Results 141 to 150 of about 9,824,356 (289)

BAYESIAN MODELS FOR SPECIES DISTRIBUTION MODELLING WITH ONLY-PRESENCE RECORDS

Tropical and Subtropical Agroecosystems, 2015
One of the central issues in ecology is the study of geographical distribution of species of flora and fauna through Species Distribution Models (SDM). Recently, scientific interest has focused on presence-only records.
Bartolo de Jesús Villar-Hernández, Sergio Pérez-Elizalde   +1 more
doaj  

Integrating population genetics and species distribution modelling to guide conservation of the noble crayfish, Astacus astacus, in Croatia. [PDF]

Sci Rep, 2022
Lovrenčić L, Temunović M, Gross R, Grgurev M, Maguire I.   +4 more
europepmc   +1 more source

TRPML1 agonist ML‐SA5 attenuates pulmonary fibroblast activation by suppressing mTOR and restoring autophagic flux

FEBS Open Bio, EarlyView.
TGF‐β1 stimulation downregulates lysosomal channel TRPML1 in pulmonary fibroblasts. The TRPML1 agonist ML‐SA5 suppressed fibroblast‐to‐myofibroblast activation and collagen production. Mechanistically, ML‐SA5 inhibited mTOR phosphorylation, restored autophagic flux, and its effects were enhanced by rapamycin (mTOR inhibitor) and reversed by MHY1485 ...
Jiatong Yao, Xiaoting Kang, Lulu Meng, Shaoxuan Zhang, Qiujie Li, Jinyu Zhou, Mengyue Xue, Chu Li, Hua Zhu, Pengzhou Hang, Jing Zhao   +10 more
wiley   +1 more source

Molecular phylogeography and species distribution modelling evidence of 'oceanic' adaptation for Actinidia eriantha with a refugium along the oceanic-continental gradient in a biodiversity hotspot. [PDF]

BMC Plant Biol, 2022
Guo R, Zhang YH, Zhang HJ, Landis JB, Zhang X, Wang HC, Yao XH.   +6 more
europepmc   +1 more source

Using fluorescence fluctuation spectroscopy to quantify molecular dynamics within cells

FEBS Open Bio, EarlyView.
Microscopy techniques like fluorescence correlation spectroscopy (FCS) and number and brightness analysis (N&B) allow to quantify concentrations, diffusion rates, and oligomerization of fluorescently labeled molecules in the living cell. In this protocol the principles of how to set up these types of experiments are described including calibration ...
Mark A. Hink
wiley   +1 more source

Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment. [PDF]

PLoS Comput Biol, 2021
Deneu B, Servajean M, Bonnet P, Botella C, Munoz F, Joly A.   +5 more
europepmc   +1 more source

Characterization of the key membrane protein cytochrome Cyc2 from Ghiorsea bivora

FEBS Open Bio, EarlyView.
This study reports the first detailed biochemical analysis of Cyc2TAG1_1, a cytochrome protein involved in microbial iron oxidation. We produced and purified this enzyme in E. coli, then measured its iron‐oxidizing efficiency, and characterized its electrical and structural properties.
Josiane Azizi, Alain Dolla, Frauke Baymann, Celine Rommevaux, Latifa Elantak, Helene Gaussier, Matthieu Nouailler   +6 more
wiley   +1 more source

Thermal Niche for Seed Germination and Species Distribution Modelling of Swietenia macrophylla King (Mahogany) under Climate Change Scenarios. [PDF]

Plants (Basel), 2021
Sampayo-Maldonado S, Ordoñez-Salanueva CA, Mattana E, Way M, Castillo-Lorenzo E, Dávila-Aranda PD, Lira-Saade R, Téllez-Valdés O, Rodriguez-Arevalo NI, Ulian T, Flores-Ortíz CM.   +10 more
europepmc   +1 more source

Hydrogel platforms for 3D cardiac tissue engineering and fibrotic disease modelling

FEBS Open Bio, EarlyView.
Hydrogel‐based cardiac tissue models are advancing our understanding of heart health and disease. By incorporating electrical conductivity, aligned structures, and tunable mechanical properties, these platforms better replicate the complex environment of native heart tissue.
Harrison Porritt, Annika Winbo, Jenny Malmström   +2 more
wiley   +1 more source

The global distribution and risk prediction of Anaplasmataceae species: a systematic review and geospatial modelling analysisResearch in context

EBioMedicine
Summary: Background: The family Anaplasmataceae, reclassified under the order Rickettsiales, represents a highly complex group that poses an increasing global threat. However, their infection risk remains poorly understood. We aimed to map the diversity,
Xiao-Bin Huang, Tian Tang, Jin-Jin Chen, Yuan-Yuan Zhang, Chen-Long Lv, Qiang Xu, Guo-Lin Wang, Ying Zhu, Yue-Hong Wei, Simon I. Hay, Li-Qun Fang, Wei Liu   +11 more
doaj   +1 more source