Simultaneous Ratio Derivative Spectrophotometric Determination of Paracetamol, Caffeine and Ibuprofen in Their Ternary Form

تم اقتراح طريقتين جديدتين و دقبقتبن و متوافقتين و اقتصاديتين للتقدير الطيفي لكل من الباراسيتامول و الايبويروفين و الكافايين. والطريقتان هما المشتقة النسبية الاولى و الثانية ثنائية المقسوم عليه. و قد اعطى كل من الباراسيتامول و الايبوبروفين و الكافايين قمم مفيدة في التقدير الكمي لكل منهما. و قد تم تقييم جميع انواع تقنيات التقدير للمكونات الثلاثة و هي ارتفاع القمة الى خط الاساس ومساحة القمة و قمة الى قمة بالاستناد الى ICH. كان التناسب خطيا لكلا الطريقتين ما بين 5 مكغم/مل كاقل تركيز و 50 مكغم/مل كأعلى تركيز للمكونات الثلاثة. كانت الاسترجاعية المئوية حوالي 100% و الانحراف المعياري النسبي كان اقل من 2.6%. طبقت الطريقة بنجاح في تقدير كل من الباراسيتامول و الايبوبروفين و الكافايين في مكوناتها الصيدلانية.A new, accurate, precise and economic two spectrophotometric methods for determination of Paracetamol (Par), Ibuprofen (Ibu), and Caffeine (Caf) were suggested. Those methods were the first and second ratio derivative spectrum using a double devisor. Par, Ibu, and Caf showed many useful peaks for their quantified determination. The validity of all analysis modes for determination of the three compounds, peak to baseline, peak area and peak to peak were according to ICH. The linearity of two methods was between 5 µg/ml as a lower concentration and 50 µg/ml as the highest concentration for three compounds. Recovery percentage was around 100% and relative standard deviation was less than 2.6%. The methods were applied successfully in the determination of Par, Ibu, and Caf in pure and pharmaceutical forms

GIS Utilization for Redistributing the Electricity Network Power on Rural Areas

The electrical networks in rural area have being distributed in randomly way, this lead to the problems of: high cost, losses in power, and difficult access. Geographic information system (GIS) is the most successful package for solving the problems that related by spatial data and analysis.  This paper presents REG (Redistributed of Electrical network based-on GIS). Samraa city in Iraq is selected to collect spatial data for the current situation of electricity distribution. REG have been applied to solve the problem of electrical network distribution, it uses the factors: save cost, Efficiency, and accessibility. Which make benefits of the mentioned factors as: save cost (19.2%), accessibility (95%), save power (14%). Keywords: Electric network distribution, GIS network, power loses

Physiological variables and molecular study of KLK2 and KLK3 among patient with benign prostatic hyperplasia

Prostatic hyperplasia is benign tumor occur in prostate. Benign prostatic hyperplasia is common disease in old men. The incidence of disease arises with increase in age. The patient with benign prostatic hyperplasia are estimated 20% of men in 40s old, and 90% in of men in 80s old, and main causes of prostatic hyperplasia are unknown but there is evidence referring to genetic and hormonal disorders that may cause the disease. This study includes 60 patients with prostatic hyperplasia with an average age of 64 years old and 30 samples as a control with same age group. The study obtained that there was significant association (P ≤ 0.05) between PSA (KLK3) and prostatic hyperplasia. Result also mentions that there was significant decrease in testosterone level and significant increase in dihydrotestosterone level. The present study for KLK2 and KLK3 genes showed molecular variation in both genes, varied between polymorphism and allele polymorphism. PCR amplification of specific primers of KLK2 gene showed polymorphisms ranged between 14%, 8%, 10%, and 6% in each KLK2a, KLK2b, KLK2c, and KLK2d primers respectively, while the allele polymorphism in KLK2c amplification with primer reaches 18% of patient. PCR amplification of specific primers of KLK3 gene showed polymorphisms ranged between 10%, 6%, 2%, and 4% in each KLK3a, KLK3b, KLK3c, and KLK3d primer respectively, and allele variation was not detected in amplification product of KLK3.Keywords: Hyperplasia, Prostatic specific antigen, KLK2, KLK

Comparative NO2 Sensing Characteristics of SnO2:WO3 Thin Film Against Bulk and Investigation of Optical Properties of the Thin Film

A comparative investigation of gas sensing properties of SnO2 doped with WO3 based on thin film and bulk forms was achieved. Thin films were deposited by thermal evaporation technique on glass substrates. Bulk sensors in the shape of pellets were prepared by pressing SnO2:WO3 powder. The polycrystalline nature of the obtained films with tetragonal structure was confirmed by X-ray diffraction. The calculated crystalline size was 52.43 nm. Thickness of the prepared films was found 134 nm. The optical characteristics of the thin films were studied by using UV-VIS Spectrophotometer in the wavelength range 200 nm to 1100 nm, the energy band gap, extinction coefficient and refractive index of the thin film were 2.5 eV , 0.024 and 2.51, respectively. Hall measurements confirmed that the films are n-type. The NO2 sensing characteristics of the SnO2:WO3 sensors were studied with various temperatures and NO2 gas concentrations. Both thin film and bulk sensors showed maximum sensitivity at temperature of 250 oC. Thin film sensors showed enhanced response in comparison to that of pellets

