bluuebunny/crossref_metadata_2025_split huggingface dataset:
On a new approach to the analysis of variance for experiments with orthogonal block structure.
Authors: Caliński Tadeusz , Siatkowski Idzi 
Published: December 2018

Summary
The main estimation and hypothesis testing procedures are presented for experiments conducted in nested block designs of a certain type. It is shown that, under appropriate randomization, these experiments have the convenient orthogonal block structure. Due to this property, the analysis of experimental data can be performed in a comparatively simple way. Certain simplifying procedures are indicated. The main advantage of the presented methodology concerns the analysis of variance and related hypothesis testing procedures. Under the adopted approach one can perform these analytical methods directly, not by combining the results from analyses based on stratum submodels. The application of the presented theory is illustrated by three examples of real experiments in relevant nested block designs. The present paper is the second in the planned series concerning the analysis of experiments with orthogonal block structure.
Linear Markovian models for lag exposure assessment
Authors: Magrini Alessandro 
Published: December 2018

Summary
Linear regression with temporally delayed covariates (distributed-lag linear regression) is a standard approach to lag exposure assessment, but it is limited to a single biomarker of interest and cannot provide insights on the relationships holding among the pathogen exposures, thus precluding the assessment of causal effects in a general context. In this paper, to overcome these limitations, distributed-lag linear regression is applied to Markovian structural causal models. Dynamic causal effects are defined as a function of regression coefficients at different time lags. The proposed methodology is illustrated using a simple lag exposure assessment problem.
A New Horizo-Vertical Distributed Feature Selection Approach
Authors: Zerhari B. , Lehcen A. Ait , Mouline S. 
Published: December 2018

Abstract
Feature selection technique has been a very active research topic that addresses the problem of reducing the dimensionality. Whereas, datasets are continuously growing over time both in samples and features number. As a result, handling both irrelevant and redundant features has become a real challenge. In this paper we propose a new straightforward framework which combines the horizontal and vertical distributed feature selection technique, called Horizo-Vertical Distributed Feature Selection approach (HVDFS), aimed at achieving good performances as well as reducing the number of features. The effectiveness of our approach is demonstrated on three well-known datasets compared to the centralized and the previous distributed approach, using four well-known classifiers.
TSCBA-A Mitigation System for ARP Cache Poisoning Attacks
Authors: Prabadevi B. , Jeyanthi N. 
Published: December 2018

Abstract
Address Resolution Protocol (ARP) cache poisoning results in numerous attacks. A novel mitigation system for ARP cache poisoning presented here avoids ARP cache poisoning attacks by introducing timestamps and counters in the ARP messages and ARP data tables. The system is evaluated based on criteria specified by the researchers and abnormal packets.
Macroeconomic effects of the budget deficit in the Republic of Macedonia
Authors: Noveski Martin 
Published: December 2018

Abstract
Although a decade has passed since the global financial and economic crisis of 2008, the expansionary fiscal policy in Macedonia can still be felt, primarily through an increased level of public expenditures aimed at stimulation of the economic growth. From 2008 onwards, the Republic of Macedonia has continuously recorded a negative budget balance, which affects the resources allocation and the overall economic situation. The question that arises is whether such interference by the Government in the functioning of the market economy is necessary, especially having in mind the EU regulation in this area. Using a multiple regression model for the period 1996-2015, this paper examines the impact of the budget deficit on Gross Domestic Product (GDP) per capita in Macedonia. Results show that the budget deficit is not a statistically significant determinant of GDP per capita, supporting thus the Ricardian equivalence theory. The analysis is conducted on the basis of statistical data from the World Bank’s database, as well as data from the National Bank of the Republic of Macedonia. Household final consumption expenditure, the unemployment rate and the official exchange rate of the Macedonian Denar against the U.S. Dollar are also taken into consideration as controlling variables. GDP per capita and household final consumption expenditures are in current prices, with natural logarithms applied, whereas the other variables are in nominal terms. The purpose of this paper is to provide an insight into the empirical relationship between the two main variables of interest and to initiate further discussion and analysis.
Probabilistic sampling strategy as a means of improving quality of price indices
Authors: Seljak Rudi , Bregar Lea , Colić Sanda , Dozet Maja 
Published: December 2018

Abstract
In spite of theoretical inferiority, a large majority of statistical institutes use non-probabilistic sampling techniques in price surveys. The main disadvantage of non-probabilistic sample design is that the risk of biased results is increased. Attempting to handle this risk in the domain of service producer price indices (SPPI) of professional services, the Croatian Bureau of Statistics (CBS) developed an innovative methodology and implemented it relying on the probability proportional to size (PPS) sample design. The purpose of the paper is to evaluate the impact of the probabilistic sampling strategy on the quality of price indices as shown in the case of SPPI for professional services at the CBS. The paper outlines respective methodological upgrading of SPPI compilation at the CBS, including also the method for variance estimation. The effect of the probabilistic sampling on SPPI is analysed by comparison with traditional purposive sampling surveys. The quality of SPPI based on the probabilistic sample approach is examined by coefficients of variation and confidence intervals.
A new link function for the prediction of binary variables
Authors: Gheno Gloria 
Published: December 2018

