Background The production of milk and dairy products and their placement on the market represent a constant profit for the farmers/producers in Bosnia and Herzegovina (BH). The profitable operation of the dairy farms is influenced by the reproductive performance of the lactating animals. This study assessed individual animal reproductive characteristics in selected dairy farms and described their reproductive performance indicators. Results The median age at first insemination was 493 days (5th–95th percentile range 429–840), while the age at first calving was 802 days (5th–95th percentile range 708–1168). The median pregnancy proportion at first insemination was 40% (5th–95th percentile range 17–62), while the cumulative pregnancy rate calculated at day-60, day-80, day-100, and day-120 showed that approximately 64% of all pregnancies happened before day-120. The calculated interservice intervals showed that approximately 69% of the repeat breeding animals came back to the oestrus in the period of 18 to 24 days. This is an indication of very good oestrus detection in selected dairy farms. The mean number of services per pregnancy was 2.61 (range 1–12). The median calving-to-first-insemination interval was 62.5 days (5th–95th percentile range 16–408). The calving-to-conception interval was 101 day (5th–95th percentile range 36–506). Finally, the calving interval was 385 days (5th–95th percentile range 329–773). Conclusions There is a need for an organised, regular, and more comprehensive recording system for the reproduction of dairy cattle among dairy farms in Una-Sana Canton. The calculated reproductive measures indicated an undulant trend in reproductive performance among selected dairy farms in Una-Sana Canton. Knowing the apparent reproductive indicators described in this study, the farmers and veterinary authorities may identify and correct areas in their management that contribute to the reproductive underperformance.

Third-party logistics (3PL) has involved a significant response among researchers and practitioners in the recent decade. In the global competitive scenario, multinational companies (MNCs) not only improve the quality of the service and increase efficiency, but they also decrease costs by means of 3PL. However, the assessment and selection of 3PL is a very critical decision to make, comprising intricacy due to the existence of various imprecisely based criteria. Also, uncertainty is an unavoidable part of information in the decision-making process and its importance in the selection process is relatively high and needs to be carefully considered. Consequently, incomplete and inadequate data or information may occur among other various selection criteria, which can be termed as a multi-criteria decision-making (MCDM) problem. Rough numbers are very flexible to model this type of uncertainty occurring in MCDM problems. In this paper, the Hamy Mean (HM) operator and Dombi operations are expanded by rough numbers (RNs) so as to propose the Rough Number Dombi-Hamy Mean (RNDHM) operator. Then, the Multi-Attribute Decision-Making (MADM) model is designed with the RNDHM operator. Finally, the RNDHM is employed to achieve the final ranking of the 3PL providers.

In this paper is presented a novel integrated fuzzy – rough Multi-Criteria Decision-Making (MCDM) model based on integration fuzzy and interval rough set theory. Model integrates Fuzzy PIvot Pairwise RElative Criteria Importance Assessment - fuzzy PIPRECIA and Interval rough Simple Additive Weighting (SAW) methods. An illustrative example for demonstration of the model is proposed that represents evaluation and supplier selection based on nine environmental criteria. Fuzzy PIPRECIA method is used for determining the significance of the following seven criteria: C1 - environmental image, C2 - recycling, C3 - pollution control, C4 - environmental management system, C5 – environmentally friendly products, C6 - resource consumption and C7 - green competencies. Iterval rough SAW method is applied for evaluation four alternatives. Results show that third criterion is most important while fourth alternative represents the best solution.

ABSTRACT Multirotor Aerial Vehicles may be fault-tolerant by design when rotor-failure is possible to measure or identify, especially when a large number of rotors are used. For instance, an octocopter can be capable to complete some missions even when a double-rotor fault occurs during the execution. In this paper, we study how a rotor-failure reduces the vehicle control admissible set and its importance with respect to the selected mission, i.e. we perform mission-related fault-tolerant analysis. Furthermore, we propose a risk-sensitive motion-planning algorithm capable to take into account the risks during the planning stage by means of mission-related fault-tolerant analysis. We show that the proposed approach is much less conservative in terms of selected performance measures than a conservative risk planner that assumes that the considered fault will certainly occur during the mission execution. As expected, the proposed risk-sensitive motion planner is also readier for accepting failures during the mission execution than the risk-insensitive approach that assumes no failure will occur.

