Open Access Short communication

Effect of Different Spices on Enzymatic Browning of Banana Pseudostem Juice

R. Chandrakala, Promita Gundev, Lochan Singh

Journal of Scientific Research and Reports, Page 1-7
DOI: 10.9734/JSRR/2017/37919

Aim and Background: Banana pseudostem is an agricultural waste with potential health benefits but highly susceptible to browning caused by polyphenol oxidase enzyme (PPO). The aim of present study is to investigate the effect of different spices on browning of pseudostem juice.

Methods: In present study, extracts of spices namely Clove, Cardamom, Cinnamon and Ginger were added to banana juice at different concentrations (4,8,12%) and their effect on browning and color was determined.

Results: Significant effect of spice type (p < 0.05) was observed on PPO while no significant effect of spice was observed on color. The ginger (4% and 8%) and clove (12%) exhibited higher inhibition of PPO activity while highest L value (lightness) was found for juice sample treated with cardamom (12%).

Conclusion: Spices exhibited promising effect in inhibiting browning of pseudostems’ juice but color parameter did not act as an efficient marker for evaluating the same.

Open Access Original Research Article

Adaptation to the Effects of Climate Change on Health: Cost Implications for Ghana

A. Asuming Boakye, F. A. Asante

Journal of Scientific Research and Reports, Page 1-13
DOI: 10.9734/JSRR/2017/37452

This study estimates the additional investment that would be required by the Ghanaian government for adaptation to climate change in the health sector. The focus is on this sector because it is possibly the most important sector that has a direct impact on the Ghanaian population in the wake of climate change effects. The intention is to foster the debate on the cost of adaptation and the required additional investments. The estimates are based on the Methodology Guidebook for the Assessment of Investment and Financial Flows to address climate change designed by the UNFCC secretariat. The results show that Ghana would require about US$ 350 million by 2020 and US$ 352.54 million by 2050 in additional investment in the health sector. In the case of malaria, the country would require an additional investment of approximately US$ 7.6 million in 2020 and US$ 7.54 million in 2050. Recommendations include building the infrastructure for carbon markets in Ghana and provisioning financial incentives for firms that adhere to standards in limiting GHG emissions.

Open Access Original Research Article

A Moments of Generalized Two Variable Szasz Operators

Aynur Mammadova

Journal of Scientific Research and Reports, Page 1-6
DOI: 10.9734/JSRR/2017/37520

In the present paper some moments of generalized one-dimensional Szasz operator in the spaces of continuously differentiable functions is found. Also, in two-dimensional case a generalization of Szasz operator is considered and certain moments of this operator in the spaces of continuously differentiable functions is found.

Open Access Original Research Article

Fuzzy Model, Neural Network and Empirical Model for the Estimation of Global Solar Radiation for Port-Harcourt, Nigeria

Olumide Olufemi Akinnawo, Oluwaseun Caleb Adebayo, Abel Giwa Usifo, Abiodun Kazeem Ogundele

Journal of Scientific Research and Reports, Page 1-8
DOI: 10.9734/JSRR/2017/37692

The invaluable role of the estimation of global solar radiation in solar engineering systems provides very useful direction for various solar applications. This paper employs the Adaptive Neuro Fuzzy Inference System (ANFIS), Artificial Neural Network (ANN) and regressive technique for the prediction of global solar radiation(GSR) on horizontal surface using temperature swing and relative humidity as input parameters covering years 1981 to 2005. The performance of the models was tested using statistical indicators such as mean bias error (MBE), root mean square error (RMSE), and correlation coefficient (CC). The results with ANFIS and ANN method provide a relatively better prediction with ANFIS the more preferable.

Open Access Review Article

Feature Extraction Techniques for Mass Detection in Digital Mammogram (Review)

Adeyemo Temitope Tosin, Adepoju Temilola Morufat, Sobowale Adedayo Aladejobi, Oyediran Mayowa Oyedepo, Omidiora Elijah Olusayo, Olabiyisi Stephen Olatude

Journal of Scientific Research and Reports, Page 1-11
DOI: 10.9734/JSRR/2017/33314

One of the most common diseases in women today is breast cancer. The method of detection and analyzing breast images according to literature, to mention few are mammography, magnetic resonance, thermography and ultrasound of which mammography is the most accurate and low cost method. Mass is a major symptom of breast abnormality. Despite the high success of mammography in mass detection, radiologists find it difficult to interpret breast abnormality and take decision. Computer Aided Detection (CADe) and Computer Aided Diagnosis (CADx) are the two systems to improve radiologists’ accuracy of detection and, classification of breast cancer into benign or malignant prior to biopsy. However, the optimal classification rate of CAD system depends on effectiveness of feature extraction technique. This paper present review of different feature extraction Techniques (FETs) that have been adopted for mass detection and classification.