EOS-3D-DCNN: Ebola optimization search-based 3D-dense convolutional neural network for corn leaf disease prediction.

Corn disease prediction is an essential part of agricultural productivity. This paper presents a novel 3D-dense convolutional neural network (3D-DCNN) optimized using the Ebola optimization search (EOS) algorithm to predict corn disease targeting the increased prediction accuracy than the conventional AI methods. Since the dataset samples are generally insufficient, the paper uses some preliminary pre-processing approaches to increase the sample set and improve the samples for corn disease.

[Tuberculosis and pneumocystis: an unusual co-infection].

Introduction: Modern immunosuppressive therapy may be responsible for toxic, immunologic and infectious pulmonary diseases.

Case Report: We report the case of a 58-year old woman treated for rheumatoid arthritis who received leflunomide, corticosteroids, methotrexate and adalimumab. She developed disseminated tuberculosis, which presented with neurological symptoms (brainstem) and also pneumocystis pneumonia.