Results 211 to 220 of about 207,416 (257)

Blood Biomarkers and Surface‐Enhanced Raman Spectroscopy for Gout: A Comprehensive Review

open access: yesAdvanced Functional Materials, EarlyView.
Schematic illustrating gout disease progression from asymptomatic hyperuricemia to chronic tophaceous disease, highlighting the limitations of conventional imaging and biochemical diagnostics and the potential of engineered SERS platforms for ultrasensitive blood‐based detection of urate‐related biomarkers across disease stages, with the color gradient
Isuri Perera   +6 more
wiley   +1 more source

Ultrasmall High‐Entropy Materials: Nanoscale Effects, Synthesis, and Mechanistic Insights

open access: yesAdvanced Functional Materials, EarlyView.
This review article focuses on sub‐10 nm high‐entropy materials that combine nanoscale design with complex compositions for next‐generation applications. ABSTRACT Ultrasmall high‐entropy nanomaterials (USHENMs, <10 nm) merge multicomponent chemistry with size‐dependent effects, forming a distinct class of materials with unprecedented properties.
Yueyue He   +5 more
wiley   +1 more source

A Dual‐Functional Electrolyte Additive for Highly Reversible Zinc‐Ion Batteries

open access: yesAdvanced Functional Materials, EarlyView.
This study introduces tetrabutylammonium bromide (TBAB) as a dual‐function additive for aqueous zinc‐ion batteries. TBAB disrupts the hydrogen‐bond network of water while TBA+ adsorbs on Zn to improve interfacial wettability and regulate Zn2+ flux, resulting in suppressed dendrite growth and parasitic reactions. This synergy extended the lifespan of Zn|
Shirui Zhang   +9 more
wiley   +1 more source

Species distribution modeling

Geography Compass, 2010
Abstract The use of species distribution models (SDM) to map and monitor animal and plant distributions has become increasingly important in the context of awareness of environmental change and its ecological consequences. From their original inception as resource inventory and conservation mapping tools, SDM have evolved along with ...
openaire   +2 more sources

Modeling Species Distribution

2011
The results show that among the three approaches, the potentially suitable habitats derived from cartographic overlay cover the largest area and are likely to overestimate existing occurrence areas. The logistic regression model predicts approximately 56% as suitable area, while maximum entropy results covers approximately 9% of the sanctuary. Although
Trisurat, Yongyut, Toxopeus, A.G.
openaire   +2 more sources

Species Distribution Modeling

2019
Models of species distributions aim to describe and often to predict the spatial distribution of individual species, using as a basis the species’ relationship with its environment. At a broad level this can be done in two main ways. The first is to model the processes that underpin where the species occur: demographic or physiological processes that ...
Adam Duarte   +2 more
openaire   +2 more sources

Shaping an ecosystem for species distribution modeling

Proceedings of the 7th International Conference on Management of computational and collective intElligence in Digital EcoSystems, 2015
Species Distribution Modeling applications depend on large amounts of data containing important hidden insights and patterns that can be discovered using statistic and/or genetic algorithms to support predictive analyses for biodiversity conservation.
Michel J. M. Bieleveld   +2 more
openaire   +1 more source

Predicting the potential distribution of bamboo with species distribution models

2012 20th International Conference on Geoinformatics, 2012
Using history climate data and two representative climate change scenarios, we predicted the potential distribution of bamboo in China from 1961 to 2099 based on specie distribution models. Through evaluating the impact of presence-only, true-absence and pseudo-absence data on SVM models accuracy on the potential distribution of bamboo during 1981–2000,
Jiaxin Jin   +6 more
openaire   +1 more source

Species distribution models

Progress in Physical Geography: Earth and Environment, 2012
The main goal of species distribution modeling is to identify important underlying factors related to broad-scale ecological patterns in order to make meaningful explanations or accurate predictions. When standard statistical methods such as regression are used to formulate these models, assumptions about the spatial structure of the data and the model
openaire   +1 more source

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