مقدمة
تدور الدراسة في علم الاقتصاد المنزلي حول احتیاجات الانسان الضروریة لاستمرار الحیاة ومواقف في محیط
الاسرة وتفاعل مع ظروف البیئة المحیطة بھ .والتي تكون دائمة التغییر لذلك یمكن تعریف علوم وفنون الاقتصاد
المنزلي وفنونھ انھا عبارة عن مجموعة منظمة من المعارف والعلوم تتركز في محور الاسرة والمنزل حیث ینمو
ویتطور الانسان بالعلاقات الانسانیة والنواحي الاقتصادیة والاجتماعیة من جھة والنواحي العلمیة والفنیة الخاصة
بالغذاء من جھة اخرى فضلا عن النواحي العلمیة والفنیھ الخاصة بالمنسوجات والملابس التي تحتاجھا افراد الاسرة
لاتصالھا الوثیق بحیاتھم الیومیة . بحیث یعتقد البعض انھ لایوجد حقل من حقول المعرفة یعنى بحاجات الاسرة
المعاصرة وادارتھا اكثر مما یستطیع تخصص الاقتصاد المنزلي تقدیمھ . ذلك انھ یتنافس مع حقول المعرفة
المتنوعة بجانبیھا النظري والعملي من خلال تطوره المستمر ذو العلاقة بتطور مفردات حیاة الانسان.
إن تطور غایات الاقتصاد المنزلي لھ اھمیة في جعل الفرد یعیش في المجتمع عضواً نافعاً ویساعد غیره من
الافراد . كذلك یساعد على تنمیة المفاھیم والمھارات التي یحتاجھا الفرد في حاضره ومستقبلھ . ومن ھذا المنطلق
جاءت اھمیة تخصص الاقتصاد المنزلي عالمیاً حیث اصبح لھ اقسام وكلیات متكاملة في مختلف البلدان شرقاً وغرباً
. وفي الوطن العربي ھناك كلیات متخصصة في الاقتصاد المنزلي ویدرس بجدیة في مدارس البنات ضمن المواد
الدراسیة في مناھجھا ولھ ثُقلھ الخاص لاھمیتھ للفتیات في حیاتھن ، كما ان ھناك جمعیات عالمیة للاقتصاد المنزلي
في دول مختلفة ومشھورة عالمیاً بالدوریات التي تصدرھا وبمؤتمراتھا الفعالة .
ومع التطور الاجتماعي والتقدم العلمي والتكنولوجي تغیر نمط الحیاة وزادت اھمیة الجانب العلمي لمختلف
انشطة الحیاة . ولذلك تغیر مفھوم الاقتصاد المنزلي ومضمونھ للایفاء بالاحتیاجات الجدیدة للاسرة والمجتمع واصبح
تركیزه حالیاً على الجانب العلمي وجعل الاسرة محوراً للدراسة فضلاً عن المرونة وسھولة التكیف للتغییرات التي
تمس حیاة الاسرة والمجتمع .
Density data of alum chrom in water and in aqueous solution of poly (ethylene glycol) (1500) at different temperatures (288.15, 293.15, 298.15) k have been used to estimate the apparent molar volume (Vθ), limiting apparent molar volume (Vθ˚) experimental slope (Sv) and the second derivative of limiting partial molar volume [δ2 θ v° /δ T2] p .The viscosity data have been analyzed by means of Jones –Dole equation to obtain coefficient A, and Jones –Dole coefficient B, Free activation energy of activation per mole of solvent, Δμ10* solute, Δμ20* the activation enthalpy ΔH*,and entropy, ΔS*of activation of viscous flow. These results have been discussed in terms of solute –solvent interaction and making/breaking ability of so
... Show MoreBackground: The aim of this study was to evaluate the expression of ?broblast growth factor-2 and Heparanase in oral squamous cell carcinoma, and to correlate the two studied marker with each other and with clinicopathologicalfinding including grade, stage. Methods: Sections of 30 formalin-fixed paraffin embedded blocks specimens of oral squamous cell carcinoma were immunostained to assess the expression of ?broblast growth factor-2 and Heparanse in oral squamous cell carcinoma cases. Results: The expression of fibroblast growth factor-2 and Heparanase were positive in all oral squamous cell carcinoma cases (100%). The positive expression of fibroblast growth factor-2 was significantly correlated with tumor site (p=0.016),and clinical pres
... Show MoreCopper and Zinc powders with different particle sizes were subjected to sieving of range (20-100?m) and He-Ne laser system to determine the particle size . 1wt% from each powders was blended carefully with 99wt% from Iraqi oil . Microscopic examination were carried for all samples to reveal the particle size distribution . XRF intensity measurements were conducted for all suspended samples , and the relation between XRF intensity and the particle size was found .
A simple , sensitive and accurate spectrophotometric method for the trace determination of bismuth (III) has been developed .This method is based on the reaction of bismuth (III) with arsenazo(III) in acid solution (pH=1.9) to form a blue water soluble complex which exhibits maximum absorption at 612nm .Beer's law is obeyed over the concentration range of 2-85 ?g bismuth (III) in a final volume of 20 mL( i.e. 0.1 – 4.25?g.mL-1) with a correlation coefficient of (0.9981) and molar absorptivity 1.9×104 L.mol-1.cm-1 . The limit of detection (LOD) and the limit of quantification (LOQ) are 0.0633 and 0.0847 ?g.mL-1 , respectively . Under optimum conditions,the stoichiometry of the reaction between bismuth (III) and arsenazo(III) r
... Show MoreKlebsiella pneumoniae has been found in the urinary tract of some bladder cancer patients. Bacterial presence within tumor tissue may affect the tumor-microenvironment and consequently influence cancer behavior, development, and treatment response. This study investigated mesenchymal and stemness transdifferentiation of bladder cancer cell line due to environmental stress of K. pneumoniae. Cultures of urothelial bladder cancer cell line (T24) were infected with K. pneumoniae with different multiplicity of infection (MOI) for two and four days. Transdifferentiation-associated features were morphologically assessed.
Moreover, transdifferentiation markers were estimated using Q-PCR and immunohistoc
... Show MoreIn this work, the possibility to use new suggested carriers (D= Aspirin, Ibuprofen, Paracetamol, Tramal) is discussed for diclofenac drug (voltarine) by using quantum mechanics calculations. The calculation methods (PM3) and (DFT) have been used for determination the reaction path of (O-D) bond rupture energies. Different groups of drugs as a carrier for diclofenac prodrugs (in a vacuum) have been used; at their optimized geometries. The calculations included the geometrical structure and some of the physical properties, in addition to the toxicity, biological activity, and NLO properties of the prodrugs, investigated using HF method. The calculations were done by Gaussian 09 program. The comparison was made for total energies of reactan
... Show MoreThe purpose of this paper is to model and forecast the white oil during the period (2012-2019) using volatility GARCH-class. After showing that squared returns of white oil have a significant long memory in the volatility, the return series based on fractional GARCH models are estimated and forecasted for the mean and volatility by quasi maximum likelihood QML as a traditional method. While the competition includes machine learning approaches using Support Vector Regression (SVR). Results showed that the best appropriate model among many other models to forecast the volatility, depending on the lowest value of Akaike information criterion and Schwartz information criterion, also the parameters must be significant. In addition, the residuals
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