Results 201 to 210 of about 659,872 (298)

Saturation of space weathering in shaping lunar regolith particle morphology. [PDF]

Nat Commun
Luo A, Cui Y, Wang G, Nie J, Xu C, Zhang Z, Zhang J, Li Y, Zhao Q, He H.   +9 more
europepmc   +1 more source

Soil Classification

Vadose Zone Journal, 2003
openaire   +1 more source

An artificial neural network–based deep learning model to predict combined stress impact and interaction in plants

Applications in Plant Sciences, EarlyView.
Abstract Premise Plants are frequently exposed to combinations of abiotic and biotic stresses that pose a greater threat to yield and productivity than individual stresses. However, knowledge of the impact of many stress combinations in numerous plants is limited due to the lack of experimental data, which could take decades to generate.
Piyush Priya, Prachi Pandey, Rubi Jain, Manu Kandpal, Shradha Jain, Rim Chaudhury, Venkategowda Ramegowda, Muthappa Senthil‐Kumar   +7 more
wiley   +1 more source

Urban agroforestry compositions influence ecosystem multifunctionality and service interactions. [PDF]

Sci Rep
Zhai C, Geng R, Liu G, Bao G, Wang G, Zhang Z, Liu T.   +6 more
europepmc   +1 more source

Procrustean pseudo‐landmark methods in Python to measure massive quantities of leaf shape data

Applications in Plant Sciences, EarlyView.
Abstract Premise When examining leaf shapes that are different from one another, it can be difficult to compare both the overall leaf shape and points along the leaf margin in biologically and statistically meaningful ways. Methods To address this problem, we present a simple and user‐friendly leaf shape analysis method in Jupyter Notebook and Python ...
Asia Hightower, Svea Hall, Ricardo Urquidi Camacho, Alexandra Papamichail, Evan Adamski, Claudia Colligan, Aidan Deneen, Gabriel Dunn, Justine Haziza, Claire Henley, Arnan Pawawongsak, Lachlann Simms, Sean Ward, Manica Balant, Christopher Blackwood, Charles Cannon, Andrea Case, Aman Y. Husbands, Emily B. Josephs, Zoë Migicovsky, Eric Patterson, Yenny Alejandra Saavedra‐Rojas, Daniel H. Chitwood   +22 more
wiley   +1 more source

A novel hybrid model for species distribution prediction of soil-transmitted helminthiasis (STH) under soil temperature conditions using Random Forest and Particle Swarm Optimization Algorithm. [PDF]

Sci Rep
Adekunle TA, Ogunwande JO, Ogundoyin IK, Akanbi CO, Babalola A, Ayoola TA, Roselin OF, Adeniyi YA, Oyegoke M.   +8 more
europepmc   +1 more source

Tooth eruption status and bite force determine dental microwear texture gradients in albino rats (Rattus norvegicus forma domestica)

The Anatomical Record, EarlyView.
Abstract Dental microwear texture analysis (DMTA) is widely applied for inferring diet in vertebrates. Besides diet and ingesta properties, factors like wear stage and bite force may affect microwear formation, potentially leading to tooth position‐specific microwear patterns.
Daniela E. Winkler, Isabelle Bernetière, Christine Böhmer   +2 more
wiley   +1 more source

Spatial hotspot analysis of soil erosion rate and classification of homogeneous zones using GIS in a mountainous contrasting land-use watershed. [PDF]

Sci Rep
Saeedi Nazarlu F, Khavarian Nehzak H, Mostafazadeh R, Alaei N.   +3 more
europepmc   +1 more source

Inter‐microscope comparability of dental microwear texture data obtained from different optical profilometers: Part II Deriving instrument‐specific correction equations for meta‐analyses using published data

The Anatomical Record, EarlyView.
Abstract Dental microwear texture analysis (DMTA) has emerged as a valuable method for investigating the feeding ecology of vertebrates. Over the past decade, three‐dimensional topographic data from microscopic regions of tooth surfaces have been collected, and surface texture parameters have been published for both extant and fossil species.
Mugino O. Kubo, T. Kubo, Ellen Schulz‐Kornas, T. M. Kaiser, Daniela E. Winkler   +4 more
wiley   +1 more source

Mapping at-risk transportation infrastructure assets using statistical and machine learning methods. [PDF]

Sci Rep
Salunke R, Khan S.
europepmc   +1 more source