DETERMINANTS OF ADAPTATION STRATEGIES TO OFFSET DECREASING PROVISIONING ECOSYSTEM SERVICES IN THE SAVANNAH ECOLOGICAL ZONE OF GHANA

Determinants of adaptation strategies to offset decreasing provisioning ecosystem services in the Savannah ecological zone of Ghana

Complex environmental challenges associated with altering provisioning ecosystem services (PES) impede the livelihood requirements of environmental reliant households in Ghana.International efforts at unearthing sustainable pathways have acknowledged the role of adaptation as a policy option.This notwithstanding, existing studies has largely focuse

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COSTS AND PROFITABILITY IN FOOD PROCESSING: PASTRY TYPE UNITS

For each company, profitability, products quality and customer satisfaction are the Bike Parts - Wheel Parts most importanttargets.To attaint these targets, managers need to know all about costs that are used in decision making.Whatkind of costs? How these costs are calculated for a specific sector such as food processing? These are only a fewquest

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Quantifying the Matrix Metalloproteinase 2 (MMP2) Spatially in Tissues by Probe via MALDI Imaging Mass Spectrometry

As a matrix metalloproteinase, the abnormal expression of MMP2 is associated Neck Serum with multiple biological processes, including tissue remodeling and cancer progression.Therefore, spatial analysis of MMP2 protein in tissues can be used as an important approach to evaluate the expression distribution of MMP2 in complex tissue environments, whi

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Using Sentinel-2 and canopy height models to derive a landscape-level biomass map covering multiple vegetation types

Vegetation biomass is a globally important climate-relevant terrestrial carbon pool and also drives local hydrological systems via evapotranspiration.Vegetation biomass of individual vegetation types has been successfully estimated from active and passive remote sensing data.However, for many tasks, landscape-level biomass maps across several veget

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Comparative Analysis of Deep Learning Architectures for Penetration and Aspiration Detection in Videofluoroscopic Swallowing Studies

KARAMBIT This study concentrates on machine learning, specifically deep learning techniques, to automatically detect the presence of aspiration or penetration in videofluoroscopic swallowing studies (VFSS).A comparative analysis is conducted on various deep learning architectures such as 2D Convolutional Neural Networks (2D-CNN), Long Short-Term Me

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