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Archive

 Open Access DOI:10.23937/2378-3656/1410276

Assessment of Knowledge, Attitude and Practice (KAP) on Prevention of Malaria at Gode Lalo Kebele (010), Anchar Woreda, West Haraarge Zone, Oromia, Ethiopia: A Community Based Descriptive Cross-Sectional Study Methods

Rahel Miliyon Mokonen, BSc, Maleda Tefera Iffa, BSc, MSc and Masresha Leta Serbesa, BSc, MSc

Article Type: Case Report | First Published: July 31, 2019

Malaria is a major public health problem in worldwide and causes high morbidity and mortality, despite global efforts to eradicate the disease. While the disease is easily preventable, curable and treatable, it remains a big health threat to many communities all over the world; most especially in Sub-Saharan Africa. Malaria affects about 5% the world’s population. It is the leading cause of death in children under 5 years in sub Saharan Africa still among the ten top leading causes of morbidit...

 Open Access DOI:10.23937/2378-3656/1410275

Progressive Medullary Congestion Resulting in Life-Threatening Condition Caused by Lower Cervical Dural Arteriovenous Fistula Successfully Treated with Endovascular Treatment: A Case Report and Literature Review

Prasert Iampreechakul, Punjama Lertbutsayanukul, Yodkhwan Wattanasen and Somkiet Siriwimonmas

Article Type: Case Report | First Published: July 25, 2019

The authors describe a patient with lower cervical dural arteriovenous fistula (DAVF), subsequently developing brainstem dysfunction following progressive myelopathy caused by extension of venous congestion from the cervicothoracic cord to the medulla oblongata. A 34-year-old woman suffered from progressive paraparesis with bowel/bladder dysfunction for 2 months. Before transferring to our institute, she obtained magnetic resonance imaging (MRI) of the neck, showing abnormal hyperintensity on T2...

 Open Access DOI:10.23937/2378-3656/1410274

The Performance of Novel Wavelet for Lung Image Analysis

Donia Ben Hassen and Sihem Ben Zakour

Article Type: Research Article | First Published: July 03, 2019

Even the advancement in the medical image, chest radiography still the most common used and cheapest method in detecting lung diseases. The generated image allows physicians to screen the normal, benign and malignant tissues in the lung. In order to better classify and reduce noise in the image's information, the employ of preprocessing methods is unavoidable. A novel scheme for lesions classification in chest radiographs is presented in this paper by combining discrete wavelet analysis (WA), FC...

Volume 6
Issue 7