Results 101 to 110 of about 12,073 (259)
Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network
We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang +16 more
wiley +1 more source
ABSTRACT Generative AI is radically transforming how creative authorship is understood, attributed, and governed across the world’s cultural and creative industries. As AI systems increasingly produce outputs that organisations and audiences recognise as creative, foundational assumptions about who authors creative work, who receives credit for it, and
Ololade A. Shonubi
wiley +1 more source
Abstract While multiple factors explain low adoption rates of improved varieties by small‐scale farmers in sub‐Saharan Africa, a key supply‐side constraint is the limited availability of seed embodying new traits in the volume, quality, price, and timeliness required by farmers. This constraint is partly attributable to classical failures in the market
Dawit Mekonnen +5 more
wiley +1 more source
The role of venture‐financed startups in innovation for US agriculture
Abstract To evaluate the role played by startup companies in the innovation ecosystem of US agriculture, we compile a unique dataset of 6024 new entrants founded 1987–2019 that details their financing lifecycles, annual economic performance, and patenting activities.
Gregory D. Graff +2 more
wiley +1 more source
Risk management externalities in agrifood supply chains
Abstract Firms may under‐ or over‐invest in risk management from the social planner's perspective, resulting in a negative externality on other economic agents in the supply chain. The externality of risk management is particularly relevant for agrifood supply chains, which frequently experience disruptions and play a primary role in preventing major ...
Jeffrey Hadachek, Meilin Ma
wiley +1 more source
The research aims to provide the decision-maker with a framework for determining customer requirements during product development. The proposed framework is based on sentiment analysis and supervised multilabel classification techniques.
Sutrilastyo, Astanti Ririn Diar
doaj +1 more source
Abstract Longer‐duration, holistic, cohort‐based, coach‐led interventions may be particularly effective in promoting both economic health and emotional well‐being among unmarried mothers living in economically disadvantaged neighborhoods. Aligning with the 1999 Centers for Disease Control (CDC) framework for program evaluation, this study presents a ...
Jennifer Langhinrichsen‐Rohling +5 more
wiley +1 more source
This study explores the different impacts of e-service quality and customer experience on repurchase intention, with perceived value as a mediator, among digital consumers of Yoshinoya quick-service restaurants in Surabaya, Indonesia.
Ardo Mohhanto +3 more
doaj +1 more source
Abstract Community health workers (CHW) programs are effective at reducing hospitalizations, improving mental health, and supporting health‐promoting behaviors. Research suggests awareness and use of CHW services remain uneven across communities nationally.
Stephen Bonett +8 more
wiley +1 more source
The development of smart teller machines (STMs) which incorporate artificial intelligence (AI) raises new research questions around customer satisfaction.
Guo Wu, Xinrui Sun
doaj +1 more source