Abstract
If there are no heavy sanctions in place to prevent it, the problem of the cancellation of appointments can lead to huge economic losses and can have a significant impact on underutilized resources of healthcare facilities. A good model to predict the appointment cancellations could be an effective solution to this problem. Therefore, a new Bayesian method is proposed to estimate accurately the probability of the cancellation of visits to healthcare institutions based on specific factors such as age. This model uses the regression for binary variables, linking the explanatory variables to the probability of appearance at a previously made appointment with a new weighted function and estimating the parameters with the Bayesian method. The goodness of the new method is demonstrated by applying it to a real case and by comparing it to other methodologies. Therefore, the advantages of the proposed method are exposed and possible real-world applications are described.
Migrants inside and outside Africa. Motivations, Paths and Routes
Authors: Varani Nicoletta , Bernardini Enrico 
Published: December 2018

Abstract
The phenomenon of migration has always existed during the history of man since the beginning of time, just think of the history of the diaspora of the Jewish people until the great migrations of the nineteenth century which involved several European peoples, including Italians, Germans, Poles, and non-Europeans, such as the Japanese, heading to North or South America.
This article, using official sources provided by IOM, UNHCR and other accredited international statistical sources, aims to offer a critical reflection about the motivations, routes and paths of migrants outside and inside Africa, showing that only a small part of them reach Europe.
In fact, the first attractive centre for internal migration is Côte d’Ivoire, one of the countries, together with Nigeria, which is the driving force behind the sparsely populated economy of West Africa, rich in agricultural raw materials (starting with cocoa and coffee).
Finally, particular attention is given to the Italian case because is the geographical area most affected by the landings of migrants. In fact, hostility towards migrants in Italy at the end of last year was on the increase: one Italian in two said he considered immigrants a danger and was afraid of it.
Africa: Risk, Security and Mapping of Human Rights Violations
Authors: Varani Nicoletta , Bernardini Enrico 
Published: December 2018

Abstract
Planetary interdependence makes the task of states and international organizations to guarantee security inside and outside national borders ever more urgent. The tendency is to widen the space from national to international and to conceive of security as multidimensional for the satisfaction of human needs, assumed as priority needs with respect to those of the States. The old concept of national security must today confront the new concept of human security cultivated within the United Nations, which places the fundamental rights of the individual and of people at the centre of attention and lays the foundations for overcoming the traditional politics of power.
The concept of human security emphasises the security of the individual and his protection from political violence, war and arbitrariness. It takes account of the strong correlation between peace policy, human rights policy, migration policy and humanitarian policy.
The contribution provides, through a series of social indicators such as the Global Peace Index (GPI), Corruption Perceptions Index (CPI) and the World International Security and Policy Index (WISPI), a framework on risk, security, human rights violations in the African continent and examines some significant case studies related to sub-Saharan Africa.
Nonlinear PD plus sliding mode control with application to a parallel delta robot
Authors: Boudjedir Chems Eddine , Boukhetala Djamel , Bouri Mohamed 
Published: December 2018

Abstract
In this paper, a hybrid nonlinear proportional-derivative-sliding mode controller (NPD-SMC) is developed for the trajectory tracking of robot manipulators. The proposed controller combines the advantage of the easy implementation of NPD control and the robustness of SMC. The gains of PD control are tuned on-line in order to increase the convergence rate, whereas the SMC term is introduced to reject the external disturbances without requiring to know the system dynamics. The stability of the NPD-SMC is proved using Lyaponuv theorem, and it is demonstrated that the tracking error and the tracking error rate converge asymptotically to zero. Experiments are carried out on the parallel Delta robot to illustrate the effectiveness and robustness of the proposed approach. It is also shown the superiority of the NPD-SMC control over the NPD control and PD-SMC control.
Complex model description and main capacitor sizing for the cross-coupled charge pump synthesis process
Authors: Marek Jan , Hospodka Jiri , Subrt Ondrej 
Published: December 2018

