A Prediction Model to Diabetes using Artificial Metaplasticity

Diabetes is the most common disease nowadays in all populations and in all age groups. Different techniques of artificial intelligence has been applied to diabetes problem. This research proposed the artificial metaplasticity on multilayer perceptron (AMMLP) as prediction model for prediction of diabetes. The Pima Indians diabetes was used to test the proposed model AMMLP. The results obtained by AMMLP were compared with other algorithms, recently proposed by other researchers, that were applied to the same database. The best result obtained so far with the AMMLP algorithm is 89.93

A Process Model of the U.S. Federal Perspective on STEM

Although advocacy for better science, technology, engineering, and mathematics (STEM) education has a long and distinguished history in the United States, the recent emphasis has included strong rhetoric and concomitant funding. Policy makers legislate as though STEM is clearly defined. Yet, the concept remains nebulous, which limits the nation’s capacity to act in a strong and uniformed manner to address societal challenges. In this study, the authors used grounded theory methods to synthesize and interpret the federal perspective that defines STEM in the United States. The resulting theory is a model that includes five core processes: recruitment, recapture, retention, quality assurance, and quality control. These processes interact to support the system in achieving its goal of producing a qualified future workforce. Such a model has implications for advancing the overall goals of STEM as well as further research and development on the components of the model itself

Harvest and postharvest quality of sweet cherry are improved by pre-harvest benzyladenine and benzyladenine plus gibberellin applications

This study was carried out to evaluate the effects of pre-harvest benzyladenine (BA) and BA plus gibberellin (GA4+7) treatments on fruit quality attributes of ‘0900 Ziraat’ cherry at harvest and after cold storage. ‘0900 Ziraat’ cherry trees were sprayed with BA (50, 100, and 150 mg·L–1) and BA + GA4+7 (12.5, 25, and 50 mg·L–1) when fruit was at their straw-yellow color stage. All of the treated fruit were significantly firmer than control fruit. Fruit treated with 25 and 50 mg·L–1 BA + GA4+7 and 50 and 150 mg·L–1 BA had significantly higher soluble solids content (SSC) than untreated fruit. Sweet cherry trees treated with the optimum concentration of BA + GA4+7 (50 mg·L–1) yielded fruit with 15.17 % greater weight, 9.0 % higher firmness and 13.6 % higher SSC. Additional samples were harvested, placed in plastic bags, and stored at 4 °C for 30 days. At the end of the cold storage period, fruit treated with 25 and 50 mg·L–1 BA + GA4+7 and 50 and 150 mg·L–1 BA were significantly firmer than the control. 50 mg·L–1 BA + GA4+7 -treated fruit had higher SSC than untreated ones.  In conclusion, fruit treated with the optimum dose of BA + GA4+7 (50 mg·L–1) were larger and firmer than untreated fruit at harvest and this concentration had the best effects. Most of the treated fruit maintained a superior firmness and quality to control fruit during cold storage

A study on chronic obstructive pulmonary disease diagnosis using multilayer neural networks

PMID = 1881449

Tuberculosis disease diagnosis using artificial neural networks

PMID = 2050361

Spectral feature extraction of EEG signals and pattern recognition during mental tasks of 2-D cursor movements for BCI using SVM and ANN

PMID = 2737672

Multi-channel EEG signal feature extraction and pattern recognition on horizontal mental imagination task of 1-D cursor movement for brain computer interface

PMID = 2598287

A comparative study on chronic obstructive pulmonary and pneumonia diseases diagnosis using neural networks and artificial immune system

PMID = 2005290

Glossokinetic potential based tongue-machine interface for 1-D extraction

PMID = 2963317