Results 161 to 170 of about 120,658,700 (212)

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Integration of Liquid Handling Robotics, Turbidimetry, and Machine Learning Toward Inverse Design of Lower Critical Solution Temperature Polymer Formulations

Advanced Intelligent Systems, EarlyView.
An integrated OT‐2/plate reader platform automates LCST cloud point measurement of NIPAM‐co‐DMAEMA copolymers across high‐dimensional formulation spaces. Machine learning trained on the resulting high‐throughput datasets achieves R2 up to 0.96 and enables inverse design of polymer formulations to target transition temperatures with <1% error.
Lachlan Alexander, Vianna F. Jafari, Tanja Junkers   +2 more
wiley   +1 more source

Entropy inequalities for some multivariate distributions

In this paper, we derive some monotonicity properties of generalized entropy functionals of various multivariate distributions. These include the distributions of random eigenvalues arising in many hypothesis testing problems in multivariate analysis ...
Peddada, Shyamal Das, Richards, Donald St. P.   +1 more
core  

Information framing and the impact of nutrition label serving size change

American Journal of Agricultural Economics, EarlyView.
Abstract The framing of information can significantly influence how consumers interpret and respond to it. This paper investigates how the change in serving sizes in Nutrition Facts Panel (NFP) affects consumer choices for carbonated soft drinks (CSD). We first estimate a reduced form difference‐in‐differences (DiD) model to document causal effects on ...
Yuxiang Zhang, Yizao Liu, Linlin Fan
wiley   +1 more source

Multivariate linear rank statistics for profile analysis

For some general multivariate linear models, linear rank statistics are used in conjunction with Roy's Union-Intersection Principle to develop some tests for inference on the parameter (vector) when they are subject to certain linear constraints.
Sen, Pranab Kumar, Chinchilli, Vernon M.
core  

Linking community structure and climate vulnerability in desert plant assemblages of southern California

American Journal of Botany, EarlyView.
Abstract Premise Desert plant assemblages in southern California provide an opportunity to link patterns of community structure with climate‐driven vulnerability in a rapidly changing environment. California sustains an exceptionally diverse flora of approximately 4300 plant species, with 31% identified as endemic.
Hector Zumbado‐Ulate, Luis E. Barrios, Danelle A. Baronia, G. Darrel Jenerette, Lynn C. Sweet   +4 more
wiley   +1 more source

Species with U‐shaped geographic ranges as an opportunity to study early stages of divergence: The case of Ipomoea microsepala

American Journal of Botany, EarlyView.
Abstract Premise The study of the early stages of divergence between populations is crucial to understanding how species and biodiversity originate. Geographic distributions that capture some aspects of the process of divergence, such as those that are markedly U‐shaped, could offer a window to identify systems undergoing incipient speciation, which ...
Itzel A. Piña‐de la Rosa, N. Ivalú Cacho   +1 more
wiley   +1 more source

Evolutionary history and taxonomy of the genus Zea

American Journal of Botany, EarlyView.
Abstract Premise Taxonomic differentiation of teosinte species (Zea spp.), the closest relatives of maize (Z. mays) is crucial for understanding their distribution, ecology, and evolutionary history. Resolving the taxonomic uncertainties is of scientific interest and has practical implications for biodiversity management, preservation, and utilization.
José de Jesús Sánchez González, Lino De La Cruz Larios, José A. Ruiz‐Corral, Benjamín Hernández, Diana M. Rivera‐Rodríguez   +4 more
wiley   +1 more source

The Presence and Percentage of Circulating Nucleated Red Blood Cells Reveal Distinct Characteristics in Adults With Sickle Cell Disease

American Journal of Hematology, EarlyView.
ABSTRACT Although circulating nucleated red blood cells (cNRBCs) have previously been detected in patients with sickle cell disease (SCD), their prevalence and clinical significance during steady‐state disease have not been established. We retrospectively analyzed 270 adults with an SS or Sβ0‐thalassemia genotype.
Ugo Boccadifuoco, Ivan Lerner, Auria Godard, Luc Darnige, Laure Joseph, Wassim El Nemer, Geoffrey Cheminet, Jean‐Benoit Arlet   +7 more
wiley   +1 more source

Proteomic Profiling of Nodal T‐Follicular Helper Cell Lymphoma Reveals Distinct Biological Signatures and Improves Prognostic Stratification Beyond the IPI

American Journal of Hematology, EarlyView.
ABSTRACT Nodal T‐follicular helper cell lymphoma (nTFHL), most commonly of angioimmunoblastic type, exhibits heterogeneous clinical outcomes that are not fully explained by current clinical and biological variables. While genetic alterations have been extensively investigated, its proteomic landscape remains largely unexplored.
David Beauvais, Yanis Zirem, Tristan Cardon, Soulaimane Aboulouard, Romain Dubois, Isabelle Fournier, Franck Morschhauser, Michel Salzet, Ibrahim Yakoub‐Agha, Marie Duhamel   +9 more
wiley   +1 more source