Bankruptcy prediction has been in the focus of research for many years. The benefits of bankruptcy predictive ability are several and possibly beneficial for all business entity stakeholders. This paper has an ultimate goal of revealing most significant financial traits of bankrupt companies as opposed to non-bankrupt companies. The research includes 50 bankrupt companies based in Federation of Bosnia and Herzegovina. They were matched with a random sample of 100 non-bankrupt company-years. Financial ratios of companies used in the sample were derived from their financial statements. Using logistic regression analysis and ANOVA, we were able to construct a several bankruptcy prediction models. The comprehensive model exhibited predictive ability of more than 95%, with high predictive ability of both bankrupt and non-bankrupt companies. The research has shown that bankrupt companies do leave significant financial traits that can be detected prior to official bankruptcy proceeding filing, which can be beneficial for all stakeholders.

Schiff bases are organic compounds formed by the reaction of the primary amine with carbonyl compounds (aldehydes or ketones). These are mainly bi- or tridentate ligands capable of forming very stable complexes with transitional metals. They are used as catalysts in oxygenation, hydrolysis, electro-reduction and decomposition reactions. Many Shiff bases show significant anti-tumor and antimicrobial activity, which is why they are the subject of research by many scientists in the world. In this paper Schiff's base from benzidine and 1,3-diphenyl-1,3-propanedione was synthesized. To characterize the product, FTIR spectroscopy and stereo-microscopy were used. In order to determine biological activity, antibacterial, antifungal and antioxidant activity of the product was tested. The results showed that the interaction of benzidine and 1,3-diphenylpropandione results in a Schiff base showing antibacterial, antifungal and antioxidant activity. Keywords: Schiff base, benzidine, FTIR, UV/Vis, antimicrobial activity.

Ob vernetzte Fabriken, intelligente Social Bots oder autonomes Fahren – smarte Produkte sind in aller Munde. Das vorliegende Buch erweitert in der 2. Auflage das Spektrum der Themen, die in Zukunft die rechtliche Diskussion beherrschen werden, bis hin zum Weltraumrecht. Es erörtert Fragen künstlicher Intelligenz und autonomer Systeme, insbesondere unter haftungs- und produktsicherheitsrechtlichen Aspekten; ein praktischer Teil stellt ausgewählte Anwendungen des Internets der Dinge vor.

Small and medium enterprises (SMEs) are seen as one of the main drivers of economic growth in the modern economy that is characterised with free markets, private ownership, entrepreneurship, and a major change in the basic approach to business and management. As a result, human capital is regarded as the most important asset, and therefore, in order to grow and prosper, SMEs need to embrace the strategic approach to the human resource management (HRM) which should, in return, increase their competitiveness and responsiveness to the market changes. The aim of this study was to analyse the influence of strategic human resource (HR) practices on organisational performance. The results of hierarchical regression used to test the hypothesis supported the relationship between strategic HR practices and business performance. The findings presented in this study were used for making recommendations to the SMEs' managers in the Federation of Bosnia and Herzegovina.

Glycogen-rich clear cell carcinoma (GRCC) is a very rare form of primary breast cancer (<0.1% of all breast cancers). It is characterized by the presence of neoplastic cells with a glycogen-abundant clear cytoplasm (the Periodic Acid Schiff–positive, diastase-sensitive). The expression of steroid receptors (estrogen and progesterone receptors) has been variably reported (35% to 100% of the cases), whereas most studies reported low human epidermal growth factor receptor 2 positivity in GRCC. High androgen receptor positivity without androgen receptor splice variant-7 was reported in one recent study. Although sparse, the preliminary theranostic data on GRCC indicate the potential of targeted treatments in selected cases (antiandrogen, PIK3CA, and immune checkpoint inhibitors). Because of its rarity, the prognosis for GRCC patients remains controversial. Herein, we comprehensively appraise the epidemiological, morphologic, molecular, and clinical characteristics of this rare mammary malignancy.