: Apposition or Opposition?
Babak Mahdavi-Damghani
openalex +1 more source
A zwitterionic pyrrole (ZiPy) additive is designed to simultaneously suppress polyiodide shuttling and stabilize the zinc anode in Zn–I2 batteries. ZiPy regulates interfacial pH, optimizes Zn2+ solvation, and promotes (002)‐oriented Zn deposition, enabling outstanding cycling stability over 45 000 cycles and excellent low‐temperature endurance ...
Shuaibing Wang +8 more
wiley +1 more source
Training path of big data management and application talents based on BERTopic-TOPSIS model. [PDF]
Li Y, Huang T, Li X.
europepmc +1 more source
On pathwise functional Itô calculus and its applications to mathematical finance [PDF]
Iryna Voloshchenko
openalex
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan +9 more
wiley +1 more source
Evaluating digital technologies for architectural heritage preservation using interval-valued q-rung orthopair fuzzy aggregation operators. [PDF]
Wang L.
europepmc +1 more source
Neural Information Processing and Time‐Series Prediction with Only Two Dynamical Memristors
The present study demonstrates how simple circuits with only two memristive devices are utilized to perform high complexity temporal information processing tasks, like neural spike detection in noisy environment, or time‐series prediction. This circuit simplicity is enabled by the dynamical complexity of the memristive devices, i.e.
Dániel Molnár +12 more
wiley +1 more source

