OptiMo-LDLr: An Integrated In Silico Model with Enhanced Predictive Power for LDL Receptor Variants, Unraveling Hot Spot Pathogenic Residues. [PDF]
OptiMo‐LDLr is an advanced computational model that improves predictions of LDL receptor (LDLr) variant pathogenicity. It outperforms other methods, accurately distinguishing between pathogenic and benign LDLr variants, and identifies critical residues in all domains except the signal peptide and O‐linked domain. OptiMo‐LDLr also visualizes 3D hot spot
Larrea-Sebal A +12 more
europepmc +2 more sources
Analysis of Climatic Factors Affecting Actual Evapotranspiration through Weighted Regression Model. Case study: Eastern Towns of Uremia Lake [PDF]
Introduction For the first time, Faddingham presented a geographic weight regression model. He tried to study the aspects of space heterogeneity. After that, Bronson examined the relationship between housing prices and areas.
Zeynab Jawanshir +3 more
doaj +1 more source
Egypt's Nile delta area is a wealthy land for growing Egypt's principal crops such as rice. Being at the end of the Nile River the water shortage problem is very serious.
Hossam El-Din Fawzy +3 more
doaj +1 more source
Land surface temperature assessment in relation to land-use/land-cover (A case study: Isfahan City, Central Iran) [PDF]
Most of critical issues such as increase in pollution levels, sudden climatic changes and the rise of temperature in the urban area, leading to the formation of Urban Heat Islands (UHI), have been resulted from urbanization.
Sayyad Asghari Saraskanrood +2 more
doaj +1 more source
Assessment of downscaling methods for estimating evapotranspiration by combining MODIS and Landsat 8 images [PDF]
Evapotranspiration (ET) is one of the most important parameters in agricultural water management which has spatial and temporal variations. Remote sensing-based algorithms of ET estimation have been applied in several studies.
Nasim Kamali, Bahman Farhadi Bansouleh
doaj +1 more source
Review of Iran's Climatic Zoning Based On Some Climate Variables Investigating the Capability of Satellite-Based Biophysical Indexes of Energy Balance Components and Evapotranspiration in Evaluating Soil Moisture Changes [PDF]
Surface soil moisture is one of the important variables in hydrological processes that affects the exchange of water and energy flow in relationship between land surface and atmosphere.
Fatemeh Boomeh +1 more
doaj +1 more source
Assessment of Surface Energy Balance Algorithm for Land (SEBAL) model and biophysical parameters derived from remotely- sensed data in estimating of soil moisture in arid lands (Case study: Jarghoye, Isfahan) [PDF]
One of the key components of energy and hydrological processes is soil moisture, which is measured indirectly, because of exiting some problems in measuring directly.
Raheleh Sasadeghzade Poode +3 more
doaj +1 more source
An Analyze of Urban Temperature Using Energy Balance Algorithm for Land (SEBAL) in Yogyakarta City
This study examines the Land Surface Temperature (LST) using the Surface Energy Balance Algorithm for Land (SEBAL) model in Yogyakarta. SEBAL is relied upon for its accurate LST predictions because it takes into account the influence of vegetation and ...
Nursida Arif, Nasir Nayan
doaj +1 more source
Estimate of evapotranspiration in eastern Amazonia using SEBAL
Neste estudo, foram analisadas as estimativas de fluxos de calor latente e sensível através do Acqua/MODIS para a Floresta Nacional de Caxiuanã, Melgaço-Pa. Para tal, utilizaram-se dados de imagens orbitais combinados aos dados observacionais do Projeto LBA (Experimento de Grande Escala da Biosfera-Atmosfera na Amazônia), coletados em 2008 na torre ...
Junior, Pedro Ferreira +4 more
openaire +2 more sources
The surface energy balance algorithm for land (SEBAL) has been successfully applied to estimate evapotranspiration (ET) and yield at different spatial scales.
Carla Grosso +7 more
doaj +1 more source

