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Interior design is a process which collaborates different approaches, strategies, methodologies and practices. This study is a social responsibility project which had been conducted under the supervision of the author and the authorities of The Educational Volunteers Foundation of Turkey (TEGV). The purpose of this project is to investigate how effective the integration of knowledge-based sessions and research-project development phases, while trying to increase students’ motivation. The project had been rejenerated twice, in 2014 and 2015 spring terms, during which the visual research method was photographing, computer modelling, interviews with authorities and children. In regard to the mission of the foundation, twenty-eight interior design students (in 2014 spring term) and seventeen students (in 2015 spring term) developed concept sheets, prepared design proposals, presented and submitted them to the authorities. This paper is a brief discussion and evaluation on the design process which may help to provide a base for similar social responsibility projects. Design proposals in the study may also help to identify new research questions such as whether/how changes in social, physical and cognitive concerns may influence the psychological reactions to educational activity centers and how such impacts may help enhance the affective quality in designs where necessary. In the project, each project team was asked to develop a concept map and to identify the most important words. It was recorded that all groups used “children” as the main keyword in their concept maps. Hence, the most frequently referred terms in the concept maps were grouped, analysed and interpreted, which can also be defined as the “concept map” of the project. Another concrete outcome of the study was the encouragement of students, they got involved in the design process equally. They were honoured by “TEGV social responsibility certificates” which supported their awareness and motivation to the design process as well.

Breast cancer (BC) is one of the leading cancer in the world, BC risk has been there for women of the middle age also, it is the malignant tumor. However, identifying BC in the early stage will save most of the women’s life. As there is an advancement in the technology research used Machine Learning (ML) algorithm Random Forest for ranking the feature, Support Vector Machine (SVM), and Naïve Bayes (NB) supervised classifiers for selection of best optimized features and prediction of BC accuracy. The estimation of prediction accuracy has been done by using the dataset Wisconsin Breast Cancer Data from University of California Irvine (UCI) ML repository. To perform all these operation, Anaconda one of the open source distribution of Python has been used. The proposed work resulted in extemporize improvement in the NB and SVM classifier accuracy. The performance evaluation of the proposed model is estimated by using classification accuracy, confusion matrix, mean, standard deviation, variance, and root mean-squared error.

The experimental results shows that 70-30 data split will result in best accuracy. SVM acts as a feature optimizer of 12 best features with the result of 97.66% accuracy and improvement of 1.17% after feature reduction. NB results with feature optimizer 17 of best features with the result of 96.49% accuracy and improvement of 1.17% after feature reduction.

The study shows that proposal model works very effectively as compare to the existing models with respect to accuracy measures.

Women entrepreneurs contribute significantly to Asian economies. However, women in this region face an alarming array of barriers to entrepreneurship. This research study aims to examine the factors, i.e. government support, family social support, financial literacy and managerial skills, in building the entrepreneurial capacity of women entrepreneurs under the lens of the person–environment (P-E) fit theory. Furthermore, the study also examines the moderating effect of socio-cultural barriers in the said relationships.

For the study, the data was collected from the owners of 311 women-owned manufacturing and services sector enterprises from the northern Indian community.

Findings suggest that all the factors significantly affect the entrepreneurial capacity of women entrepreneurs, and the barriers work as a moderator between the relationships.

Based on P-E fit theory, this unique research study proposes a model to test the role of factors such as government support, family social support, financial literacy and managerial skills in developing women entrepreneurs’ entrepreneurial capacity along with examining the moderating role of socio-cultural factors contributing to the entrepreneurial capacity of women.