Risk management in information system projects

Ovaj članak predstavlja studiozan pregled ključnih čimbenika uspjeha projekta u provedbi informacijskog sustava u poslovnim sustavima. Članak prikazuje rezultate teorijskih i praktičnih istraživanja, koja pokazuju da proces upravljanja razvojnim projektima informacijskih sustava ima mnogo problema i neizvjesnosti u praksi, koji se unatoč brojnim poboljšanjima u području razvoja metoda, tehnika i alata još uvijek suočavaju s nekim problemima i teškoćama u procesu implementacije integriranih informacijskih sustava. Upravljanje projektima implementacije ERP (planiranja resursa poduzeća) je povezano s različitim specifičnim problemima, koji su bitno različiti od onih tradicionalnih informacijskog sustava razvoja, jer sadrže strateške, taktičke, organizacijske čimbenike te čimbenike poslovnog okruženja.This paper presents a studious overview of key project success factors in the implementation of information system to business systems. The paper presents the results of theoretical and practical studies, which have shown that the process of managing development of information system projects holds many problems and uncertainties in practice, which despite many improvements in the area of development methods, techniques and tools are still facing some problems and difficulties in the process of implementation of integrated information systems. Managing ERP implementation projects is associated with different specific problems, which are essentially different from the traditional information system developments, because they contain the strategic, tactical, organizational and business environment factors

Monitoring Air Pollution Using GIS: Case Study for the City of Belgrade

The methodology for modeling the distribution of certain air pollutant for the city of Belgrade in winter 2015 is presented in the paper. Land Use Regression (LUR) was used for modeling and visualization of spatial distribution of air pollution concentration in the city. NO2 concentrations were sampled at 46 locations, and predictive variables were calculated based on the road category, traffic intensity, demographic data, altitude, household furnaces and land use. These variables were calculated using buffers of different sizes. Linear regressions between NO2 and predictive spatial variables were calculated. Afterwards, the most significant predictors were used for multivariate regression model. Quality of the final model was checked using measurement available at certain locations. The RMSE of 9.8 μg/m³ and the coefficient of determination (R2) of 0.6 were obtained. These results indicate that traffic has the largest impact on air pollution concentration especially near the major roads. Prediction should help in deciding which air protection measures are to be taken in order to preserve and improve the city environment. The lack of data that are collected by using quite a few sensor stations is still rather limiting for the successful monitoring of air pollution in the city of Belgrade

Monitoring Air Pollution Using GIS: Case Study for the City of Belgrade

The methodology for modeling the distribution of certain air pollutant for the city of Belgrade in winter 2015 is presented in the paper. Land Use Regression (LUR) was used for modeling and visualization of spatial distribution of air pollution concentration in the city. NO2 concentrations were sampled at 46 locations, and predictive variables were calculated based on the road category, traffic intensity, demographic data, altitude, household furnaces and land use. These variables were calculated using buffers of different sizes. Linear regressions between NO2 and predictive spatial variables were calculated. Afterwards, the most significant predictors were used for multivariate regression model. Quality of the final model was checked using measurement available at certain locations. The RMSE of 9.8 μg/m³ and the coefficient of determination (R2) of 0.6 were obtained. These results indicate that traffic has the largest impact on air pollution concentration especially near the major roads. Prediction should help in deciding which air protection measures are to be taken in order to preserve and improve the city environment. The lack of data that are collected by using quite a few sensor stations is still rather limiting for the successful monitoring of air pollution in the city of Belgrade

