Miracle-dz/UniFAR-FTUs huggingface dataset:
Fractalkine as a Severity Marker of Atopic Dermatitis in Infants and Toddlers

Introduction: Atopic dermatitis (AD) is a common chronic inflammatory skin disease. The aim of the study were the relationship determining between level of serum fractalkine and clinical signs of AD; and establishing correlation between the level of serum fractalkine and paraclinical signs of AD (total Ig E level, immunogram value). Material and methods: 60 children with clinical manifestations of AD in the exacerbation period of the disease (main group) and 16 healthy children without chronic diseases (control group) took part in the clinical study. Results: The study showed that the serum fractalkine level is elevated in all forms of AD severity: mild – 8.55 (6.11–10.79) ng/ml, moderate – 10.97 (5.61–14.01) ng/ml, severe – 12.53 (9.01–16.68) ng/ml. It was also established that serum fractalkine levels correlate with the overall assessment of the AD severity on the SCORAD scale, total intensity of all lesions, erythema, excoriations, itching and sleep disturbances (p < 0.05). Direct correlation of fractalkine level count with neutrophil count (27 [24–71] p < 0.05), and vice versa – with the number of lymphocytes (61.5 [26–70] p < 0.05) was uncovered when analyzing serum fractalkine levels and paraclinical criteria. The study found a connection between the serum fractalkine levels and immune indicators as well: inter alia the probable reduction of CD3, CD16, Ig G and the probable increase of CD4, CD22, CD25 and Ig E. Conclusion: Fractalkine can be used as an objective severity marker for acute phase of AD.
ON THE TAIL BEHAVIOR OF FUNCTIONS OF RANDOM VARIABLES

It is shown that the tail behavior of the function of nonnegative random variables can be characterized using deterministic functions satisfying certain properties. Also, the upper and lower bounds for the tail of product of random variables are given. Applications of these results are given to some of the well-known models in economics and risk theory. AMS Subject Classification: 60E05, 60E15, 62P20, 91B30, 91B40
NOVEL APPROACH FOR COST ESTIMATION OPTIMIZATION BASE FEATURE SELECTION AND CLASSIFICATION

- Software development effort estimation is the process of predicting the most realistic effort required to develop or maintain software. It is important to develop estimation models and appropriate techniques to avoid losses caused by poor estimation. IN text mining is use for understand user requirement, so understanding features optimize by ant colony optimization, it reduce the overlapping of features and then learn by generative classifier using Naïve Bayes.
Inter-laboratory comparability of measurements of trace-elements in marine organisms - results of intercalibration exercise on oyster homogenate

RÉSUMÉ R. Fukai, B. Oregioni, D. Vas International Laboratory of Marine Radioactivity, Iaea, Musée Océanographique, Principality of Monaco. Received 2/3/78, in revised form 23/3/78. accepted 3/4/78. An intercalibration exercise of trace element measurements was organized by using an oyster homogenate sample to examine the present state of the art of measurement performance with the aim of improving the comparability of results among participa ting laboratories. 87 laboratories, on a world-wide basis, participated in this operation. The results of the analyses, reported on 12 selected trace elements, Cr, Mn, Fe, Co, Cu, Zn, As, Se, Âg, Cd, Hg and Pb, were treated statistically to deduce the "consensus values" of these elements in the sample. The results of selected la bora tories were treated similarly to estimate "probable concentrations". These "probable concentrations" agree with the "consensus values" for most of the elements. On the basis of the "probable concentrations", ranges for acceptable values were estimated for each element. More than 80% of the results reported were acceptable for Mn and Cu by applying these ranges, more than 70% for Cr, Zn, Se, Cd and Hg, more than 60% for Fe, Co and Ag, white 59% were acceptable for Pb and only 43% for As. General observations made on the analytical methods used, the presentation of data, etc. are also given. Oceanol. Acta, 1978, 1, 3, 391-396. Comparabilité interlaboratoire de mesures d'éléments-traces dans les organismes marins : résultats de l'exercice d'intercomparaison sur l'huître Un exercice d'intercomparaison de mesures d'éléments-trace'> a été organisé en utilisant un échantillon d'huître; son but a été d'améliorer la comparabilité des résultats parmi les laboratoires y participant, tout en examinant les possibilités actuelles de mesures. 87 laboratoires du monde entier ont pris part à ce travail. Les résultats d'analyses, concernant les 12 éléments-traces sélectionnés, Cr, Mn, Fe, Co, Cu, Zn, As, Se, Ag, Cd, Hg et Pb, ont été traités statistiquement afin de déterminer les valeurs de« consensus» de ces éléments dans l'échantillon. Les résultats de laboratoires
Effects of radiation on unsteady MHD free convective flow past an oscillatingvertical porous plate embedded in a porous medium with oscillatory heat flux

