Abstract:
This investigation was carried out to study the nutritional adequacy for
infant milk formula, which imported by Iraqi Ministry of Trade, and are
available in local markets .Most of these formulas contained nearly the same
composition of nutrients which are ,Matines ,Sunny Boy , Salsabeel AL- Badie
,Moroug, ,Charton ,Materna Lery Celia ,Lacstar Lailac,Nactalia. yet they are
unbalanced for providing the daily nutritional requirements for infants whom
depend on bottle feeding for six times daily in their first six month of age. As
there were an increase in daily intake for protein content and most vitamins
that included D, E, C, B1, B2, Niacin, B6, B12, and Biotin as well as most
minerals namely Calci

Objective the research is to identify Over the Commitment of a Rushed Bank in Baghdad has applied social responsibility in accordance with ISO 26000 by measuring and diagnosing the gap between the actual reality in the bank and the requirements of the standard.

This work aimed to design and testing of a computer program – based eyeQ improvement, photographic memory enhancement, and speed reading to match the reading speed 150 – 250 word per minute (WPM) with the mind ability of processing and eye snap shooting 5000WPM . The package designed based on Visual Basic 6. The efficiency of the designed program was tested on a 10 persons with different levels of education and ages and the results show an increase in their reading speed of approximately 25% in the first month of training with noticeable enhancement in the memory as well as an increase in the ability to read for longer time without feeling nerves or boring, a nonlinear continuously increase in reading speed is assured after the first mo

     This paper presents the synthesis of a polypropylene nanocomposite. The  nanocomposites were characterized using different techniques: atomic electron microscopy (AFM), surface shape was evaluated by (SEM),(EDS),(XRD) and (FTIR). The study showed that the platinum nanocomposite had a fatal effect on both strains of bacteria used, as well as on the growth of fungi. The compound tested showed antioxidant properties moderate activity was found. The mentioned material were evaluated in normal cell line HdFn (Human Dermal Fibroblasts, neonatal)  and breast cancer MCF-7 cancer cell line , by MTT assay for study cytotoxic effects, morphological changes, all experiments were conducted on cell lines by using the

Within the framework of big data, energy issues are highly significant. Despite the significance of energy, theoretical studies focusing primarily on the issue of energy within big data analytics in relation to computational intelligent algorithms are scarce. The purpose of this study is to explore the theoretical aspects of energy issues in big data analytics in relation to computational intelligent algorithms since this is critical in exploring the emperica aspects of big data. In this chapter, we present a theoretical study of energy issues related to applications of computational intelligent algorithms in big data analytics. This work highlights that big data analytics using computational intelligent algorithms generates a very high amo

Polarization manipulation elements operating at visible wavelengths represent a critical component of quantum communication sub-systems, equivalent to their telecom wavelength counterparts. The method proposed involves rotating the optic axis of the polarized input light by an angle of 45 degree, thereby converting the fundamental transverse electric (TE0) mode to the fundamental transverse magnetic (TM0) mode. This paper outlines an integrated gallium phosphide-waveguide polarization rotator, which relies on the rotation of a horizontal slot by 45 degree at a wavelength of 700 nm. This will ultimately lead to the conception of a mode hybridization phenomenon in the waveguide. The simulation results demonstrate a polarization co

Abstract

  Bivariate time series modeling and forecasting have become a promising field of applied studies in recent times. For this purpose, the Linear Autoregressive Moving Average with exogenous variable ARMAX model is the most widely used technique over the past few years in modeling and forecasting this type of data. The most important assumptions of this model are linearity and homogenous for random error variance of the appropriate model. In practice, these two assumptions are often violated, so the Generalized Autoregressive Conditional Heteroscedasticity (ARCH) and (GARCH) with exogenous varia