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"Early detection of Diabetes using Machine Learning Techniques" by Atef Hadi Ataya

Diabetes is understood to be an ailment where the human being system's blood sugar amounts tend to be unusually higher. It's acknowledged all over the globe among the long-term problems. Diabetes prevents your body's capability to help to make insulin, leading to extreme blood sugar levels as well as gluconeogenesis abnormalities. A lot of women are influenced by gestational diabetes, the industry type of diabetes occurring throughout being pregnant. Ladies tend to be more likely compared to guys to build up diabetes-related difficulties, as well as women that are pregnant may create gestational diabetes throughout their pregnancy. The recent advancement of Machine learning (ML) provides a significant part in illness detection and prediction upon many phenomena. This makes ML great techniques to predict diabetic disease prediction. This research chose the well-known Logistic Regression (LgR), k-Nearest Neighbors (k-NN), Support Vector Machine (SVM), Random Forests (RF), ....

Logistic Regression , Nearest Neighbors , Support Vector Machine , Random Forests , Artificial Intelligence , Disease Detection , Machine Learning ,

Artificial intelligence is used for predictive policing in the US and UK – South Africa should embrace it, too

Artificial intelligence is used for predictive policing in the US and UK – South Africa should embrace it, too
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Cape Town , Western Cape , South Africa , United States , United Kingdom , South African , Thomas Bayes , Tom Cruise , Steven Spielberg , Philipk Dick , African Police Service , Chicago Police Department , Minority Report , New Year , Recursive Feature Elimination , Citizen Law Enforcement Analysis , Random Forests , Extremely Randomized Trees , South African Police Service ,

Frontiers | A species-specific lncRNA modulates the reproductive ability of the asian tiger mosquito

Long non-coding RNA (lncRNA) research has emerged as an independent scientific field in recent years. Despite their association with critical cellular and metabolic processes in plenty of organisms, lncRNAs are still a largely unexplored area in mosquito research. We propose that they could serve as exceptional tools for pest management due to unique features they possess. These include low inter-species sequence conservation and high tissue specificity. In the present study, we investigated the role of ovary-specific lncRNAs in the reproductive ability of the Asian tiger mosquito, Aedes albopictus. Through the analysis of transcriptomic data, we identified several lncRNAs that were differentially expressed upon blood feeding; we called these genes Norma (NOn-coding RNA in Mosquito ovAries). We observed that silencing some of these Normas resulted in significant impact on mosquito fecundity and fertility. We further focused on Norma3 whose silencing resulted in 43% oviposition reductio ....

La Ruche , United States , Nord Pas De Calais , Languedoc Roussillon , Theva Das , Leica Microsystems , Feelnc Wucher , Van Rij , Department Of Agriculture , Department Of Biochemistry Biotechnology , Megaview Science Co , Scholarships Foundation , Department Of Biochemistry , European Union Social , Human Resources Research , Insecticide Resistance Action Committee , Doctorate Research , Human Resources Development , Thermo Fisher Scientific , Time Thermal Cycler , M Value In Vitro , San Jose , Sequence Read Archive , Genome Annotation Pipeline , False Discovery Rate , Dirichlet Process ,