Results 191 to 200 of about 29,241 (278)
A Unified Characterization of Private Learnability via Graph Theory
We provide a unified framework for characterizing pure and approximate differentially private (DP) learnability. The framework uses the language of graph theory: for a concept class $\mathcal{H}$, we define the contradiction graph $G$ of $\mathcal{H ...
Schefler, Hilla +3 more
core
Anion‐exchange doping of conjugated polymers is an effective way to achieve high conductivities. Here, we report over 2000 S cm−1 electrical conductivity for doped P(g3BTTT). In addition, we show that P(g3BTTT) sustains exceptionally high doping levels without any drop in the charge mobility.
Basil Hunger +14 more
wiley +1 more source
Replication challenges in linking personality to resting-state functional connectomics. [PDF]
Jajcay N +7 more
europepmc +1 more source
The miscibility of foreign elements in rutile‐type IrO2 and SnO2 is greatly enhanced under high Laplace pressure, where their crystal size is reduced to the nanoscale. This enhancement leads to the successful synthesis of DSA‐composition solid‐solution nanocatalysts with notable durability during the acidic OER in water electrolysis.
Chang Hyun Park +7 more
wiley +1 more source
Visualizing epidemiological models for policy: design principles for effective communication. [PDF]
Hadley L +8 more
europepmc +1 more source
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao +8 more
wiley +1 more source
AI literacy and attitudes among maternal and child health nurses: a multicenter psychological network analysis of novices and experts in China. [PDF]
Zeng Q, Zhu J, Yang C, Hu J, Huang X.
europepmc +1 more source
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano +5 more
wiley +1 more source
Understanding Operando Water Management in Hydroxide‐Exchange‐Membrane Fuel Cells
Effective water management is vital for high‐performance hydroxide‐exchange‐membrane fuel cells. Using a custom water‐flux station, this study quantifies how membrane thickness, microporous layers, and operating conditions dictate internal water transport.
Catherine M. Weiss +4 more
wiley +1 more source

