Inquiry (E-Journal - Faculty of Business and Administration, International University of Sarajevo)
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Virus Induced Gene Silencing of prolyl-4-hydroxylase Induce alteration in Plant Growth
Get PDFProlyl 4-hydroxylases (P4Hs) belong to the family of 2-oxoglutarate-dependent dioxygenases and catalyze the formation of 4-hydroxyproline, requiring 2-oxoglutarate and O2 as co-substrates and Fe2+ as a co-factor. Nine putative P4Hs have been identified up to now in the tomato genome. A reverse genetics approach, Virus-Induced Gene Silencing, was used to silence two P4Hs, P4H3 and P4H8. Transient silencing of P4H3 and P4H8 altered tomato plant growth. P4H3- and P4H8-VIGS plants had shorter stems, reduced fresh weight and smaller leaves. The effect of VIGS application in different plant organs such as root, shoot, and root fresh weight, shoot fresh weight, leaves area were analyzed. Linear correlation was measured by calculating the Pearson correlation coefficiency in order to see if there are correlations between these variables. These results indicate that P4H3 and P4H8 play a significant role in tomato plant growth and VIGS is a useful tool to study the function of tomato gene families such as P4Hs in growth and development, and elucidate, in the long run, the physiological significance of substrate-proteins such as hydroxyproline-rich glycoproteins
Distribution of Unemployment Spells and Survival Analysis: The Case of Bosnia and Herzegovina
No full textIt is not enough to study the labour market only by analysing the static variables like rates of employment and unemployment. For the decision making on the labour market it is essential to see the movement of people into and out of jobs, the extent to which they can or cannot quickly find alternative employment and to which extent different groups of the labour force are more affected than others. Using the frailty models, as a specific area in survival analysis, we show that the durations of unemployment are sensitive to the educational level and gender. First, females are experiencing significantly longer durations of finding job than man. Second, better-educated individuals appear to find job more quickly than the less-educated. Finally, there is evidence of duration dependence in unemployment in Bosnia and Herzegovina. The re-employment hazard exhibits positive duration dependence in the first 59 months, and then declines approximately 60 months
Authorship Attribution Using Principal Component Analysis and Nearest Neighbor Rule for Neural Networks
Get PDFFeature extraction is a common problem in statistical pattern recognition. It refers to a process whereby a data space is transformed into a feature space that, in theory, has exactly the same dimension as the original data space. However, the transformation is designed in such a way that the data set may be represented by a reduced number of "effective" features and yet retain most of the intrinsic information content of the data; in other words, the data set undergoes a dimensionality reduction. Principal component analysis is one of these processes. In this paper the data collected by counting selected syntactic characteristics in around a thousand paragraphs of each of the sample books underwent a principal component analysis. To make a comparison, the original data is also processed. Authors of texts identified with higher success by the competitive neural networks, which use principal components. The process repeated on another group of authors, and similar results are obtained
Cournot Model of Duopoly with Incomplete Information
Get PDFCournot (1838) anticipated Nash's definition of equilibrium by over a century, but only in the context of a particular model of duopoly. Not surprisingly, Cournot's work is one of the classics of game theory; it is also one of the cornerstones of the theory of industrial organization. We consider a modification of the Cournot's model with an uncertainty in the demand. We find the Bayesian Nash equilibrium of the game
Out-of-stock problem: possible classification schemes
Get PDFAn out-of-stock (OOS) event is referred as one of the biggest supply-chain management problem concerning retailers, distributors and consumers. We present available PCG data and discuss how to determine the importance of some features (fields), their interconnections and compare them with standard data fields used in other publicly accessible studies and recommendations from Efficient Consumer Response (ECR). We propose several models and algorithms to predict and solve Out of stock problem and at the end the computational results of these models are presented
Bifurcation Analysis for Metapopulation Models
Get PDFTwo models with four components of chain populations are considered. In the model, a prey population X is predated by individuals of a specialist predator population Y, and another prey population Z is predated by individuals of a generalist predator population U. This model is governed by a system of four nonlinear first order ordinary differential equations. To study the dynamics of the food chain model, the mentioned system of ordinary differential equations solved numerically. One of the biological parameters varied in a sufficiently large range and its effects on the dynamics of the system are observed. Along the axis of the predating rate of the specialist predator, around four points we meet chaos. At each time chaos precedes period doublings.
Leaf Area Assessment By Image Analysis
Get PDFA measurement of leaf area is apparently simple and fundamental. Various methods are available to measure leaf area. Available methods are time consuming, humdrum and laborious. Less expensive methods involving image processing based on video camera images and computer programs for analysis of these images have been alternative for all other techniques for leaf area assessment. In this paper we introduce a computer program that can calculate leaf area meter based on the pixel count in very short time and highly accurate by image processing. This program provides very fast, inexpensive and highly accurate measurement
A Fuzzy Model for A Multistage Supply Chain System Controlled By Kanban
Get PDFThis paper deals with a multi-machine supply chain system operating under just-in- time delivery policy with fuzzy demands. For this purpose, the system is modeled as a fuzzy linear programming problem. In JIT delivery policy, kanban has the role of a transporter. By the solution of the related fuzzy linear programming problem, the number of kanbans is determined optimally. Fuzzy demands method enables one to minimize inventory costs under uncertain demand fluctuations. Copyright © 2007 IFA
Detecting the Authors of Texts by Neural Network Committee Machines
Get PDFThis paper proposes a means of using a boosting by filtering algorithm in artificial neural networks to identify the author of a text. This approach involves filtering the training examples by different versions of a weak learning algorithm. It assures the availability of a large source of examples, with the examples being either discarded or kept during training. An advantage of this approach is that it allows for a small memory requirement. Once the network has been trained, its hidden layer activations are recorded as a representation of the selected lexical descriptors of an author. This stored information can then be used to identify the texts written by the same author. Texts studied are literary works of two Bosnian writers, Ivo Andrić (1892-1975) and M. Meša Selimović (1910-1982). The data collected by counting syntactic characteristics in 1466 paragraphs of "na drini ćupria" by Ivo Andrić, and "derviš i smirt" by M. Meša Selimović each
Inventory Control Using Fuzzy Dynamic Programming
Get PDFThere are a variety of efficient approaches to solve crisp inventory models in operations research. In this article a model that uses Bellman and Zadeh’s approach to fuzzy dynamic programming is used. The problem considered is the following: the management of a company wants to close down a certain plant within a definite time interval. Therefore production levels should decrease to zero as smoothly as possible and the stock level at the end of the planning period should be as low as possible. The demand is assumed to be deterministic