Nanoengineering of electrodes infiltration: an opportunity for developing large-area solid oxide fuel cells with high power density.

Although nanoengineering of electrodes opens up the way to the development of solid oxide fuel cells (SOFCs) with improved performance, the practical implementation of such advances in cells suitable for widespread use remains a challenge. Here, the demonstration of large-area, commercially relevant SOFCs with two nanoengineered electrodes that display excellent performance is reported. The self-assembled nanocomposite LaSrCoO and CoO is strategically designed and deposited into the well-interconnected CeGdO backbone as a cathode to enable an ultra-large electrochemically active region.

PRESEE: an MDL/MML algorithm to time-series stream segmenting.

Time-series stream is one of the most common data types in data mining field. It is prevalent in fields such as stock market, ecology, and medical care. Segmentation is a key step to accelerate the processing speed of time-series stream mining.

Automatic symptom name normalization in clinical records of traditional Chinese medicine.

Background: In recent years, Data Mining technology has been applied more than ever before in the field of traditional Chinese medicine (TCM) to discover regularities from the experience accumulated in the past thousands of years in China. Electronic medical records (or clinical records) of TCM, containing larger amount of information than well-structured data of prescriptions extracted manually from TCM literature such as information related to medical treatment process, could be an important source for discovering valuable regularities of TCM. However, they are collected by TCM doctors on a day to day basis without the support of authoritative editorial board, and owing to different experience and background of TCM doctors, the same concept might be described in several different terms.