19 research outputs found

    Plants as Bio-Insecticides in the Service of the Suppression of Potato Tuber Moth in Storage

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    Phthorimaea operculella Zeller (Lepidoptera: Gelechiidae), is economically very important pest of potato and other solanaceous plants in the field and warehouse. Frequent and excessive use of insecticides leads to development of insects resistance, environmental pollution, and lives residues in food. All this implicated as a obligatory applications of botanical insecticides. Research in this area is increasingly attracting attention as the kingdom of plants is an inexhaustible source of active ingredients with insecticidal properties. This is the only way in the registration and appropriate use of eco-friendly active ingredients as pesticides

    The efficiency analysis in small wineries in the Republic of Serbia

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    This paper contains the attempt to evaluate the activity development efficiency of small wineries in the Republic of Serbia as insufficiently used development potential of one industry branch. Small wineries represent an activity which is currently being developed and it is expected that it will, as it is the case in developed countries, contribute to the total economic development and employment, development of brand as recognizable brand of wine from this region and start further recognizable development of this branch as family business in the country and abroad. The analysis was performed using the non-parametric linear programming model DEA (Data Envelopment Analysis). The aim of this paper is that, using the analysis of financial statements and the effectiveness of representative wineries belonging to the category of small enterprises, a rational strategic decision-making is provided.Publishe

    Cross cultural adaptation and psychometric validation of the Serbian version of the Central Sensitization Inventory (CSI)

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    Background The current study performed a cross-cultural adaptation to Spanish and examined the internal and external validation of the AAOS-FAM questionnaire. Methods A direct translation (English to Spanish) and a reverse translation (Spanish to English) were performed by two independent professional native translators. Cronbach’s α coefficients were calculated to analyse the internal consistency of the measure. The factor structure and construct validity were analysed after extraction by maximum likelihood (EML); extraction was necessary if the following three requirements were met: accounting for ≥10 % of variance, Eigenvalue >1.0 and a scree plot inflexion point. The standard error of measurement and minimal detectable change 90 (MDC90) were calculated. Criterion validity was calculated by analysing the correlation between the American Academy of Orthopaedic Surgeons-Foot and Ankle Module (Spanish version) (AAOS-FAMsp) and Spanish versions of the questionnaires FFI and FHSQ. Results Regarding internal consistency, Cronbach’s α was 0.877, and in the test-retest analysis, the ICC ranged between 0.899 and 0.942. Error measures were calculated by MDC90 and SEM, which showed values of 3.444 and 1.476 %, respectively. The analysis demonstrated a goodness of fit chi-squared value of 803.166 (p Conclusions The results indicate that AAOS-FAMsp has satisfactory psychometric properties, facilitating the inclusion of Spanish-speaking individuals into both research and clinical practice

    An FAHP-TOPSIS framework for analysis of the employee productivity in the Serbian electrical power companies

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    The aim of this paper is to apply an integrated model, which combines methods of classical and fuzzy Multi-criteria decision making (MCDM) in selected six large equity companies from the Serbian energy sector. The data considered are retrieved from the official financial statements. Four main criteria were analyzed, identified by the previous researchers and pointing to the employees productivity: Operating income/Number of employees, Equity/Number of employees, Net income/Number of employees and Total assets/Number of employees. The contribution of this paper lies in the application of a hybrid model that integrates two MCDM methods: Fuzzy Analytic Hierarchy Process (FAHP) and Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) to analyse the employee productivity in selected D-Electrical power supply companies operating in Serbia. The FAHP is an effective method for mathematical representation of uncertain and imprecise evaluations made by humans, while the TOPSIS method is an efficient way to rank the alternatives. Results show that operating income is of highest importance for estimating employee productivity and decision making, while equity is of the weakest. Furthermore, the most productive operations in large enterprises from selected companies of the sector D-Electrical power supply are found in the company PC EPS Beograd, and the lowest are in the ED Center llc Kragujevac
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