The effects of radiation on unsteady MHD free convective flow of a viscous incompressible electrically conducting fluid past an oscillating vertical porous plate embedded in a porous medium with an oscillatory heat flux in the presence of a uniform transverse magnetic filed have been studied. The governing equations describing the flow are solved analytically. It is observed that the fluid velocity is effected by the magnetic parameter. An increase in radiation parameter leads to decrease the fluid velocity near the plate and to increase away from the plate. The fluid velocity increases near the plate and it decreases away from the plate with an increase in suction parameter. The solution exists for both suction and blowing at the plate. The fluid velocity increases near the plate and it decreases away from the plate with an increase in Darcy number. It is seen that the fluid temperature decreases near the plate and it increases away from the plate with an increase in either radiation parameter or Prandtl number or suction parameter or frequency parameter. Further, it is seen that the amplitude of the shear strass and the tangent of the phase angle at the plate decreases with an increase in either radiation parameter or Prandtl number or suction parameter.
Two-extremum electrostatic potential of metal-lattice plasma and the work function of an electron

Abstract Metal-lattice plasma is treated as a neutral two-component two-phase system of 2D surface and 3D bulk. Free electron density and bulk chemical potential are used as intensive parameters of the system with the phase boundary position determined in the crystalline lattice. A semiempirical expression for the electron screened electrostatic potential is constructed using the lattice-plasma polarization concept. It comprises an image term and three repulsion/attraction terms of second and fourth orders. The novel curve has two extremes and agrees with certain theoretical forms of potential. A practical formula for the electron work function of metals and a simplified schema of electronic structure at the metal/vacuum interface are proposed. This yields 10.44 eV for the Fermi energy of free electron gas; -5.817 eV for the Fermi energy level; 4.509 eV for the average work function of bcc tungsten. Selected data are also given for fcc Cu and hcp Re. For harmonic frequencies ~ 10E16 per s of the self-excited metal-lattice plasma, energy gaps of 14.54 and 8.02 eV are found, which correspond to the bulk and surface plasmons, respectively. Further extension of this thermodynamics and metal-lattice theory based approach may contribute to a better understanding of theoretical models which are employed in chemical physics, catalysis and materials science of nanostructures.
Impacts of international maize breeding research in developing countries, 1966-98

This report, which updates and extends the findings of an earlier CIMMYT study published in 1994, documents the impacts of international maize breeding research in the developing world. Covering the period 1966-98, the report reviews public and private investment in maize breeding research, describes the products of public and private maize breeding programs, estimates farm level adoption of modern varieties (MVs), and estimates the gross value of additional grain production attributable to international breeding efforts. Although private companies have greatly increased their investment in maize breeding research in recent years, public maize breeding programs still play an important role, especially in breeding for subsistence-oriented farmers. Seed sales data show that the maize seed industry in many developing countries has effectively been privatized and that hybrid seed sales now dominate sales of all other seed types. The area planted to MVs continues to expand at an impressive rate. Maize MVs are currently grown on at least 58.8 million ha in developing countries, including at least 21.2 million ha planted to MVs that contain CIMMYT germplasm. The gross value of additional grain production attributable to the adoption of maize MVs in developing countries is estimated to range from US$ 3.7 million to US$ 11.1 billion per year. Analysis of varietal pedigrees shows that breeders in both the public and private sectors have made extensive use of CIMMYT germplasm. Over 54% of publicly bred MVs released in the developing world since 1966 have contained CIMMYT germplasm. The pedigrees of many privately bred cultivars are confidential, but CIMMYT germplasm was present in 58% of MVs developed by private breeding programs being sold in the late 1990s for which pedigree information is available. The gross benefits attributable to CIMMYT's maize breeding program are estimated to range from US$ 167 million to US$ 1.5 billion per year.
Evaluation of an ant sampling protocol (Hymenoptera: Formicidae) in three modified environments located inside an austral Atlantic Forest area of Brazil

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Non-Fragile Guaranteed Cost Control of Nonlinear Systems with Different State and Input Delays Based on T-S Fuzzy Local Bilinear Models

This paper focuses on the non-fragile guaranteed cost control problem for a class of Takagi- Sugeno (T-S) fuzzy time-varying delay systems with local bilinear models and different state and input delays. A non-fragile guaranteed cost state-feedback controller is designed such that the closed-loop T-S fuzzy local bilinear control system is delay-dependent asymptotically stable, and the closed-loop fuzzy system performance is constrained to a certain upper bound when the additive controller gain perturbations exist. By employing the linear matrix inequality (LMI) technique, sufficient conditions are established for the existence of desired non-fragile guaranteed cost controllers. The simulation examples show that the proposed approach is effective and feasible.
A New Method to Detect Anomalous State of Network using Information of Clusters

