Results 61 to 70 of about 2,497 (173)

New techniques for old bones: Morphometric and diffeomorphometric analysis of the bony labyrinth of the Reilingen and Ehringsdorf Neandertals

The Anatomical Record, EarlyView.
Abstract Neandertals are known to possess very distinctive traits in their bony labyrinth morphology, such as an inferiorly positioned posterior canal and a very low number of turns in the cochlea. Hence, the inner ear has been often used to assess the Neandertal status of fragmentary fossils.
Alessandro Urciuoli, Julia Diez‐Valero, Ignacio Martínez, Rolf Quam, Brian A. Keeling, Nicole M. Webb, Mercedes Conde‐Valverde   +6 more
wiley   +1 more source

Elliptic Fourier analysis as a tool for the taxonomic identification of isolated theropod pedal phalanges

The Anatomical Record, EarlyView.
Abstract Studies of Upper Cretaceous deposits in North America have provided invaluable insights into the continental ecosystems of this time. Theropod (Saurischia, Dinosauria) pedal phalanges are commonplace in these deposits but can be difficult to identify at a finer taxonomic resolution.
Trystan M. Warnock‐Juteau, Stephanie M. Smith, Thomas M. Cullen   +2 more
wiley   +1 more source

Humans and platyrrhines share a pattern of articular variance

The Anatomical Record, EarlyView.
Abstract Previous work has identified a pattern of articular shape variation in modern human limb joints, in which convex joint surfaces exhibit constrained variance relative to their more variable concave conarticulars. This pattern is notable given that joint morphogenesis is influenced by local biomechanical environments, which vary substantially ...
Haley Horbaly, Liam Zachary
wiley   +1 more source

Coherence‐Gated Wrapped‐Phase InSAR With Matrix‐Based Uncertainty Diagnostics for Burial‐Mound Hotspot Ranking (Sicily, Italy)

Archaeological Prospection, EarlyView.
ABSTRACT Burial mounds are key elements of Mediterranean funerary landscapes, but in intensively cultivated coastal plains their low‐relief expression is easily obscured by ploughing, levelling and rapidly changing surface conditions, making single‐date observations unreliable.
Salvatore Polverino, Hourakhsh Ahmadnia, Rokhsaneh Rahbarianyazd Ahmadnia   +2 more
wiley   +1 more source

Comparative Assessment of Landsat‐8 and SPOT‐7 Satellite Data With Field Spectral Measurements for Estimating Plant Diversity in Sandy Grasslands

Biological Diversity, EarlyView.
We compared Landsat‐8 OLI, SPOT, and hyperspectral data for estimating vascular plant diversity in China's Hunshandak Sandland. SPOT data showed the strongest correlation with alpha diversity, followed by hyperspectral data, with Landsat‐8 performing the weakest.
Ying Ye, Jianxiong Lan, Xiaoyue Zhang, Yu Peng   +3 more
wiley   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

Artificial intelligence in enzyme catalysis: Emerging trends and applications in biocatalyst engineering

The Canadian Journal of Chemical Engineering, EarlyView.
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales, Francisco Izaias da Silva Aires, Paulo Gonçalves de Sousa Junior, Calebe Da Rocha Silva, Emanuel Lino Rodrigues, Maria Cristiane Martins de Souza, José C. S. dos Santos   +6 more
wiley   +1 more source

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

The Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin, Clémence Fauteux‐Lefebvre, Jules Thibault   +2 more
wiley   +1 more source

Adapting to Water Scarcity in Mediterranean Greenhouse Agriculture: Insights From Digital Irrigation and Regulated Water Governance in Southeastern Spain

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Climate‐driven water scarcity is compounding adaptation pressures on Mediterranean greenhouse farming, particularly for small and micro agricultural firms governed by regulated water‐governance systems. This paper analyses differentiated adaptation profiles in Almería (Spain) based on an analysis of farm structure, digital irrigation adoption,
Luis J. Belmonte‐Ureña, Francisco Camacho‐Ferre, Francisco José Castillo‐Díaz   +2 more
wiley   +1 more source

Automated B‐cell and plasma cell identification using unsupervised clustering by FlowSOM and an excel‐based classification model

Cytometry Part B: Clinical Cytometry, EarlyView.
Abstract Manual gating for plasma cell (PC) identification in multiparametric flow cytometry (MFC) is time‐consuming and operator‐dependent, especially when PCs are scarce. Artificial intelligence approaches such as unsupervised clustering (e.g., FlowSOM) map high‐dimensional data that still require expert interpretation.
Ethan James Gantana, Ernest Musekwa, Erica‐Mari Nell, Zivanai Cuthbert Chapanduka   +3 more
wiley   +1 more source