Results 161 to 170 of about 20,659 (297)
Energy and daylighting trade-offs in residential window design: multi-objective optimization for hot-arid regions. [PDF]
Ramezani M +3 more
europepmc +1 more source
The effect of window configuration on daylight performance in classrooms : A field and simulation study [PDF]
Korsavi, S S +2 more
core
Two plant‐growth promoting rhizobacteria (PGPR) consortia (AU8 and TX1) induced a deterrence of host plant location and oviposition behavior of Spodoptera exigua females in both susceptible and resistant cotton plants. Most of the volatile organic compounds (VOCs) increased in PGPR‐treated plants compared to untreated plants. # indicates treatments not
Pascal Mahukpe Ayelo +3 more
wiley +1 more source
Multi-objective optimization of daylighting performance and solar radiation for building geometry using a hybrid evolutionary algorithm. [PDF]
Lou S +9 more
europepmc +1 more source
GS2.2 G255D mutation conferred enzyme‐level glufosinate insensitivity but no whole‐plant resistance, showing trade‐offs between catalytic function and herbicide binding and providing a baseline for future studies on target‐site glufosinate resistance.
Aimone Porri +8 more
wiley +1 more source
Energy saving and low carbon oriented renovation framework for educational buildings with Tianjin University case study. [PDF]
Du X, Liu X, Gao F, Zhou Z.
europepmc +1 more source
Thermodynamic and microphysical properties of summertime marine fog observed from Sable Island
Atmospheric profiling and near‐surface fog and visibility measurements revealed synoptic‐scale forcing as the dominant factor in fog formation over Sable Island, with deep fog layers under low‐pressure systems and shallow fog layers under high‐pressure systems.
Kelsey Rowe +7 more
wiley +1 more source
Multiobjective optimization of external shading for west facing university dormitories in Kunming considering solar radiation and daylighting. [PDF]
Chen T, Tan L.
europepmc +1 more source
The dual graph neural network (dualGNN), trained with a composite loss combining the energy score (ES) and variogram score (VS), consistently outperformed models optimized solely for ES or the continuous ranked probability score in the multivariate setting, as well as empirical copula approaches.
Mária Lakatos
wiley +1 more source

