Results 181 to 190 of about 97,752 (301)

Hot and cold deserts as eco‐evolutionary arenas for understanding plant resistance to multiple abiotic stressors

Biological Reviews, EarlyView.
ABSTRACT During their long evolutionary history, land plants have evolved a range of adaptations to different abiotic stressors. These help explain present‐day diversity and distribution patterns, as well as the potential resilience of natural and agricultural systems to a changing climate. Most previous research has focused on adaptation to individual
Marc Fradera‐Soler, Natasha Barbolini, Anže Žerdoner Čalasan, Marian Schubert, Catarina Rydin, Olwen M. Grace, Aelys M. Humphreys   +6 more
wiley   +1 more source

Fitting photosynthetic carbon dioxide and irradiance response curves for C4 leaves. [PDF]

J Exp Bot
Woodford R, Ermakova M, Furbank RT, von Caemmerer S.   +3 more
europepmc   +1 more source

Addressing the Energy Trilemma: The Role of Entrepreneurship, Regulation, and Climate Finance

Business Strategy and the Environment, EarlyView.
ABSTRACT Balancing energy security, energy equity, and environmental sustainability has become increasingly challenging as economies pursue low‐carbon growth amid climate risk and persistent disparities in access to modern energy. Although entrepreneurship is widely recognized as a driver of innovation, its role in addressing the energy trilemma ...
Kingsley Imandojemu, Aliyu Akorede Rufai, Felix Orole, Romanus Osabohien   +3 more
wiley   +1 more source

Turnover rates of photosynthesis determined by fluorescence kinetic analysis. [PDF]

Photosynth Res
Gorbunov MY.
europepmc   +1 more source

Tandem Electrolysers for High‐Efficiency CO2‐to‐Acetate Conversion Driven by Full‐Spectrum Solar Energy

Carbon Energy, EarlyView.
A full‐spectrum solar‐driven tandem electrolysis system enables efficient CO2‐to‐acetate conversion by spectrally splitting sunlight and coupling high‐temperature SOEC CO2‐to‐CO electrolysis with ambient CO reduction. The integrated design achieves a solar‐to‐acetate efficiency of 15.8%, demonstrating effective energy‐quality matching for solar carbon ...
Shangchun Su, Zongkang Wang, Jianhong Liu, Xiangyu Liu, Zhan Wu, Zhenyu Tian, Feifei Wang, Wenjia Li, Jian Jin   +8 more
wiley   +1 more source

Application of machine learning decision tree based power switching control for a standalone PV system with grid support. [PDF]

Sci Rep
Pushpa KR, Geetha RS.
europepmc   +1 more source

Boosting Bifacial Output Power of Ag‐CIGS Solar Cells by Optimizing ITO Back‐Contact Thickness for Tandem Applications

Carbon Energy, EarlyView.
Optimized ITO back contact with pre‐Ga supply growth and Ag incorporation suppresses GaOx formation and interface recombination in bifacial CIGS solar cells. The devices achieve 17.25% front and 5.77% rear efficiency, delivering record bifacial power density up to 32.26 mW cm−2 in 4T perovskite/CIGS tandem architectures under enhanced albedo ...
Amanat Ali, Dae‐Ho Son, Wook Hyun Kim, Hyo Jeong Jo, Dong‐Hwan Jeon, Won‐Joon Kim, Van‐Quy Hoang, Jaebaek Lee, Bashiru Kadiri‐English, Jin‐Kyu Kang, Kee‐Jeong Yang, Shi‐Joon Sung, Dae‐Kue Hwang, Dae‐Hwan Kim   +13 more
wiley   +1 more source

Influence of intervening media and thickness on transmitted irradiance from a dental light-curing unit. [PDF]

BMC Oral Health
Thitivaraporn N, Prawatvatchara W, Thamrongananskul N, Klaisiri A.   +3 more
europepmc   +1 more source

Efficient Solar‐Driven Interfacial Steam‐Electricity Co‐Generation by Modular Design of CAU‐23/Graphene Hybrid Evaporator

Carbon Energy, EarlyView.
A dual‐functional evaporator based on CAU‐23/graphene hybrid is acquired through a modular design strategy. Owing to superior broadband light absorption, optimal wettability, and porous architecture that synergistically integrates nanoconfined ionic channels with photothermal conversion, it exhibits a high evaporation rate of 2.71 kg m−2 h−1 with the ...
Hangyuan Du, Huiyue Wang, Xueying Wen, Qianyu Wei, Junhao Ai, Chang Liu, Guixin Hu, Ran Niu, Jiang Gong   +8 more
wiley   +1 more source

Predicting global horizontal irradiance using regression-based machine learning models in high-altitude environments. [PDF]

Front Artif Intell
Humpiri-Flores ME, Mamani-Pari D, Lévano D, Gomez Apaza RD, Tocto-Cano E, Condori-Coaquira ÁR, López-Gonzales JL.   +6 more
europepmc   +1 more source