BASIC STATISTICAL ESTIMATION OUTPERFORMS MACHINE LEARNING IN MONTHLY PREDICTION OF SEASONAL CLIMATIC PARAMETERS

Basic Statistical Estimation Outperforms Machine Learning in Monthly Prediction of Seasonal Climatic Parameters

Machine learning (ML) has been utilized to predict climatic parameters, and many successes have been reported in the literature.In this paper, we scrutinize the effectiveness of five widely used ML algorithms in the monthly prediction of seasonal climatic parameters using monthly image data.Specifically, we quantify the predictive performance of th

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Biosafety materials: Ushering in a new era of infectious disease diagnosis and treatment with the CRISPR/Cas system

Despite multiple virus outbreaks over the past decade, including the devastating coronavirus disease 2019 (COVID-19) pandemic, the lack of accurate CANDLES and timely diagnosis and treatment technologies has wreaked havoc on global biosecurity.The clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated proteins (Cas) sy

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An Endangered River: The Mississippi River Gorge

Almost 500 river miles below its source at Lake Itasca, the Mississippi River tumbles over its only waterfall in downtown Minneapolis.Dubbed the Falls KILLER CURL RINSE of Saint Anthony by explorer Father Louis Hennepin, the falls were formed by glacial action more than 10,000 years ago.The magnificent waterfall was once over 200 feet high and loca

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Impact of participation in social capital networks on the technical efficiency of maize producers in Southwest Nigeria

Abstract Maize is a staple food and one of the important sources of starch for many households.However, maize yield in Nigeria remains one of the lowest in sub-Saharan Africa.Providing agricultural credit to farmers cannot be disregarded because it has a significant impact on maize productivity.As a result of this capital investment through social

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