Knowledge discovery in big data is one of the most important applications of computing machinery today.Search is essential part of all such procedures.Search algorithms must be extremely efficient, but at the same time knowledge discovery procedures must not produce too many false positives or false negatives.False positives require post-processing
Lesion-Specific Immune Response in Granulomas of Patients with Pulmonary Tuberculosis: A Pilot Study.
The formation and maintenance of granulomas is central to the host response to Mycobacterium tuberculosis (Mtb) infection.It is 15-eg2373cl widely accepted that the lungs of patients with tuberculosis (TB) usually contain multiple infection foci, and that the granulomas evolve and differentiate independently, resulting in considerable heterogeneity
Use and limitations of malaria rapid diagnostic testing by community health workers in war-torn Democratic Republic of Congo
Abstract Background Accurate and practical malaria diagnostics, such as immunochromatographic rapid diagnostic tests (RDTs), have the potential to avert unnecessary treatments and save lives.Volunteer community health workers (CHWs) represent a potentially valuable human resource for expanding this technology to where it is most needed, remote rura
Efektifitas MANAJEMEN SIKLUS Konversi Kas PERUSAHAAN Sektor Aneka Usaha TERDAFTAR DI BEI
Penelitian ini bertujuan untuk mengetahui efektifitas pengelolaan siklus konversi kas pada perusahaan sektor aneka industri yang berdampak pada karakter keuangan dan price earning ratio.Sampel diambil dari laporan keuangan sector aneka industri periode 2012-2015 yang terdaftar di Bursa Efek Indonesia.Teknik pengumpulan data menggunakan metode Purpo
Prototype Regularized Manifold Regularization Technique for Semi-Supervised Online Extreme Learning Machine
Data streaming applications such as the Internet of Things (IoT) require processing or predicting from sequential data from various sensors.However, most of the data are unlabeled, making cyspera cream where to buy applying fully supervised learning algorithms impossible.The online manifold regularization approach allows sequential learning from pa