Studying the Dynamical Properties of 20 Nearby Galaxy Clusters

Using SDSS-DR7, we construct a sample of 42382 galaxies with redshifts in the region of 20 galaxy clusters. Using two successive iterative methods, the adaptive kernel method and the spherical infall model, we obtained 3396 galaxies as members belonging to the studied sample. The 2D projected map for the distribution of the clusters members is introduced using the 2D adaptive kernel method to get the clusters centers. The cumulative surface number density profile for each cluster is fitted well with the generalized King model. The core radii of the clusters' sample are found to vary from 0.18 Mpc \mbox{h}^{-1} (A1459) to 0.47 Mpc \mbox{h}^{-1} (A2670) with mean value of 0.295 Mpc \mbox{h}^{-1}. The infall velocity profile is determined using two different models, Yahil approximation and Praton model. Yahil approximation is matched with the distribution of galaxies only in the outskirts (infall regions) of many clusters of the sample, while it is not matched with the distribution within the inner core of the clusters. Both Yahil approximation and Praton model are matched together in the infall region for about 9 clusters in the sample but they are completely unmatched for the clusters characterized by high central density. For these cluster, Yahil approximation is not matched with the distribution of galaxies, while Praton model can describe well the infall pattern of such clusters.Comment: 16 pages, 8 figure

A narrative review on the use of lip trainer (Patakara) in oral rehabilitation

The spent time on body exercising is usually given more interest than the exercise of lips, especially after the wide evidence-based demonstrated effects of strong lips on the general health and hence the quality of life. Oral rehabilitation leads to a powerful closure of the lip that can be the first-line defensive mechanism against the many oral dysfunctions as halitosis, snoring, mouth breathing and dryness, and dysfunctions of the oro-gastrointestinal system. The strong lip seal or closure gained from the continuous use of lip muscle trainer (Patakara) not only limits the deteriorated normal physiological oral functions that are associated with the ageing process but also can be considered a good oral rehabilitation device to many oral dysfunctions such as halitosis, snoring, mouth breathing and dryness, and dysfunctions of the oro-gastrointestinal system. Incorporating the use of lip muscle trainer in traditional physiotherapy and rehabilitation programs — especially for geriatrics — is a fundamental part of the whole treatment plan. Physiotherapists must direct their attention toward Patakara utilization in future oral rehabilitation studies to augment and affirm more benefits for this hopeful device. Advising the family relative or caregivers to encourage the elderly to use the lip muscle trainer for maintaining a strong lip is very important

Substituted Quinolinones. Part 16. Preparation and reactions of 3-(4-hydroxy-1-methyl-2-oxo-1,2-dihydroquinolin-3-yl)-3-oxopropanoic acid

Preparation of quinolinyl-3-oxopropanoic acid was accomplished by hydrolysis of pyranoquinolinedione, in aqueous alkaline medium. The chemical behavior of this β-keto acid towards nitrosation, coupling with a diazonium salt, esterification, condensation with 2,2-diethoxyethanamine, hydrazinolysis, Knoevenagel condensation with isatine, salicylaldehyde, 3-formylquinolones, and 3-formylchromone, was investigated. Also many of the products of these reactions were obtained using either pyranoquinolinedione 1 or β-keto acid 2, under the same conditions

An improved Runge-Kutta method for solving fuzzy differential equations under generalized differentiability

In this paper, a new Runge-Kutta method be presented which has the fifth order local truncation error with lower function evaluation in comparison with classical one's. Also we use the generalized derivative instead of Seikkala's derivative to illustrate the efficiency of this derivative. The method's applicability is illustrated by solving a linear first order fuzzy differential equation

Embedded diagonally implicit Runge–Kutta–Nystrom 4(3) pair for solving special second-order IVPs

In this paper, third-order 3-stage diagonally implicit Runge–Kutta–Nystrom method embedded in fourth-order 4-stage for solving special second-order initial value problems is constructed. The method has the property of minimized local truncation error as well as the last row of the coefficient matrix is equal to the vector output. The stability of the method is investigated and a standard set of test problems are tested upon and comparisons on the numerical results are made when the same set of test problems are reduced to first-order system and solved using existing Runge–Kutta method. The results clearly shown the advantage and the efficiency of the new metho

