Results 181 to 190 of about 9,314 (260)

Passive cooling garments for outdoor thermal adaptation: a field experiment. [PDF]

Int J Biometeorol
Shimazaki Y, Tominaga N, Yuan J, Adachi M, Putra N, Tajima M.   +5 more
europepmc   +1 more source

Night-time heat: How real-world exposure and human diversity redefine vulnerability. [PDF]

Eco Environ Health
Debarnot U.
europepmc   +1 more source

From street level to science: advancing methods for climate walks to improve human thermal comfort. [PDF]

Int J Biometeorol
Lau K, Lam CKC, Krüger E, Nouri AS, Peng Z, Santucci D, Matzarakis A.   +6 more
europepmc   +1 more source

Emerging Arthropod-Borne Infections in Temperate Regions: Comparative Synthesis Across Mosquitoes, Ticks, Sandflies, and Biting Midges. [PDF]

Insects
Touati A, Idres T, De Champs C, Basher NS.   +3 more
europepmc   +1 more source

Microclimate prediction for sandy photovoltaic power plants using a spatio-temporal graph convolutional network with environmental covariates. [PDF]

iScience
Li J, Yang Z, Wang W, Li H, Dong W, Zhou B, Liu M, Li M.   +7 more
europepmc   +1 more source

Establishment of a Native Cavity-Nesting Bee (<i>Exoneura robusta</i>) After Translocation Into an Urban Environment. [PDF]

Ecol Evol
Wang M, Brown J.
europepmc   +1 more source

Evaluating Microclimate Modification and Acute Cardiovascular Stress Responses to a Dense Urban Microforest: The Green Oasis (GRO) Protocol. [PDF]

Int J Environ Res Public Health
Keith R, Willis S, Christian N, Khayat F, Gallagher J, Gunter WS, Kachanova J, Mehring A, Pigg R, Proctor D, Smith AE, Stopforth CK, Piuma P, Smith T, Bhatnagar A.   +14 more
europepmc   +1 more source

Seasonal outdoor thermal comfort and neutral PET thresholds in a severe cold Dwa climate city of Shenyang China. [PDF]

Sci Rep
Fan L, Li Z, Zhou Y.
europepmc   +1 more source

The nonlinear relationship between urban design form and energy efficiency. [PDF]

Sci Rep
Lyu S, Yan F.
europepmc   +1 more source

Fine-scale predictive modeling of Aedes mosquito abundance and dengue risk indicators using machine learning algorithms with microclimatic variables. [PDF]

Sci Rep
Dom NC, Abdullah NAMH, Dapari R, Salleh SA.   +3 more
europepmc   +1 more source