To assess the possibility of the eruption of the lower third molar on the basis of the measured parameters: retromolar space, mesiodistal crown width of a molar and the third molar angulation.
The ...investigation included 104 patients both sexes (43 boys, and 61 girls), 16 to 25 years old (mean age, 18 years). It was performed using the orthopanthomographic radiographs analysis of those patients. Each radiograph was covered by tracing paper, and the contoures of the following anatomic details were drawn: a) the crown and root contours of third molars, upper and lower central incisors, distal molars in occlusion, anterior edge of ramus mandible, b) lines: 1. the occlusal plane, 2. the line of retromolar space, 3. the mesiodistal crown width of third molar, 4. the axial shaft of the third molar and the distal angle between occlusal plane and the axial shaft of the third molar. The values were measured with an orthodontic caliper: the diameter of retromolar space, diameter of mesiodistal width, the value of distal angle between occlusal plane and axial shaft of molar.
A favourable angulation of the lower third molar (more than 60 degrees) was found in, boys (left 27.90%, right 32.55%), girls (left 39.34%, right 37.77%). A favourable relationship between the diameters of mesiodistal width of the third molar and retromolar space was found in, boys, (left 13.59%, right 16.27%), girls, (left 8.19%, right 14.75%). A favourable relationship between the diameters of mesiodistal width of the third molar and the retromolar space and the angulation was found in boys, (left 9.30%, right 11.62%), girls, (left 6.56%, right 9.83%).
There was not any statistically significant difference found between the relation of the retromolar value, third molar mesiodistal diameter, or of the third molar angulation to the left and the right side nor of their mutual relations in comparing boys and girls. A favourable prognosis was found in 9.33% of the patients.
Cilj je ovog rada ispitati odnos procjene stila rukovođenja, organizacijske pravednosti i identifikacije s organizacijom. Posebno se u navedenom odnosu provjerava medijacijska uloga organizacijske ...pravednosti. Strukturalno modeliranje korišteno je u svrhu analize podataka prikupljenih na većem prigodnom uzorku zaposlenika organizacija različitih djelatnosti. Rezultati potvrđuju medijacijski efekt organizacijske pravednosti: aktivni stilovi rukovođenja (i transakcijsko i transformacijsko) pozitivno doprinose doživljaju organizacijske pravednosti, što za posljedicu ima jače izraženu
identifikaciju s organizacijom. Pritom transformacijski stil rukovođenja ima pozitivne, direktne i indirektne efekte na organizacijsku identifikaciju, dok transakcijski stil samo indirektno, putem percepcije organizacijske pravednosti, pozitivno doprinosi identifikaciji zaposlenika s organizacijom. Aktivni stilovi rukovođenja i percepcija
organizacijske pravednosti ukupno objašnjavaju približno četvrtinu varijance identifikacije s organizacijom. Raspravlja se o značenju rezultata za upravljanje ljudskim resursima, odnosno o važnosti aktivne uloge rukovoditelja u procesima i sustavima namijenjenima zadržavanju i motiviranju zaposlenika u organizaciji.
Modern industrial systems now, more than ever, require secure and efficient ways of communication. The trend of making connected, smart architectures is beginning to show in various fields of the ...industry such as manufacturing and logistics. The number of IoT (Internet of Things) devices used in such systems is naturally increasing and industry leaders want to define business processes which are reliable, reproducible, and can be effortlessly monitored. With the rise in number of connected industrial systems, the number of used IoT devices also grows and with that some challenges arise. Cybersecurity in these types of systems is crucial for their wide adoption. Without safety in communication and threat detection and prevention techniques, it can be very difficult to use smart, connected systems in the industry setting. In this paper we describe two real-world examples of such systems while focusing on our architectural choices and lessons learned. We demonstrate our vision for implementing a connected industrial system with secure data flow and threat detection and mitigation strategies on real-world data and IoT devices. While our system is not an off-the-shelf product, our architecture design and results show advantages of using technologies such as Deep Learning for threat detection and Blockchain enhanced communication in industrial IoT systems and how these technologies can be implemented. We demonstrate empirical results of various components of our system and also the performance of our system as-a-whole.
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