Abstract
This paper presents a dynamic part of the pump stage model of the cross-coupled charge pump. The complex model has been used for both the estimation of the N-stage pump properties in a wide range of the input parameters and derivation of equations for synthesis process, as the main capacitor sizing, which is also mentioned in the article. Dynamic part of the model (pump stage capacitances) is determined from Ward’s capacitance piece-wise model through the BSIM MOSFET model equations. Main capacitor and load capacitor sizing are based on the time response characteristics fulfilling the system behavior in time. Guideline on the MOS transistor sizing as the nonlinear main pump capacitor and specification of the diode transistor for the design process are also clarified. The characteristics of the proposed circuit have been verified in the professional design environment Mentor graphics and analysis algorithm based on the state-space description of the inner complex model was programmed in Maple SW. The main benefit is to offer the alternative way of the charge pump synthesis by using the complex model and symbolic description of all formulae to find the required pump parameters without long-time simulation process.
Performance optimization methods for switched-capacitor biquadratic filters
Authors: Nahlik Jiri , Hospodka Jiri , Sovka Pavel , Mullane Brendan , Subrt Ondrej 
Published: December 2018

Abstract
A class of computer-aided optimization methods based on Differential Evolution (DE), Particle Swarm Optimization (PSO) and Nelder Mead algorithms applied to a switched-capacitor (SC) filter circuit design are investigated. Comparisons of these algorithms applied to a 4th order biquadratic two-channel filter bank CMOS design on 0.35 µm technology are made. The frequency responses of the biquadratic filters must match ideal responses in a finite number of iterations with a limited number of “particles”. The original and derived methods are evaluated on the base of their convergence progress and their reliability over different starting populations. An optimal design approach based on combining algorithms is derived as a more suitable and more reliable method for SC circuit optimization.
Computing multiplicative inverses in finite fields by long division
Authors: Grošek Otokar , Fabšič Tomáš 
Published: December 2018

Abstract
We study a method of computing multiplicative inverses in finite fields using long division. In the case of fields of a prime order p, we construct one fixed integer d(p) with the property that for any nonzero field element a, we can compute its inverse by dividing d(p) by a and by reducing the result modulo p. We show how to construct the smallest d(p) with this property. We demonstrate that a similar approach works in finite fields of a non-prime order, as well. However, we demonstrate that the studied method (in both cases) has worse asymptotic complexity than the extended Euclidean algorithm.
The contribution of remote sensing in hydraulics and hydrology, analysis and evaluation of digital terrain model for flood risk mapping
Authors: Bouzahar Faiza hassainia , Ouerdachi Lahbaci , Keblouti Mahdi , Seddiki Akram 
Published: December 2018

AbstractThe study of flood risk involves the knowledge of the spatial variability in the characteristics of the vegetation cover, terrain, climate and changes induced by the intervention of humans in watersheds. The increased needs of the actors in land management mean that static maps no longer meet the requirements of scientists and decision-makers. Access is needed to the data, methods and tools to produce complex maps in response to the different stages of risk evaluation and response. The availability of very high spatial resolution remote sensing data (VHSR) and digital terrain model (DTM) make it possible to detect objects close to human size and, therefore, is of interest for studying anthropogenic activities. The development of new methods and knowledge using detailed spatial data, coupled with the use of GIS, naturally becomes beneficial to the risks analysis. Indeed, the extraction of information from specific processes, such as vegetation indices, can be used as variables such as water heights, flow velocities, flow rates and submersion to predict the potential consequences of a flood. The functionalities of GIS for cartographic overlay and multi-criteria spatial analysis make it possible to identify the flood zones according to the level of risk from the flood, thus making it a useful decision-making tool.This study was carried out on the territory of watersheds in the Annaba region, East of Algeria. The choice was guided by the availability of data (satellites images, maps, hydrology, etc.) and hydrological specificities (proximity to an urban area). The adopted model is divided into two parts. The first part is to establish a methodology for the preservation of wetland biodiversity and the protection of urban areas against floods. Thanks to the multi-criteria spatial analysis and the functionalities of the GIS, we established a flood risk map for the watershed defined above. The result was satisfactory compared with the field reality. The second part of the model consisted of the integration of cadastral information with the flood risk map obtained in the first part of our research.The primary objective of this mapping is to contribute to the development of flood risk management plans (in the sense of risk reduction). The mapping stage also provides quantitative elements to more accurately assess the vulnerability of a territory.
Regional frequency analysis of extreme precipitation in northeastern Algeria
Authors: Dad Soufiane , Benabdesselam Tamara 
Published: December 2018

AbstractThe aim of the study is to improve the quality of estimating of the annual maximum daily precipitations of the northeastern area of Algeria. The regional frequency analysis based on L-moments was used. The investigated area is represented by 58 measuring stations. The main stages of the study were the definition of homogeneous regions and the identification of the regional distribution. It has been defined that the study region is homogeneous in terms of L-moments ratios despite the climatic differences within the region. Among the different tested distributions; the generalised extreme value (GEV) distribution has been identified as the most appropriate regional distribution for modelling precipitation in the region. The growth curve, derived from the regional distribution, was established. Therefore, to estimate the different return period’s precipitation quantiles in a given site of the region, the mean precipitation of the site has to be multiplied by the corresponding regional quantile (growth factor). Comparison of the quantiles estimated from the regional and at-site frequency analysis showed that in the majority of stations (82.8%) at-site model underestimates the quantiles having high return periods.
Technological model of water contact iron removal
Authors: Martynov Serhii , Fylypchuk Victor , Zoshchuk Vitalii , Kunytskyi Serhii , Safonyk Andrii , Pinchuk Oleg 
Published: December 2018

