Meeting News: Classifying enzyme inhibitors using MS

Natural alpha-glucosidase inhibitors rapid fishing from Cyperus rotundus using immobilized enzyme affinity screening combined with UHPLC-QTOF MS

An efficient and rapid affinity-based screening method for directly fishing out natural alpha-glucosidase inhibitors from Cyperus. rotundus extract by using immobilized enzyme technology combined with UHPLC-QTOF MS analysis was established. As a results, without time-consuming and laborious isolation workload and false positive interference, five natural alpha-glucosidase inhibitors were succes...

Natural alpha-glucosidase inhibitors rapid fishing from Cyperus rotundus using immobilized enzyme affinity screening combined with UHPLC-QTOF MS

An efficient and rapid affinity-based screening method for directly fishing out natural alpha-glucosidase inhibitors from Cyperus. rotundus extract by using immobilized enzyme technology combined with UHPLC-QTOF MS analysis was established. As a results, without time-consuming and laborious isolation workload and false positive interference, five natural alpha-glucosidase inhibitors were succes...

Classifying Amharic News Text Using Self-Organizing Maps

The paper addresses using artificial neural networks for classification of Amharic news items. Amharic is the language for countrywide communication in Ethiopia and has its own writing system containing extensive systematic redundancy. It is quite dialectally diversified and probably representative of the languages of a continent that so far has received little attention within the language pro...

Negative News No More: Classifying News Article Headlines

Classifying Financial News With Neural Networks

One of the biggest challenges facing financial research and trading organizations is how to well exploit unstructured financial information such as textual announcements. The automatic classification of this type of data poses many challenges for learning systems because the feature vector used to represent a document must capture some of the complex semantics of natural language. In this paper...