The incidence of thyroid dysfunction in the area of central Bosnia with special reference to hyperthyroidism was being monitored. Considering that there were disagreements among earlier authors and even their contradictory results, the goal was to determine the percentage ratio between the thyroid hyperfunction and other dysfunctions and to identify the degree of correlation between thyroid hormones and the age structure of women. The study included 76 women aged 20 to 82 years with increased values of thyroid hormones and 49 women with reduced values of thyroid hormones. Thirty female patients with baseline thyroid hormone levels comprised a control group. Hyperthyroidism was observed in 60.8 % of women, with the highest percentage of getting ill in their fourth and fifth decade of life (64 %). The monitoring of TSH, FT4 and FT3 hormone values in thyroid dysfunction compared to women with thyroid gland hormone reference values by age groups showed that there was a statistically significant difference in the age group between 40 and 59 years (p < 0.05). For the age group of 60 years and older, there was no significant difference (p > 0.05). The TSH hormone value and the age of women are positively correlated and mutually dependent (p < 0.05). The observed reduction in the thyroid hormone values with an increase in women’s age can be considered an adaptation of the organism to the reduced need for energy and represents an important metabolic parameter of the biological process of aging.

– Today, when looking at the quality of an online item, the feedback itself plays a very important role. Based on the feedback we can decide whether the desired item is good or not, get a picture of the seller and so on. Many companies that have online shops display the most positive feedback while hiding bad ones or display only a few of them. In this research, we will help people by automating the process of deciding whether a feedback is positive or negative, which will give them time for other jobs and save money for hiring people who will work on the feedback. Since feedback on online articles is very important today, the process of determining positive and negative feedback should be made as quick and easy as possible. In this research, we will show a very simple and fast way to classify feedback as positive or negative, which means that the main question of this research is how to facilitate and speed up the process of determining the polarity of the feedback. We will use NLP using Python’s library called TextBlob. The used algorithm is called Naïve Bayes, it gave the accuracy of around 80%.

In the present study, we investigated the antiproliferative activity of essential oil from leaves of Melissa officinalis L. grown in Southern Bosnia and Herzegovina. In vitro evaluation of antiproliferative activity of the M. officinalis essential oil was carried out on three human tumor cell lines: MCF-7, NCI-H460 and MOLT-4 by MTT assay. M. officinalis essential oil was characterized by high percentage of monoterpenes (77,5%), followed by the sesquiterpene fraction (14,5%) and aliphatic compounds (2,2%). The main constituents of the essential oil of M. officinalis are citral (47,2%), caryophyllene oxide (10,2%), citronellal (5,4%), geraniol (6,6%), geranyl acetate (4,1%) and βcaryophyllene (3,8%). The essential oil showed significant antiproliferative activity against three cancer cell lines, MOLT-4, MCF-7, and NCI-H460 cells, with GI50 values of <5, 6±2 and 31±17 μg/mL, respectively. The results revealed that M. officinalis L. essential oil has a potential as anticancer therapeutic agent.

In multi-domain product development organizations, there is a continuous need to transfer captured knowledge between engineers to enable better design decisions in the future. The objective of this paper is to evaluate how engineering knowledge can be captured, disseminated and (re)used by applying a knowledge reuse tool entitled Engineering Checksheet (ECS). The tool was introduced in 2012 and this evaluation has been performed over the 2017–2018 period. This case study focused on codified knowledge in incremental product development with a high reuse potential both in and over time. The evaluation draws conclusions from the perspectives of the knowledge workers (the engineers), knowledge owners and knowledge managers. The study concludes that the ECS has been found to be valuable in enabling a timely understanding of technological concepts related to low level engineering tasks in the product development process. Hence, this enables knowledge flow and, in particular, reuse among inexperienced engineers, as well as providing quick and accurate quality control for experienced engineers. The findings regarding knowledge ownership and management relate to the need for clearly defining a knowledge owner structure in which communities of practice take responsibility for empowering engineers to use ECS and as knowledge evolves managing updates to the ECS.