The rapid development of information technology is making large changes in our lives today. Also the infrastructure and services are combinding with information technology which predicts another huge change in our environment. However, the development of information technology brings various types of side effects and these side effects not only cause financial loss but also can develop into a nationwide crisis. Therefore, the detection and quick reaction towards these side effects is critical and much research is being done. Intrusion detection systems can be an example of such research. However, intrusion detection systems mostly tend to focus on judging whether particular traffic or files are malicious or not. Also it is difficult for intrusion detection systems to detect newly developed malicious codes. Therefore, this paper proposes a method which determines whether the present network model is normal or abnormal by comparing it with past network situations.
Antibacterial activity of Kappaphycus alvarezii and Ulva lactuca extracts against human pathogenic bacteria

Seaweeds are important sources of marine ecosystem having various biological activities (Bouhlal et al., 2011; Kayalvizhi et al., 2012). Seaweeds are macroscopic algae are one of nature s most biologically active resources, as they possess a wealth of bioactive compounds and they used to found attached to the bottom in relatively shallow coastal waters. They grow in the intertidal, shallow and deep sea areas up to 180 meter depth and also in estuaries and back waters on the solid substrate such as rocks, dead corals, pebbles, shells and other plant materials. They form one of the important living resources grouped under three divisions namely, Chlorophyceae (green algae), Phaeophyceae (brown algae) and Rhodophyceae (red algae) depending on their nutrient and chemical composition. They are abundant on hard substrates and commonly extending to depths of 30 40 m (Anantharaman, 2002).
A Modified Fourier–Ritz Formulation for Vibration Analysis of Arbitrarily Restrained Rectangular Plate with Cutouts

A modified Fourier–Ritz method is developed for the flexural and in-plane vibration analysis of plates with two rectangular cutouts with arbitrary boundary conditions, aiming to provide a unified solving process for cases that the plate has various locations or sizes of cutout, and different kinds of boundary conditions. Under the current framework, modifying the position of the cutout or the boundary conditions of the plate is just as changing the geometric parameters of the plate, and there is no need to change the solution procedures. The arbitrary boundary conditions can be obtained by setting the stiffness constant of the boundary springs which are fixed uniformly along the edges of the plate at proper values. The strain and kinetic energy functions of a plate with rectangular cutout are derived in detail. The convergence and accuracy of the present method are demonstrated by comparing the present results with those obtained from the FEM software. In this paper, free in-plane and flexural vibration characteristics of the plate with rectangular cutout under general boundary conditions are studied. From the results, it can be found that the geometric parameters and positions of the cutout and the boundary conditions of the plate will obviously influence the natural vibration characteristics of the structures.
Comparative Analysis of Basic Models and Artificial Neural Network Based Model for Path Loss Prediction

Propagation path loss models are useful for the prediction of received signal strength at a given distance from the transmitter; estimation of radio coverage areas of Base Transceiver Stations (BTS); frequency assignments; interference analysis; handover optimisation; and power level adjustments. Due to the differences in: environmental structures; local terrain profiles; and weather conditions, path loss prediction model for a given environment using any of the existing basic empirical models such as the Okumura-Hata’s model has been shown to differ from the optimal empirical model appropriate for such an environment. In this paper, propagation parameters, such as distance between transmitting and receiving antennas, transmitting power and terrain elevation, using sea level as reference point, were used as inputs to Artificial Neural Network (ANN) for the development of an ANN based path loss model. Data were acquired in a drive test through selected rural and suburban routes in Minna and environs as dataset required for training ANN model. Multilayer perceptron (MLP) network parameters were varied during the performance evaluation process, and the weight and bias values of the best performed MLP network were extracted for the development of the ANN based path loss models for two different routes, namely rural and suburban routes. The performance of the developed ANN based path loss model was compared with some of the existing techniques and modified techniques. Using Root Mean Square Error (RMSE) obtained between the measured and the model outputs as a measure of performance, the newly developed ANN based path loss model performed better than the basic empirical path loss models considered such as: Hata; Egli; COST-231; Ericsson models and modified path loss approach.
MATHEMATICAL ANALYSIS OF AN AGE-STRUCTURED SIR EPIDEMIC MODEL WITH VERTICAL TRANSMISSION

