Visual exploration of topics in multimedia news corpora

As news contents grow daily, the demand for tools to help users make sense of large document corpus will continuously be on the increase. Such tools will particularly be useful for journalist and ordinary users who intend to explore large collection of news documents for various analytical tasks. When users attempt to explore documents, they are usually in search for a particular topic of interest, or to compare various topics for similarity, or to see when in time a particular topic was discussed or to explore the distribution of a topic over time or to see how frequent a particular topic was discussed in the corpus or in general to test a particular hypothesis. Existing tools fall short in providing effective and suitable interaction mechanism to enable users answer these questions in a single application framework. In this paper we presented a framework that gives users the opportunity to easily answer questions relating to their exploratory tasks. We developed new visual elements and augment them with existing interfaces to provide users with ample options and flexibility to explore multimedia news corpus from different angles depending on their analytic tasks. Our method uses machine learning for topic extraction, clustering and word cloud generation. Our approach effectively combines both overview + detail and focus + context schemes to enrich users experience with exploring large collection of multimedia news documents. Our framework ensures synchronization of the various visual interfaces to provide immediate feedback on user's interactions. To demonstrate the effectiveness of our approach, we presented some realistic use cases from the perspective of a news analyst. And based on our observations, we identified some possible directions for future studies

Coagulation Profile In Diabetes Mellitus And Its Association with Microvascular Complications in Uncontrolled and Controlled Diabetes at Edo Specialist Hospital, Benin-City, South-South, Nigeria

Diabetes mellitus induces coagulopathies by glycating haemoglobin, prothrombin, fibrinogen, and other proteins involved in the clotting mechanism. Shortened PTTK and PT represent a hypercoagulable state related to an elevated thrombotic risk and a negative cardiovascular effect, both of which can lead to the onset and progression of microvascular and macrovascular problems. The study aims to compare the coagulation profile in diabetes-related microvascular complications in clients with uncontrolled and controlled diabetes at an Edo specialty hospital in Benin City. A hospital-based case-control study was carried out at ESH in Benin City. Two hundred eighty individuals were recruited for the study, including 215 diabetes patients (55 type I diabetes, 160 type II diabetes, and 65 non-diabetics) attending the outpatient department of ESH in Benin City. Blood was drawn for coagulation and biochemical assays. Diabetes patients had significantly lower levels of PT and PTTK compared to non-diabetes controls (p<0.05). Fibrinogen and D-dimer levels were considerably higher (p<0.05). The PTTK level was much lower in type 2 diabetes than in type 1 diabetes, and there was a significant difference in platelet count between type 1 and type 2 diabetes. Female diabetes patients had lower levels of PTTK and PT than male diabetic patients. Furthermore, in diabetes with complications, the levels of PTTK and platelet count were lower (p0.05). It was discovered that insulin treatment decreased platelet count, whereas sulfonylurea increased fibrinogen levels in people with diabetes. Diabetes may increase the risk of clotting, as indicated by shorter PTTK, PT, and higher fibrinogen and D-dimer levels compared to controls. The coagulation profile should be evaluated as a regular screening test in diabetes patients to reduce the incidence and prevalence of vascular burden and to improve quality of life