How AI Shapes the Future Landscape of Sustainable Building Design With Climate Change Challenges?
This review examines how artificial intelligence reshapes sustainable building design faced with climate change challenges. The authors synthesize existing studies to demonstrate AI's transformative potential across design lifecycle phases from climate‐aware form generation to performance optimization.
Pengyuan Shen +5 more
wiley +1 more source
Queuing-theory-driven renewable energy investment decisions through artificial expert choices with dynamic hybrid multi-facet fuzzy modeling. [PDF]
Kou G +4 more
europepmc +1 more source
Electrochemical Nitrate Reduction Reaction to Ammonia at Industrial‐Level Current Densities
This review starts from the mechanism and theoretical basis of electrochemical nitrate reduction reaction (NO3−RR), and systematically summarizes and discusses the design strategies of industrial‐level current density catalysts. In addition, the progress of industrial‐level NO3−RR‐based electrolyzers, including flow reactor and membrane electrode ...
Zhijie Cui +4 more
wiley +1 more source
Towards a shared vision for research on evidence-informed policy-making. [PDF]
Kolt B +10 more
europepmc +1 more source
Dorsal Raphe VIP Neurons Are Critical for Survival‐Oriented Vigilance
DRNVIP neurons in mice and primates are strategically positioned to influence the central extended amygdala via feedback loops. They regulate the excitability of PKC‐δ neurons in the ovBNST and CeA through glutamate release. Their ablation heightens activity in these regions, disrupts active‐phase sleep architecture, enhances risk assessment behaviors ...
Adriane Guillaumin +15 more
wiley +1 more source
Access and Reimbursement for Artificial Intelligence in Radiology: A Central Asian Perspective. [PDF]
Dautov T +3 more
europepmc +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Individual perceptions of renewable energy investment in Somali firms. [PDF]
Nor BA.
europepmc +1 more source
High‐throughput screening led to the identification of 67 Z‐scheme heterojunctions (comprising 2D magnetic transition metal halides and non‐magnetic transition metal chalcogenides). For CrI3/MoTe2 and CrI3/WTe2, electronic structure analysis demonstrated that synergistic crystallographic point group and built‐in electric field effects generate a ...
Hongyang Ren +8 more
wiley +1 more source
Economic value of international missions and domestic initiatives to strengthen surgical care in low- and middle-income countries: systematic review. [PDF]
Ifeanyichi M +6 more
europepmc +1 more source