AbstractDifferent types of filters are used to remove iron from underground water, one of them is foam polystyrene. Depending on the chemical water composition, tasks for water supply and other working conditions of iron-removing filters, it is necessary to define an exact grain size, specific granulometric composition, the thickness of the layer and the adequate rate of filtration. This kind of problems is multifactorial and its solution is based on the mathematical modelling.As a rule, two parallel processes considered during iron removal of underground water in filters: efficiency of water treatment and growth of head losses. Therefore, the model of water iron removal based on two main blocks, clarifying block takes into account the material balance and kinetics of the process; hydrodynamic block describes the dynamics of head loss in the granular loading. The kinetics of the detention of iron compounds in granular loading consists of two mutually opposite processes. With an increase of the amount of adsorption-catalytic precipitate, the rate of sorption of iron compounds and oxidation of ferric iron increases and the efficiency of iron-removing increases. On the other hand, with decreasing porosity of loading the true velocity of the fluid increases, that reduces the intensity of adhesion of iron compounds.Developed mathematical model allows for determining optimal values of structural and technological parameters of iron-removing filters taking into consideration the specific filtering conditions.
Hydrochemical assessment and groundwater pollution parameters in arid zone: Case of the Turonian aquifer in Béchar region, southwestern Algeria
Authors: Mokeddem Ikram , Belhachemi Meriem , Merzougui Touhami , Nabbou Noria , Lachache Salih 
Published: December 2018

AbstractGroundwater samples from Turonian aquifer of Béchar region were evaluated as drinking and irrigation water sources. physicochemical parameters including pH, EC, TH, Na+, Ca2+, Mg2+, Cl−, SO42– and NO3− were determined for 16 water sampling points. These characterizations show that the groundwater is fresh to brackish, slightly alkaline and the major ions are Na+, Ca2+, Mg2+, Cl− and SO42–. According to WHO standards, 50% of the analysed water are suitable as a drinking source while the other samples are not in compliance with drinking water standards. This non-compliance is basically due to the high concentrations of Na+, Cl−, and SO42– requesting further treatment to reach the stringent standards. According to the results of nitrate concentrations, anthropogenic source seems to influence the groundwater quality. The present study shows that Béchar groundwater may represent an important drinking and irrigation water source. However, a specific management strategy should be adapted in order to avoid the contamination by anthropogenic sources.
Analysis of principal components used for modelling changes in glacitectonically disturbed areas
Authors: Mrówczyńska Maria 
Published: December 2018

AbstractDetermination of vertical displacements of engineering objects is closely related to geodesic monitoring. Its purpose is to record the dynamics of changes in the deformation phenomenon. Geodesic monitoring requires the use of appropriate measurement equipment and appropriate methods for processing observation results, which make it possible to determine the correlation between the causes and effects of deformations in engineering objects. Progress in information technology resulted in the appearance of new methods for processing and compressing experimental data which are resistant to noise or interference and enable reduction of the amount of information.The paper presents a method for statistical analysis of multidimensional data based on PCA (principal component analysis) transformation, implemented with the use of a neural network. PCA transformation, related to the Karhunen–Loeve transformation, is used for processing signals regarded as stochastic processes. This method makes enables reduction of the input data space on the basis of independent principal components with due attention to their significance. It also makes it possible to model changes occurring in both buildings and terrain in glacitectonically disturbed areas.
Identification of Restricting Criteria for Comprehensive Assessment of Logistics Chains in Intermodal Transport
Authors: Kudlac Stefan , Gasparik Jozef , Dedik Milan , Kurenkov Petr V. 
Published: December 2018

Abstract
An effective functioning of logistic chains through the use of intermodal transport inevitably necessitates elimination of potential constraints, which have a negative impact on the logistic chains implementation. The objective of the contribution is the analysis, definition as well as classification of constraints related to the logistic chains in the intermodal transport, which should enable to compare levels of constraints in different alternatives of the logistic chain implementation. Based on the comparison of the restriction levels, it is possible to select a more convenient way of the logistic chain implementation. The defined relevant constraints are assessed using scientific methods. These identified constraints have formed the basis for establishing a methodology, which enables to determine weights of constraints as well as to compare their levels on the basis of specific needs of entities.