PREDICTING RENEWABLE ENERGY INVESTMENT USING MACHINE LEARNING

Predicting Renewable Energy Investment Using Machine Learning

In order to combat climate change, many countries have promised to bolster Renewable Energy (RE) production following the Paris Agreement with some countries even setting a goal of 100% by 2025.The reasons are twofold: capitalizing on carbon emissions whilst concomitantly benefiting jilungin dreaming tea from reduced fossil fuel dependence and the

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Identification of key eRNAs for intervertebral disc degeneration by integrated multinomial bioinformatics analysis

Abstract Background Intervertebral disc degeneration (IVDD) is a common degenerative condition leading to abnormal stress distribution under load, causing intervertebral stenosis, facet joint degeneration, and foraminal stenosis.Very little is known about the molecular mechanism of eRNAs in glitter foam vellen action IVDD.Methods Gene expression pr

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Endovascular Strategies in the Management of Acute Limb Ischemia

Acute limb ischemia (ALI) represents one of the most common emergent scenarios encountered by a vascular specialist.Despite expedient revascularization, high rates here of limb loss are reported along with high mortality rates which are second only to ruptured abdominal aortic aneurysms.Surgical revascularization is standard of care.Endovascular te

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