Results 101 to 110 of about 229,710 (296)

Changes in structure and composition of evergreen forests on an altitudinal gradient in the Venezuelan Guayana Shield

Revista de Biología Tropical, 2012
There have been several ecological studies in forests of the Guayana Shield, but so far none had examined the changes in structure and composition of evergreen forests with altitude.
Lionel Hernández, Nelda Dezzeo, Elio Sanoja, Leandro Salazar, Hernán Castellanos   +4 more
doaj  

Tree allometry and stand structure in dryland forests relics of northern Côte d’Ivoire

, 2023
Nina Gueulou, Brahima Coulibaly, Adeline Fayolle, Noufou Doudjo Ouattara, Ahoba Assandé, Anatole Kanga N’Guessan, Adama Bakayoko   +6 more
openalex   +1 more source

Direct Evidence of Topological Dirac Fermions in a Low Carrier Density Correlated 5d Oxide

Advanced Functional Materials, EarlyView.
The 5d oxide BiRe2O6 is discovered as a low‐carrier‐density topological semimetal hosting symmetry‐protected Dirac fermions stabilized by nonsymmorphic symmetries. Angle‐resolved photoemission spectroscopy, quantum oscillations, and magnetotransport measurements reveal gapless Dirac cones, quasi‐2D Fermi surfaces, high carrier mobility, and a field ...
Premakumar Yanda, Jorge Cardenas‐Gamboa, Ding Pei, François Bertran, Leila Noohinejad, Snehashish Chatterjee, Changjiang Yi, Iñigo Robredo, Horst Borrmann, Maia G. Vergniory, Chandra Shekhar, Claudia Felser   +11 more
wiley   +1 more source

Mycorrhizal feedbacks influence global forest structure and diversity. [PDF]

Commun Biol, 2023
Delavaux CS, LaManna JA, Myers JA, Phillips RP, Aguilar S, Allen D, Alonso A, Anderson-Teixeira KJ, Baker ME, Baltzer JL, Bissiengou P, Bonfim M, Bourg NA, Brockelman WY, Burslem DFRP, Chang LW, Chen Y, Chiang JM, Chu C, Clay K, Cordell S, Cortese M, den Ouden J, Dick C, Ediriweera S, Ellis EC, Feistner A, Freestone AL, Giambelluca T, Giardina CP, Gilbert GS, He F, Holík J, Howe RW, Huaraca Huasca W, Hubbell SP, Inman F, Jansen PA, Johnson DJ, Kral K, Larson AJ, Litton CM, Lutz JA, Malhi Y, McGuire K, McMahon SM, McShea WJ, Memiaghe H, Nathalang A, Norden N, Novotny V, O'Brien MJ, Orwig DA, Ostertag R, Parker GG', Pérez R, Reynolds G, Russo SE, Sack L, Šamonil P, Sun IF, Swanson ME, Thompson J, Uriarte M, Vandermeer J, Wang X, Ware I, Weiblen GD, Wolf A, Wu SH, Zimmerman JK, Lauber T, Maynard DS, Crowther TW, Averill C.   +74 more
europepmc   +1 more source

Nest Movements and Population Spatial Structure of the Forest Ant Myrmica punctiventris (Hymenoptera: Formicidae) [PDF]

, 1999
Valerie S. Banschbach, Joan M. Herbers
openalex   +1 more source

Forest Structure and Structural Dynamics of Virgin Beech Forests in Slovakia [PDF]

, 2022
openaire   +1 more source

Cool Kitchen: Processing Starch and Eggshell Powder into Sustainable Coatings for Passive Daytime Cooling

Advanced Functional Materials, EarlyView.
A food‐grade cooling composite made from starch and recycled eggshell powder offers a scalable, ultra‐low‐cost solution for passive daytime radiative cooling. Easily prepared using basic kitchen tools, this material empowers communities, even in areas with limited infrastructure, to stay cooler during worsening summer heat waves.
Qimeng Song, Evelyn Kubacki, Alexander Berger, Markus Retsch   +3 more
wiley   +1 more source

Regeneração de um trecho de floresta de restinga na Reserva Ecológica Estadual de Jacarepiá, Saquarema, Estado do Rio de Janeiro: II - Estrato arbustivo

Rodriguésia
RESUMO O estrato arbustivo representa o estágio mais adiantado da regeneração da floresta de restinga da Reserva Ecológica Estadual de Jacarepiá, impactada em 25% da área total em 1986.
Cyl Farney Catarino de Sá
doaj   +1 more source

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

Advanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva, Giulio Fatti, Emanuel Carlos, Guilherme Ferreira, Sumita Goswami, Suman Nandy, Luiz H. C. Mattoso, Elvira Fortunato, Caio G. Otoni, Rodrigo Martins   +9 more
wiley   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source