Results 191 to 200 of about 49,141 (264)

Integration of intraoperative data in interpretable machine learning models to predict postoperative AKI in noncardiac surgery patients. [PDF]

JAMIA Open
Do J, Shah KH, Xu MC, Kim AH, Suresh V, Guggilla N, Li M, Kothari R.   +7 more
europepmc   +1 more source

Advances in causal discovery methods for ecological time series

Biological Reviews, EarlyView.
ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki, Masato Yamamichi, Yutaka Osada, Masayuki Ushio, Kohei Nakajima, Hiroshi Masuya, Shohei Shimizu   +6 more
wiley   +1 more source

Integrating machine learning and statistical analysis to forecast insufficient physical activity trends using socio-demographic predictors. [PDF]

Front Public Health
Zhang G, Yu L.
europepmc   +1 more source

The Role of Transition Intermediaries as Capability Builders for Adopting Radical Innovation in Incumbent Firms: The Case of the UK Energy Supply Sector

Business Strategy and the Environment, EarlyView.
ABSTRACT Transition intermediaries play a pivotal role in configuring networks aligning the interests of stakeholders to achieve sustainable goals. However, the transition literature has paid little attention to the influence intermediaries can have in strengthening organisational capabilities. Especially in sectors that are slow to change, such as the
Horacio Gonzalez, Matthew Hannon, Efstathios Tapinos   +2 more
wiley   +1 more source

Enhancing 5G uplink communications through efficient PCC-OFDM with neural network-based channel estimation. [PDF]

Sci Rep
J MJ, S S.
europepmc   +1 more source

Artificial Intelligence–Driven and Digital Practices for Circular Business and Finance: Insights for Advancing Hubs for Circularity

Business Strategy and the Environment, EarlyView.
ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi, Marcos R. Machado, Laura Spierdijk, Devrim Murat Yazan   +3 more
wiley   +1 more source

Wheat seed germination prediction in response to temperature, water potential, and salinity using an artificial neural network. [PDF]

Sci Rep
Soureshjani HK, Bahador M, Dehkordi AG, Ghaffari H.   +3 more
europepmc   +1 more source

Green Finance, Digitalization, and Banks' Sustainable Business Model Innovations Toward Net‐Zero Transitions

Business Strategy and the Environment, EarlyView.
ABSTRACT Financial capital is widely recognized as having the potential to provide investments needed for net‐zero transitions. While recent empirical studies reveal that financial digitalization and fintech have changed Chinese banks' loan portfolios and business models, they stem from credit restrictions on heavily polluting enterprises and from ...
Akihisa Mori
wiley   +1 more source

A systematic review of machine learning on clinical MALDI-TOF MS. [PDF]

Brief Bioinform
Schmidt-Santiago L, Guerrero-López A, Sevilla-Salcedo C, Rodríguez-Temporal D, Rodríguez-Sánchez B, Gómez-Verdejo V.   +5 more
europepmc   +1 more source

Prosumers and Sustainable Market Governance: Development of the Community‐Oriented Marketing Approach Scale

Business Strategy and the Environment, EarlyView.
ABSTRACT This research develops and empirically validates the Community‐Oriented Marketing Approach (COMA), a 20‐item multidimensional scale designed to measure prosumer perceptions within participatory market systems. COMA conceptualizes prosumers as active co‐value creators and institutional agents, driving sustainable market governance.
Alpaslan Kelleci, Oguzhan Essiz
wiley   +1 more source