Results 71 to 80 of about 30,718 (224)
Verifying liveness properties by verifying safety properties [PDF]
Conventional techniques for automatically verifying liveness properties of circuits involve explicitly modeling infinite behaviors with either infinite paths through a Kripke structure or with strings in an ω-regular language. This paper describes how timed trace structures [2, 3] can be used to convert liveness properties (including unbounded liveness
openaire +1 more source
ABSTRACT Amid rising food and fertilizer prices, understanding farmers' policy preferences is critical for effective crisis response. We use best‐worst scaling experiment to assess Kenyan mobile‐owning crop farmers' preferences for government support under high and normal price scenarios.
Mywish K. Maredia +4 more
wiley +1 more source
Efficient verifiable searchable encryption with search and access pattern privacy
Searchable encryption (SE) enables data users to securely search encrypted data stored in untrusted cloud servers. However, most SE schemes allow for leakages of access and search patterns to maximize efficiency and functionality.
Wu Axin +4 more
doaj +1 more source
An efficient lattice‐based threshold signature scheme using multi‐stage secret sharing
Secret sharing is a cryptographic technique used in many different applications such as cloud computing, multi‐party computation and electronic voting.
Hossein Pilaram +2 more
doaj +1 more source
ABSTRACT Food systems have a significant impact on environmental sustainability, underscoring the need for innovative technologies to support more sustainable agricultural methods. However, the adoption of these technologies hinges on consumer acceptance, making the analysis of consumer perceptions essential.
Greta Castellini, Guendalina Graffigna
wiley +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer +3 more
wiley +1 more source
Why Just Boogie? Translating Between Intermediate Verification Languages
The verification systems Boogie and Why3 use their respective intermediate languages to generate verification conditions from high-level programs. Since the two systems support different back-end provers (such as Z3 and Alt-Ergo) and are used to encode ...
Ameri, Michael, Furia, Carlo A.
core +1 more source
Design‐for‐Benchmarking in Soft Robotics: Navigating Component‐System Dichotomy
Soft robotics faces a profound evaluation challenge: the Component‐System Dichotomy, where isolated component tests fail to predict integrated performance. This article presents a systematic survey of critical reporting gaps across actuation, sensing, and control.
Matteo Lo Preti +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

