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This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu +6 more
wiley +1 more source
GHEFL: Grouping Based on Homomorphic Encryption Validates Federated Learning
Federated learning is a powerful tool for securing participants’ private data due to its ability to make data “available but not visible”. In recent years, federated learning has been enhanced by the emergence of multi-weight aggregation protocols, which
Yulin Kang +5 more
doaj +1 more source
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su +13 more
wiley +1 more source
A Publicly Verifiable E-Voting System Based on Biometrics
Voters use traditional paper ballots, a method limited by the factors of time and space, to ensure their voting rights are exercised; this method requires a lot of manpower and resources. Duplicate voting problems may also occur, meaning the transparency
Jinhui Liu +5 more
doaj +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
Is Assessment for Learning Really Assessment?
This opinion piece questions the legitimacy of treating assessment for learning (AfL) as assessment. The distinction between testing and assessment is first made, then the defining characteristics of contemporary AfL are identified.
Gavin T. L. Brown, Gavin T. L. Brown
doaj +1 more source
Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu +5 more
wiley +1 more source
In view of the problem that users’ informations are leaked and tampered possiblely exists at service terminal in existing outsourcing cloud computing protocols,a secure efficient and verifiable outsourcing protocol about determinant computing in the ...
Rui SUN, You-Liang TIAN
doaj +3 more sources
Development of a Mathematical Model of Operation Reliability of Mine Hoisting Plants
The work analyzes the performance assurance of mine hoisting machines, including the problem of the quality of performance of the functions. The quality of functioning allows evaluation of a set of properties of the process of lifting loads, designed to ...
Pavel V. Shishkin +6 more
doaj +1 more source
The Topology of Statistical Verifiability [PDF]
Topological models of empirical and formal inquiry are increasingly prevalent. They have emerged in such diverse fields as domain theory [1, 16], formal learning theory [18], epistemology and philosophy of science [10, 15, 8, 9, 2], statistics [6, 7] and
Konstantin Genin, Kevin T. Kelly
doaj +1 more source

