POST-COVID REACTIVATION OF LATENT BARTONELLA HENSELAE INFECTION: A CASE REPORT AND LITERATURE REVIEW


Fraud Detection Using Neural Networks: A Case Study of Income Tax

Detecting tax fraud is a top objective for practically all tax agencies in order to maximize revenues and maintain a high level of compliance.Data mining, machine learning, and other approaches such as traditional random auditing have been used in many studies to deal with tax fraud.The goal of this study is to use Artificial Neural Networks to ide

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Effects of rhodioloside on the neurological functions of rats with total cerebral ischemia/reperfusion and cone neuron injury in the hippocampal CA1 region

Rhodioloside, the main effective constituent of Rhodiola rosea, demonstrates antiaging and antioxidative stress functions and inhibits calcium overloading in cells.These functions imply that rhodioloside may exert protective effects on hippocampal neurons after total cerebral ischemia/reperfusion injury.In this study, male Wistar rat Carriers model

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