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39: 279-295. Lanza F., Aspinall R., Swabb E., Davis R., Rack M., Rubin A. (1988): Doubleblind, placebo-controlled endoscopic comparison of the mucosal protective effects of misoprostol versus cimetidine on tolmetin-induced mucosal injury to the stomach and duodenum. Gastroenterology 95: 289-294. McCullagh P. (1977): A logistic model for paired comparisons with ordered categorical data. Biometrika 64: 449-453. Stuart A. (1955): A test for homogeneity of the marginal distributions in a two-way classification. Biometrika 42: 412-416. Sugano K., Kinoshita Y., Miwa H

References Bakinowska E., Kala R. (2007): An application of logistic models for comparison of varieties of seed pea with respect to lodging. Biometrical Letters 44 (2): 143-154. Bakinowska E., Pilarczyk W., Osiecka A., Wiatr K. (2012): Analysis of downy mildew infection of field pea varieties using the logistic model. Journal of Plant Protection Research 52 (2): 240-246. Bakinowska E. ,Pilarczyk W., Zawieja B. (2016): Analysis of downy mildew data on field pea an empirical comparison of two logistic models. Acta Agriculturae Scandinavica Section B - Soil and

References 1. Dukoski I., 2001 ‒ Maintenance of the motor vehicles - Logistics, Technical Faculty of Bitola, Bitola, Republic of Macedonia. 2. Dukoski I., 2005 ‒ Logistic systems, written lectures of post graduate scientific studies, Technical Faculty of Bitola, Republic of Macedonia. 3. Dukoski I. and Talevski N., 2011 ‒ Management with the communal waste in the Municipality of Bitola, Code of Technical Faculty, University St. Kliment Ohridski, Bitola, Republic of Macedonia. 4. Talevski N., 2010 ‒ Sustainable logistic model of system for collection of the

a Tool for Determination of the Probability of Default for Enterprises , Scientific Bulletin - Economic Sciences, 16, issue 2, p. 41-47. Wang, H., Li, J., Chen, Q-Y., Ni, D., (2011), Logistic modeling of the equilibrium speeddensity relationship , Transportation Research Part A: Policy and Practice, 45, issue 6, p. 554-566

Abstract

There has been observed widespread destruction of natural ecosystems around the world due to population growth, land use change and clear cutting which have affected soil properties. Different management strategies have been so far implemented to reduce this crisis in various regions of the world, such as e.g. short-term and long-term conservation management in the Zagros region. However, any management approach should be evaluated with appropriate measures to determine how managed areas respond. The main objective of the present study was to evaluate the potential of earthworms as an indicator for different forest management strategies and human disturbances in Zagros oak (Quercus persica Jaub. and Spach) forest. The sites selected included undisturbed one as the control (Un), the sites under five-year conservation management (FCM) and twenty-year conservation management (TCM) as well as the disturbed site (D). The results of principal component analysis (PCA) showed that different regions separated into the components: PC1 and PC2. Un and TCM sites gathered together and represented higher values of the factors such as pH, Kavailable, OC, clay content, Pavailable, CEC, overstory tree canopy, Ntot, biomass and abundance of earthworms. The positive direction of the first axis reflected a gradient of EC, BD and Ptot. According to the logistic model, NH4-N and EC played the most important role in earthworm presence and absence in Zagros forest ecosystem. Earthworm abundance and biomass could be a good indicator to evaluate different forest management strategies in the study area.

Abstract

Road traffic safety among socioeconomic issues has become the major concern across the globe due to rise in road crashes attributed largely to human factor. This study tends to address attitudinal behavior of road users towards road ethics in Ilorin metropolis-Nigeria; covering both driver and motorcyclists and perception of motorists on road traffic enforcement agent. Questionnaire was employed as survey tools. Ordered logistic model were used to analyse the data on attitude of motorists and road traffic laws enforcement agents. About 87% of the 440 administered questionnaire were returned valid. A 3-model analysis was carried out and the findings showed that the attitude of the motorists, road traffic law enforcement agents and demographical index (gender, age and education) correlated with, and influence compliance with road traffic laws.

