Results 171 to 180 of about 3,665 (254)

Appraising Policies Through Social Multi‐Criteria Evaluation: Lessons From a Systematic Review of Applications

European Policy Analysis, EarlyView.
ABSTRACT In response to renewed interest in analytical tools that address complex policy problems and move beyond linear‐rational approaches in policy appraisal, Social Multi‐Criteria Evaluation (SMCE) integrates participatory approaches with multi‐criteria analysis (MCA), thereby incorporating specialised knowledge and diverse social values and ...
Egle Basyte Ferrari
wiley   +1 more source

Assessing land use and climate-related trends in environmental quality using RSEI in a neotropical coastal basin. [PDF]

Environ Monit Assess
Schmitz MH, Teixeira-Junior JAD, Dantas DV, Gentil E.   +3 more
europepmc   +1 more source

Ictal semiology in fronto‐opercular epilepsy: A systematic review

Epileptic Disorders, EarlyView.
Abstract A systematic review of the ictal semiology of fronto‐opercular seizures in focal epilepsy was carried out to assess possible anatomical‐clinical correlations and help guide interpretation of ictal semiology during pre‐surgical evaluation. PubMed and Embase databases were searched using the following keywords: “fronto‐opercular OR frontal ...
Zeynep Gokce‐Samar, Alexandra Montavont, Marion Comajuan, Julitta de Bellescize, Eleni Panagiotakaki, Marietta Papadopoulou, Matthildi‐Athina Papathanasiou‐Terzi, Joseph Toulouse, Alexis Arzimanoglou, Karine Ostrowsky‐Coste   +9 more
wiley   +1 more source

Territorially Stratified Modeling for Sustainable Management of Free-Roaming Cat Populations in Spain: A National Approach to Urban and Rural Environmental Planning. [PDF]

Animals (Basel)
Luzardo OP, Manzanares-Fernández R, Becerra-Carollo JR, Travieso-Aja MDM.   +3 more
europepmc   +1 more source

Intracranial electroencephalographic approaches in the intensive care unit: Safety, feasibility, and coverage

Epilepsia, EarlyView.
Abstract Objective Nonconvulsive epileptic activity is common after acute brain injury and contributes to neuronal injury and poor outcomes. Although intracranial electroencephalography (iEEG) improves detection compared with surface EEG (suEEG), it currently relies on focal recordings of epileptic dynamics.
Steven Smeijers, Mariella Segreti, Anaïs Van Hoylandt, Jeroen Gijs, Johannes van Loon, Lauranne Scheldeman, Bart Depreitere, Tom Theys   +7 more
wiley   +1 more source

Citizens' perceptions of the Chilean social outburst: environmental collective action willingness and the role of political identification, democracy, and gender. [PDF]

Front Psychol
Hatibovic F, Faúndez X, Cazorla K, Cruz MA, Rubio G, Sandoval J, Gaete JM, Sotomayor F, Hozven R, Godoy MP, Montero C, Sagredo O.   +11 more
europepmc   +1 more source

Renewable Energies in Kazakhstan: Current Status, Potential, Challenges, and Opportunities

Energy Science &Engineering, EarlyView.
Kazakhstan has strong renewable energy potential, with wind as the leading resource and solar and other sources offering additional opportunities. Key challenges include limited infrastructure, investment needs, and grid‐related technical issues. Despite these barriers, renewables can boost economic diversification, enhance energy security, create jobs,
Lyailim Taizhanova, Akhmetov Berik, Samal Syrlybekkyzy, Shynar Baimukasheva, Symbat Koibakova, Nurkhat Zhakiyev, Mohammad Alhuyi Nazari, Mohamed Salem   +7 more
wiley   +1 more source

No-take marine reserves boost the resilience of commercial fish from the catastrophic effects of a volcanic eruption. [PDF]

PLoS One
Hernández JC, Mendoza JC, Falcón JM, Clemente S, Salinas P, Denis-Lazzari N, Sangil C, Balsalobre M, Martínez D, Hereu B, Brito A.   +10 more
europepmc   +1 more source

Making Mars: The Emergence of a Resources-Territory Areopolitics

Geopolitics
openaire   +1 more source

Hybrid Simulation–Machine Learning Surrogates for Coordinate‐Based Solar and Wind Energy Yield Assessment in Iraq: A Streamlit Decision‐Support Tool

Energy Science &Engineering, EarlyView.
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem, Abdolsalam Ebrahimpour, Jafar Ghafouri, Roghayyeh Motallebzadeh   +3 more
wiley   +1 more source