In this paper, we consider a mathematical model for the spread of a directly transmitted infectious disease in an age-structured population. We assume that infected population is recovered with permanent immunity or quarantined by an age-specific schedule, and the infective agent can be transmitted not only horizontally but also vertically from adult individuals to their newborns. For simplicity we assume that the demographic process of the host population is not affected by the spread of the disease, hence the host population is a demographic stable population. First we establish the mathematical well-posedness of the time evolution problem by using the semigroup approach. Next we prove that the basic reproduction ratio is given as the spectral radius of a positive operator, and an endemic steady state exists if and only if the basic reproduction ratio $R_0$ is greater than unity, while the disease-free steady state is globally asymptotically stable if $R_0 < 1$. We also show that the endemic steady states are forwardly bifurcated from the disease-free steady state when $R_0$ crosses the unity. Finally we examine the conditions for the local stability of the endemic steady states.
Comparing spatial counts characterizing human mobility using ratio maps

Given two spatial data sets collected over the same geographical region, a common question of interest is the differences between these two data sets. The data may have been collected at two time points and the differences represent how the data has changed over the intervening time period. Or they may be data on two sub-populations and the differences then describe where and how these two subpopulations vary relative to each other. We consider the problem of objectively highlighting the differences between two spatial data sets, and showing these differences on a map. Specifically, we assume that the data sets are collected over a lattice, and model the values of one set as a function of those of the other data set, taking into account the inherent spatial structure. The model is a hierarchical model with spatial errors whose specification controls the amount of smoothing applied to the data. Additional covariates may be added to the model to explore more complex relationships between the two data sets. We apply the method to study the number of commuters to a town as obtained from cellular Call Detail Records, comparing them to Census data, and also model the commuter numbers with underlying population and distance away from the town. We also study differences in the number of visitors to the town during a St. Patrick’s Day parade with visitor numbers on other days.
Asymptotic Analysis of a Deterministic Control System via Euler's Equation Approach

This paper provides necessary conditions in order to guarantee the existence of an unique equilibrium point in a deterministic control system. Furthermore, under additional conditions, it is proved the convergence of the optimal control sequence to this equilibrium point. The methodology to obtain these statements is based on the Euler's equation approach. A consumption-investment problem is presented with the objective to illustrate the results exposed.
White is a colour too: engaging actively with the risks, challenges and rewards of cross-cultural family therapy training and practice

Due to increased global mobility and displacement there is a growing cultural diversity within therapeutic encounters between therapists and clients. Literature on cross-cultural therapy traditionally focuses on the culture of clients. However, due to recent theoretical shifts in the family therapy field, the importance of including the culture of therapists in the discourse about cross-cultural therapy has been highlighted. Drawing on the experience of the author, as therapist, trainee and trainer, as well as recent developments in the literature, this paper reflects on cross-cultural training and practice within family therapy in Britain. The author argues that white is a colour too, thus challenging ‘white’ therapists not to leave thinking about and addressing cross-cultural issues in family therapy to their colleagues ‘of colour’, but to actively engage with the risks and uncertainties of cross-cultural learning and practice. Ways to facilitate this process are suggested. In particular a multi-dimensional approach that allows for complexity and contradiction is promoted and the potential of using the personal life experiences of therapists as a safe, non-pathologizing training tool is discussed.
Bequest taxation, allocation of talents, education and efficiency

In this paper we analyze intergenerational mobility on education. After a brief empirical analysis of the influence of family background on educational attainment, we present a dynamic model where the decisions concerning education may be financially constrained. Therefore, people who get higher educational levels are not necessarily the most talented. This "misallocation effect" causes a reduction in the efficiency of the economic system. We show that a proportional bequest taxation, whose yield is redistributed among all "youths", increases efficiency.
SEGMENTASI DAN PEMISAHAN SEL DARAH PUTIH BERSENTUHAN MENGGUNAKAN K-MEANS DAN HIERARCHICAL CLUSTERING ANALYSIS PADA CITRA LEUKEMIA MYELOID AKUT

The success of identification and classification on diagnosing acute myeloid leukemia (AML) diseases based on image processing relies heavily on segmentation result. Segmentation on peripheral blood smear images aims to separate the leukocytes region with others region. To increase the segmentation accuracy on AML images, a few things regarding lighting condition, contrast, staining variations and the existence of touching cells must be overcome. In this study a method for leukocytes segmentation and separate the touching cell on AML images using cluster analysis with K-Means and hierarchical clustering analysis (HCA) is proposed. K-Means method is used to analyze the cluster for AML images segmentation. The AML image datasets with various staining variations is segmented using K-Means method. The existence of touching cells is separated using HCA method which produce a stable clusters result. Segmentation and cell separation will be processed on local region or sub-image which is obtained from AML images cropping. From the evaluation results in 40 images of AML dataset, the proposed method is capable to properly segment the white blood cells region and separating the touching cell into a single cells. The average value of the segmentation results is 0.977 for precision, 0.885 for recall and 0.928 for Zijdenbos similarity index (ZSI) in white blood cell region. While in nucleus region the average value is 0.975 for precision, 0.924 for recall and 0.948 for ZSI. On cell counting, the error rate is also low which about 7.68%.