Mixed Statistical Matching Approaches Using a Latent Class Model: Simulation Studies

In the era of data revolution, availability and presence of data is a huge wealth that has to be utilized. Instead of making new surveys, benefit can be made from data that already exists. As, enormous amounts of data become available, it is becoming essential to undertake research that involves integrating data from multiple sources in order to make the best use out of it. Statistical Data Integration (SDI) is the statistical tool for considering this issue. SDI can be used to integrate data files that have common units, and it also allows to merge unrelated files that do not share any common units, depending on the input data. The convenient method of data integration is determined according to the nature of the input data. SDI has two main methods, Record Linkage (RL) and Statistical Matching (SM). SM techniques typically aim to achieve a complete data file from different sources which do not contain the same units. There are a number of traditional matching techniques mentioned in the literature. Among these techniques, there are various approaches for continuous data, but not as many methods for categorical data. This paper proposes a Statistical Matching technique for categorical data based on latent class models within a Bayesian framework. Dirichlet Process Mixture of Product of Multinomial distributions model is used in Statistical Matching throughout this paper which is a fully Bayesian estimation method for latent class models. Performance of the proposed latent class model used for Statistical Matching is evaluated using an empirical comparison with several existing matching procedures based on simulation studies

Determinant Factors for Knowledge Sharing in Facilities Management of Private Finance Initiative Procurement

In the current state of Private Finance Initiative (PFI) procurement, there are numerous problems and issues stressed out by some scholars. The case is more complicated and critical once the PFI procurement come to Facilities Management (FM) phase. By means of accepting the contribution of Knowledge Sharing (KS) towards organizational performance, a cross sectional study design was conducted. This research aims are to identify the determinant factors towards knowledge sharing in facilities management of private finance initiative procurement. A set of questionnaires was developed based on numerous constructs gained from previous studies. A total of 50 set web-based self-administrative questionnaire were distributed amongst FM and PFI procurement experts. However, only 39 sets were answered and completed. The data then analyses using SPSS Statistics Version 21. The finding suggested the conceptual framework for this research consists of five determinant factors as independent variables working culture, staff attitude, motivation to share, nature of knowledge to share, and opportunities to share. Meanwhile, knowledge sharing benefits towards performance management as dependent variables

MORPHOLOGICAL AND CHEMICAL VARIABILITY OF LEBANESE CAROB VARIETIES

Morphological variation (pod length, width, thickness, seed number, volume, weight and specific gravity measurements) and chemical composition (protein, sugar, fiber, ash and total phenol content) of nine carob varieties from different regions of Lebanon were investigated. The obtained results showed that these two criteria exhibit significant differences (p<0.05) allowing thus to establish correlations between morphological aspects and location, mainly latitude. Moreover, the principal component analysis (PCA) of the data allowed separating these varieties in two grouped and two ungrouped populations

On the Performance of Energy Criterion Method in Wi-Fi Transient Signal Detection

In the development of radiofrequency fingerprinting (RFF), one of the major challenges is to extract subtle and robust features from transmitted signals of wireless devices to be used in accurate identification of possible threats to the wireless network. To overcome this challenge, the use of the transient region of the transmitted signals could be one of the best options. For an efficient transient-based RFF, it is also necessary to accurately and precisely estimate the transient region of the signal. Here, the most important difficulty can be attributed to the detection of the transient starting point. Thus, several methods have been developed to detect transient start in the literature. Among them, the energy criterion method based on the instantaneous amplitude characteristics (EC-a) was shown to be superior in a recent study. The study reported the performance of the EC-a method for a set of Wi-Fi signals captured from a particular Wi-Fi device brand. However, since the transient pattern varies according to the type of wireless device, the device diversity needs to be increased to achieve more reliable results. Therefore, this study is aimed at assessing the efficiency of the EC-a method across a large set of Wi-Fi signals captured from various Wi-Fi devices for the first time. To this end, Wi-Fi signals are first captured from smartphones of five brands, for a wide range of signal-to-noise ratio (SNR) values defined as low (−3 to 5 dB), medium (5 to 15 dB), and high (15 to 30 dB). Then, the performance of the EC-a method and well-known methods was comparatively assessed, and the efficiency of the EC-a method was verified in terms of detection accuracy.publishedVersio