THE UTILIZATION OF MICROBES FOR SUSTAINABLE FOOD PRODUCTION

The utilization of microbes for sustainable food production

As the global human population continues to Bang grow, the demand for food rises accordingly.Unfortunately, anthropogenic activities, climate change, and the release of gases from the utilization of synthetic fertilizers and pesticides are causing detrimental effects on sustainable food production and agroecosystems.Despite these challenges, there

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PUBLIC WAGE BILL, DEBT CONSTRAINTS, AND SERVICE DELIVERY COMPETITION FOR LIMITED PUBLIC FUNDS: SOUTH AFRICAN GOVERNMENT

The National Treasury, together with the Provincial Treasurers, are the custodians of public finances and they are responsible for budgeting for the national and provincial government departments.Currently, they are facing a major battle to rescue the public sector from the over bloated public wage bill and debt that is growing at a faster pace eac

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The role of image schemas, conceptual metaphor and metonymy in structuring the conceptual field of sound in Turkish/Türkçede ses kavramsal alanının yapılandırılmasında imge şemaları, kavramsal metafor ve metonimi

In this research, the concept of sound in Turkish has been considered in terms of its occurrences in the fields of music and speech and analyzed in the related metalanguage and daily language.As it is the case for most conceptual field, we have a body of structured knowledge regarding the sound.It is understood from the image schematic, conceptual

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Two Decades of Global Progress in Authorized Advanced Therapy Medicinal Products: An Emerging Revolution in Therapeutic Strategies

The introduction of advanced therapy medicinal products (ATMPs) to the global pharma market has been revolutionizing the pharmaceutical industry and has opened new routes for treating various types of cancers and incurable diseases.In the past two decades, a noticeable part of clinical practices has been devoting progressively to these products.The

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An Efficient and Simplified Model for Forecasting using SRM

Learning form continuous financial systems play a vital role in enterprise operations.One of the most sophisticated non-parametric supervised learning classifiers, SVM (Support Vector Machines), provides robust and accurate results, however it may require intense computation and other resources.The heart of SLT (Statistical Learning Theory), SRM (S

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