Introduction: In this study, it was aimed to determine the knowledge attitude and behavior characteristics of women between the ages of 40-69 and the factors related to early detection of breast cancer and to evaluate the related factors. Method: The cross-sectional study was conducted in two urban and semi-urban areas of Balıkesir. The population of the study consisted of 2000 women aged between 40-69 years who were enrolled in two family health centers. The sample size was calculated as at least one time mammography use rates of 40% for women over 40 years of age and a minimum of 7% deviation and 95% confidence level with a minimum of 177. The sample selection was performed by face-to-face interviews with the questionnaire form structured by the researchers. The dependent variables of the study are self breast examination and mammography at any time. The independent variables are social and demographic characteristics, general health status, utilization of health services and information about institutions, the information index and attitude index about breast cancer. In the univariate analysis of dependent and independent variables, Chi-square test and Fisher's exact test were used in categorical data. Backward elimination method was used in logistic regression model. Type 1 error value p<0.05 was considered as significant in the analysis. Results: The mean age of the research group consisting of 180 people was 52,8±8,3 years. Self breast examination were higher 3.2 times (1,3-7,8) in those living in the semi-urban area; 2,5 times (1,1-6,2) in women aged 40-50, 3.0 times (1,1-6.2) the majority of life in the village, 2,5 times (1,1-6,5) without chronic disease, 3.1 times (1,3-7,4) in those with lower knowledge points, 5.8 times (2.6-12.9) those with low attitude scores (p <0.05). No mammography was found in 2,3 times (1,1-4,6) women in 40-50 years old, 3.8 times (1,1-14,1) for those without health insurance, 2.3 times (1.1-4.6) in those with lower knowledge score, 2.1 times (1.1-4.1) in those with lower attitude score (p<0.05). Conclusion: Only one-fifth of women performed regular breast self-examination and only half had mammography. Selfbreast self-examination and mammography-pulling behavior are low in socio-demographically disadvantaged groups. Knowing the community health center and going to the community health center affect the behavior positively. Therefore, it may be useful to increase the availability and accessibility of health services through community-based planned and routine screening to enable women to receive training and mammography in BSE.

The centralised approach of IoT (Internet of Things) applications leveraging cloud infrastructures to address constraints at the level of end and edge nodes is no longer viable, especially for applications with hard real-time requirements and increasing AI (Artificial Intelligence) usage. This paper presents an initial analysis of the shortcomings of such centralised AI approaches applied to the five industrial use cases considered in the ITEA3 MIRAI project and discusses the expected benefits that distributed AI approaches will bring to these use cases, namely, to lift constraints such as computing power, bandwidth, latency, security and privacy.

Dünya çapında sayısı artmakta olan rüzgar enerji santrallerinin (RES) işletme ve bakım maliyetleri, üretimin karlılığını belirleyen önemli bir kalemdir. Kestirimci bakım yöntemleriyle rüzgar türbinlerinin güvenli çalışma süreleri uzatılabilmesinin yanında, işletme ve bakım maliyetleri de düşürülebilir. Çalışmamızda, rüzgar türbini ve bileşenlerine dair bir kestirimci bakım yöntemi sunılmaktadır. Kalan faydalı ömür (RUL) yaklaşımıyla, arızaların ne kadar süre sonra gerçekleşeceği ve arızaların hangi alt sistemde meydana geleceği LSTM (Long Short-Term Memory) gibi sıralı derin öğrenme yöntemleriyle tahmin edilebilmektedir. Önerilen çözümde, faaliyetteki bir rüzgar çiftliği bünyesindeki türbinler değerlendirilmektedir.

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