References Bakinowska E., Kala R. (2007): An application of logistic models for comparison of varieties of seed pea with respect to lodging. Biometrical Letters 44(2): 143-154. Bakinowska E., Pilarczyk W., Osiecka A., Wiatr K. (2012): Analysis of downy mildew infection of field pea varieties using the logistic model. Journal of Plant Protection Research 52(2): 264-270. Burgos N.R., Tranel P.J., Streibig J.C., Davis V.M., Shaner D., Norsworthy J.K., Ritz C. (2013): Review: confirmation of resistance to herbicides and evaluation of resistance levels. Weed Science

Abstract

Three of the most frequently used sigmoidal growth curves from the Richards family are the logistic model, Gompertz model and Richards model. They are used in the analysis of organismal growth over time in many disciplines/studies and were proposed in many parameterisations. Choosing the right parameterisation is not easy. The correct parameterisation of the model should take into account such parameters that are useful to describe the analysed growth phenomenon and are biologically relevant without additional calculations. In addition, each parameter of the model only affects one shape characteristic of each growth curve, which makes it possible to determine standard errors and confidence intervals using statistical software.

Growth curves in germination dynamics studies should provide information on topics such as the length of the lag in onset of germination, the maximum germination rate and, when it occurs, the time at which 50% of seeds will germinate and the final germination proportion. In this article, we present three parameterisations of the logistic, Gompertz and Richards models and indicate two parameterisations for each model, corresponding to the above-mentioned issues. Our proposition is parameterisation by taking into account the maximum absolute growth rate. Parameterisations indicated as useful for germination dynamics are characterised by the fact that each parameter has the same meaning in every model, so its estimates can be compared directly amongst the models. We also discussed the goodness-of-fit measures for nonlinear models and in particular measures of nonlinear behaviour of a model’s individual parameters as well as overall measures of nonlinearity.

All described models were used to study the dynamics of the epicotyl emergence of pedunculate oak. After checking the close-to-linear behaviour of the studied model parameters and by taking into account the criteria of model selection (AICc of each growth curve and the residual variance [RV]), the best model describing the dynamics of epicotyl appearance of pedunculate oak was the Richards curve.

, Vol. 15 , 2015, pp. 269-292. URL: https://ispan.waw.pl/journals/index.php/cs-ec/article/download/cs.2015.019/1765 18. Landwehr, N., M. Hall, E. Frank. Logistic Model Trees. – Machine Learning, Vol. 59 , 2005, No 1, pp. 161-205. ISSN 1573-0565. 19. Marcińczuk, M. Automatic Construction of Complex Features in Conditional Random Fields for Named Entities Recognition. – In: RANLP, 2015. 20. Marcińczuk, M., J. Kocoń, M. Janicki. Liner2 – A Customizable Framework for Proper Names Recognition for Polish. – In: Intelligent Tools for Building a Scientific Information

Abstract

Purpose: To develop a multiple logistic regression model as normal tissue complication probability model by least absolute shrinkage and selection operator (LASSO) technique in breast cancer patients treated with three-dimensional conformal radiation therapy (3D-CRT), we focused on the changes of pulmonary function tests to achieve the optimal predictive parameters for the occurrence of symptomatic radiation pneumonitis (SRP).

Materials and methods: Dosimetric and spirometry data of 60 breast cancer patients were analyzed. Pulmonary function tests were done before RT, after completion of RT, 3, and 6 months after RT. Multiple logistic regression model was used to obtain the effective predictive parameters. Forward selection method was applied in NTCP model to determine the effective risk factors from obtained different parameters.

Results: Symptomatic radiation pneumonitis was observed in five patients. Significant changes in pulmonary parameters have been observed at six months after RT. The parameters of mean lung dose (MLD), bridge separation (BS), mean irradiated lung volume (ILVmean), and the percentage of the ipsilateral lung volume that received dose of 20 Gy (IV20) introduced as risk factors using the LASSO technique for SRP in a multiple normal tissue complication probability model in breast cancer patients treated with 3D-CRT. The BS, central lung distance (CLD) and ILV in tangential field have obtained as 23.5 (20.9-26.0) cm, 2.4 (1.5-3.3) cm, and 12.4 (10.6-14.3) % of lung volume in radiation field in patients without pulmonary complication, respectively.

Conclusion: The results showed that if BS, CLD, and ILV are more than 23 cm, 2 cm, and 12%, respectively, so incidence of SRP in the patients will be considerable. Our multiple NTCP LASSO model for breast cancer patients treated with 3D-CRT showed that in order to have minimum probability of SRP occurrence, parameters of BS, IV20, ILV and especially MLD would be kept in minimum levels. Considering dose-volume histogram, the mean lung dose factor is most important parameter which minimizing it in treatment planning, minimizes the probability of SRP and consequently improves the quality of life in breast cancer patients.