There are many traditional tests to diagnose colour vision deficiencies. However, these tests may lead to many undesired conditions that can decrease the reliability of the tests. In this study, a novel computerized colour vision test has been developed based on Ishihara plates, which is most widely used colour vision tests. Both proposed test and standard Ishihara pseudoisochromatic plates have been applied to colour-blind and non-colour-blind participants. The results are compared with similar studies in the literature and analyzed with the t-test. The test proposed is also applied to the same subjects with various viewpoint and ambiance conditions. In addition, one-to-one scanned Ishihara 38-plate test is applied to the same participants to validate the test results. We have achieved 96.15% sensitivity and 92.59% specificity by the computerized test. In addition, Ishihara 38 plate version were scanned by a scanner in order to be tested on the same participants and results were investigated in this study.

This article identifies and analyses behavioral drivers of South African managers’ behaviour to proactive health care. More specifically, the results enlighten patients’ attitude-driven behaviour aiming at how to avoid buying the unsought medical products and service. A convenience snowball sample of approximately 300 managers in Gauteng and North-West Provinces in South Africa were drawn, and a total of 180 complete questionnaires were received back. The validated questionnaire by Fullerton and McCullough (2014) were used to collect the data on a six-point Likert scale. Exploratory factor analysis identified seven factors, namely: Health is my own responsibility (16.9%), Preventative health (10.2%), Information on illnesses (8.0%), Really ill before visiting doctor (7.7%), Follow medical advice (6.5%), Health plan (5.8%), Corrective health actions (5.2%) and State Health plan (4.4%). The factors explain a cumulative variance of 64.9%%. The first five factors are reliability since their Cronbach Alpha coefficients exceed 0.60. The last two factors, Health plan and Corrective health actions are not regarded as reliable factors because their alpha coefficients are below 0.30. The predictive abilities of the demographic variables towards the identified factors of proactive health behaviour were determined using multiple regression as statistical tool. The demographic variable Racial group turned out to be a significant (p<0.05) predictive variable for the factor Health plan (B= -0.398; R2 = 0.340). Regarding inter-correlations between the factors, a number of the factors show significant correlations (p<0.05; p<0.010) between one another, however these correlations are low (<0.30). This indicates that the factors are individualistic in nature and that they require focussed individual managerial attention. The results are of value to management of health plans, health care facilities and also to customers aiming not to become patients. In addition, limited research in South Africa has been done on proactive buying behaviour, and this should also be of value to other researchers and academia.

Theoretical approaches of agricultural resource potential formation have been observed in the article. It has been determined that the process of resource potential forming of the enterprise is a part of its strategy. The classification of theoretical approaches of agricultural resource potential formation has been presented according to the sphere of enterprise activity. Sustainability has been determined as the main principle of agricultural resource potential formation. The groups of factors influenced on resource potential formation have been mentioned in the article. Reproduction of all resources in agriculture has been defined like the main condition of their effective using. It has been improved that all the elements of resource potential should be taken into account while fulfilling the process of simple or extended reproduction. It has been\nproposed that the process of reproduction of resource potential in agriculture should be done with state participation.

There are still shortcomings in the search to detect\nthe fingertip in complex environment, which is used in many areas\nnotably in the human-computer interaction field. In this paper, a\ngesture recognition system is proposed to classify the hand motion\ntrajectory generated by fingertip in conjunction with multi-class\nSupport Vector Machine. Firstly, the hand gesture path will take\nplace with help of color information and 3D depth map from\nKinetic cameras. Secondly, the dynamic feature as Hu-moment is\nextracted and employed to the SVM classifier either for training\nor testing. Finally, multi-SVM is constructed to perform the\nclassification processes automatically. To demonstrate coactions\nof the suggested components and the electiveness of gesture\nspotting and recognition system, an application of gesture-based\ninteraction with alphabets and numbers is implemented. The\nexperiments demonstrate that the proposed systems are accurate\nand efficient for spatio-temporal variability. In addition, these\nsystems automatically recognize isolated hand gestures with\nsuperior performance and low computational complexity when\napplied to several video samples containing complex situations.

This study was conducted in order to analyze attitudes of patients diagnosed with schizophrenia, who applied to a community mental health center in Turkey, towards coping with factors causing stress in these patients. The sample group of this descriptive and cross-sectional study consisted of 53 patients, who were diagnosed with schizophrenia, received treatment at a State Hospital Community Mental Health Center and agreed to participate in the study. Data were collected between 2013 and 2014, and by using Sociodemographic Information Form, Coping Assessment Questionnaire (COPE) inventory. Data were assessed through Percentage, Mann-Whitney U, and Kruskal Wallis Tests. COPE mean score of the patients was found to be 168.62±27.99, while problem-focused coping subscale mean score was determined as 59.43±12.64, emotion-focused coping subscale mean score was 63.49±10.64 and non-functional coping sub-scale score was 45.69±10.05, respectively. A statistically significant difference was found between COPE substance use subscale and non-functional coping total subscale scores of the patients by their alcohol use; and also a statically significant difference was found between problem-focused coping and use of emotional social support subscale scores of the patients by their gender (p<0.05). Patients participating in the study were determined by using emotion-focused coping methods at most.