Results 211 to 220 of about 18,865 (312)

Making Sense of the Bioeconomy: A Critical Analysis of EU Policy Narratives and Responses

open access: yesEnvironmental Policy and Governance, EarlyView.
ABSTRACT The bioeconomy has become an increasingly popular concept in European Union (EU) policy, promising sustainable growth, job creation, and reduced environmental impacts. Yet its meaning remains contested, ambiguous, and politically charged. This study critically examines how EU bioeconomy policy narratives prior to 2025 construct this concept ...
Elena Zepharovich   +4 more
wiley   +1 more source

Toward Comprehensive Climate Action: Assessing Mitigation Approaches Across Canadian Municipalities

open access: yesEnvironmental Policy and Governance, EarlyView.
ABSTRACT Local governments are widely regarded as key leaders in the global response to climate change. Understanding if and how municipalities commit to climate mitigation is crucial for assessing their contribution to global emission‐reduction goals and identifying barriers to effective climate transitions.
Aryana Soliz   +7 more
wiley   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

open access: yesEpilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus   +7 more
wiley   +1 more source

Identifying Faults in Power Transformers Based on Machine‐Learning Algorithms Compared With Other Techniques

open access: yesEnergy Science &Engineering, EarlyView.
General framework of ensemble learning technique for transformer fault diagnostics compared with traditional dissolved gas analysis methods. ABSTRACT This paper implemented a comprehensive variety of modern machine‐learning techniques, which were demonstrated to be effective in handling complex tabular data, generating accurate predictions, and ...
Osama E. Gouda   +3 more
wiley   +1 more source

Bipolar q $q$‐Fractional Fuzzy Aggregation Operators for Multi‐Criteria Decision‐Making in Optimal Renewable Energy Selection

open access: yesEnergy Science &Engineering, EarlyView.
This study introduces bipolar q‐fractional fuzzy sets and new aggregation operators to support renewable energy selection under uncertainty. The proposed decision‐making framework effectively integrates positive and negative evaluations, ensuring consistent ranking and robust performance, as demonstrated through practical analysis and comparative ...
Sagvan Y. Musa   +3 more
wiley   +1 more source

Comparison of Controller Logics for Automating Vasopressor Administration Using a Hardware-in-Loop Test Platform. [PDF]

open access: yesBioengineering (Basel)
Lopez MD   +7 more
europepmc   +1 more source

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