Quality of life in patients with non-small cell lung cancer

Background/Aim. As lung cancer is considered the greatest contributor to death among all cancer types any help might be valuable in the assessment of treatment effects. The aim of this study was for assess the quality of life (QoL) in patients with non-small cell lung cancer (NSCLC) treated with gemcitabine- cisplatin regimen as the first line of chemotherapy. Methods. The QoL was assessed using certified Serbian translations of the European Organization for Research and Treatment of Cancer Quality Life Questionnaire Core 30 (EORTC QLQ-C30) and Lung Cancer Module (QLQ-LC13) - version 3. The questionnaire was used before starting treatment and after the completion of the 2nd and the 4th cycle of chemotherapy. The questionnaire scales and single items were compared in order to assess the impact of treatment on the QoL. Results. A total of 60 patients started and 51 completed all questionnaires. There were no changes in the global health status score between the baseline, the 2nd and the 4th cycle of chemotherapy (42.78 ± 15.76, 45.56 ± 17.59, 48.20 ± 19.24, respectively; p = 0.1). Social function score, symptom scores: nausea and vomiting, pain, appetite loss, constipation, diarrhea and financial difficulties score differed significantly among chemotherapy cycles, indicating improved or worsened the QoL. In the lung cancer symptom score a significant difference between measurements was observed in cough, alopecia, chest pain and in using analgesics. Conclusion. Monitoring of changes in the QoL among patients with locally advanced and metastatic NSCLC showed that chemotherapy did not decrease the global health status but led to significant changes in the social and financial functioning of patients. Some symptoms associated with the disease reduced in the intensity but some new occurred as a result of chemotherapy. Using questionnaires to assess the QoL helped in easier identification of adverse effects and specific problems for adequate treatment

Estimation of optimal fertilizers for optimal crop yield by adaptive neuro fuzzy logic

To analyze the crop yield there is need to estimate the crop production. However, it is challenging task to control the crop production response because of different inputs. Fertilizer has a notable impact on crop yield. In order to analyze the fertilizers, it is suitable to establish a predictive approach to obtain optimal parameter for the best fertilizers. The main goal of the study was to establish a predictive approach by adaptive neuro fuzzy inference system (ANFIS) to determine the impact of temperature, humidity, moisture, soil type, crop type, nitrogen, potassium and phosphorous on the fertilizers prediction. There are five fertilizers which should be predicted by the ANFIS. The used fertilizers are: urea, DAP, 14-35-14, 28-28, 17-17-17, 20-20, 10-26-26. It was found that the “phosphorous” and “nitrogen” is the optimal combination of two parameters for the fertilizer prediction. The results could be useful for optimization of the crop yield response in order to reduce the cost of the process

Influence of open surgical and endovascular abdominal aortic aneurysm repair on clot quality assessed by ROTEM® test

Introduction/Aim. The disturbances in hemostasis are often in open surgical repair (OR) and endovascular repair (EVAR) of an abdominal aortic aneurysm (AAA). These changes may influence the perioperative and early postoperative period inducing serious complications. The aim of this study was to compare the impact of OR and EVAR of AAA on clot quality assessed by rotational thromboelastometry (ROTEM®) tests. Methods. The study included 40 patients who underwent elective AAA surgery and were devided into two groups (the OR and the EVAR group - 20 patients in each group). The ROTEM ® test was performed in 4 points: point 1 - 10 min before starting anesthesia in both groups; point 2 - 10 min after aortic clapming in the OR group and 10 min after the stent-graft trunk release in the EVAR group; point 3 - 10 min after the releasing of aortic clamp in the OR group and 10 min after stentgraft placement and releasing the femoral clamp in the EVAR group; point 4 - one hour after the procedure in both groups. Three ROTEM® tests were performed as: extrinsically activated assay with tissue factor (EXTEM), intrinsically activated test using kaolin (INTEM), and extrinsically activated test with tissue factor and the platelet inhibitor cytochalasin D (FIBTEM). All tests included the assessment of the maximum clot firmness (MCF) and the platelet component of clot strength was presented as maximal clot elasticity (MCE). Results. No significant difference in age, gender and diameter of AAA between groups was found. The time required for the procedure was significantly longer and loss of blood was greater in the OR group than in the EVAR group (p < 0.001). The significant deviation of MCF values in EXTEM test was found mainly in the point 3 (p ≤ 0.004) with significant difference between groups (p < 0.001). A significant difference of MCF values in INTEM test between groups was found in the points 3 and 4 (p < 0.001), which were dose-dependent by heparin sulfate. The MCF values in FIBTEM test were more prominent in the OR group than in the EVAR group without significant difference. The significant changes of MCF values in the FIBTEM test were found during time in both groups (p < 0.001). The values of MCE were lower in both groups, but without significant changes and difference between groups (p = 0.105). Conclusion. The disorders of hemostatic parameters assessed by ROTEM® tests are present in both the OR and the EVAR groups being more prominent in OR of AAA. Vigilant monitoring of hemostatic parameters evaluated by ROTEM® tests could help in administration of the adequate and target therapy in patients who underwent EVAR or OR of AAA