DETERMINATION, ISOLATION, AND IDENTIFICATION OF AUCUBIN AND VERBASCOSIDE IN THE LEAVES OF IRAQI PLANTAGO LANCOLETA L. USING DIFFERENT DETECTING METHODS

Objective: Plantago lanceoleta L. (ribwort plantain) is one of the important medicinal herbs which is widespread fortune available in Iraq, that have a wide range of medicinal properties. The aim of this work was to determine, isolate and identify verbascoside and aucubin in Iraqi P. lanceoleta L. by using different chromatographic and spectrometric methods. Methods: Verbascoside and aucubin were isolated and quantified by preparative TLC, and then they were determined by the high-performance thin-layer chromatography (HPTLC) fingerprinting. Aucubin and catalpol in the plant extract were analyzed by liquid chromatography-mass spectrometry (LC-MS); aucubin and verbascoside that isolated from the plant sample were examined by fourier-transform infrared spectroscopy (FT-IR) and LC-MS, respectively. Results: The result showed that the Iraqi P. lanceoleta L. contains 1.74 percent (verbascoside) and 0.24 percent (aucubin) of dry powdered leaves. Each TLC-isolated compound showed a single spot on the HPTLC plate, which give an idea about the purity of the isolated compound. Aucubin (with catalpol) and verbascoside both are detected by LC-MS in different ionization mode. Many functional groups were identified in the TLC-isolated aucubin by FT-IR. Conclusion: The Iraqi P. lanceoleta L. showed a high content of verbasoside, and it is a very rich source for this compound, which can be easily isolated by TLC and subjected to many pharmacological studies. The extract of the young leaves of this plant gave a little amount of aucubin, and it is easy to obtain a higher content from the older leaves

Comparative performance of complex-valued B-spline and polynomial models applied to iterative frequency-domain decision feedback equalization of Hammerstein channels

Complex-valued (CV) B-spline neural network approach offers a highly effective means for identifying and inverting practical Hammerstein systems. Compared with its conventional CV polynomial-based counterpart, a CV B-spline neural network has superior performance in identifying and inverting CV Hammerstein systems, while imposing a similar complexity. This paper reviews the optimality of the CV B-spline neural network approach. Advantages of B-spline neural network approach as compared with the polynomial based modeling approach are extensively discussed, and the effectiveness of the CV neural network-based approach is demonstrated in a real-world application. More specifically, we evaluate the comparative performance of the CV B-spline and polynomial-based approaches for the nonlinear iterative frequency-domain decision feedback equalization (NIFDDFE) of single-carrier Hammerstein channels. Our results confirm the superior performance of the CV B-spline-based NIFDDFE over its CV polynomial-based counterpart

Biomarker Significance of Serum CXCL8, CXCL10 and CXCL16 in Breast Tumors of Iraqi Patients

قيمت الاهمية الواسم-حياتية لثلاث من الحركيات الكيميائية (CXCL8 وCXCL10 وCXCL16) في مصول 45 من مريضات سرطان الثدي و28 من مريضات ورم الثدي الحميد و20 من نساء السيطرة. واعتمدت المرحلة السريرية وتعبير الورم لمستقبلات Estrogen وProgesterone وعامل النمو الشري HER-2 في هذا التقييم. اظهرت النتائج زيادة معنوية في متوسط CXCL8 وCXCL10 وCXCL16 لمريضات سرطان الثدي ومريضات ورم الثدي الحميد مقارنة بالسيطرة (CXCL8: 47.3 و25.7 مقابل 15.0؛ CXCL10: 37.6 و30.7 مقابل 13.1؛ CXCL16: 27.9 و25.2 مقابل 19.2 بيكوغرام/مل، على التوالي). وكانت زيادة مستوى CXCL8 وCXCL16 اكثر وضوحا في المريضات ثلاثية-سالبة التعبير والموجبة للمستقبل HER-2، على التوالي. اظهر تحليل الانحدار اللوجستي الثنائي اهمية CXCL8 كعامل تنبؤي لسرطان الثدي وان ذلك اكثر وصفا في المريضات ثلاثية سالبة التعبير. وفضلا عن ذلك فقد اظهر تحليل خصائص المستقبل التشغيلية باحتلال CXCL8 مساحة تحت المنحنى قدرها 0.988 في مريضات سرطان الثدي. يمكن الاستنتاج بان CXCL8 ذو اهمية لواسم - حياتي لسرطان الثدي خصوصا عند الاخذ بنظر الاعتبار تعبير الورم لمستقبلات Estrogen وProgesterone وعامل النمو الشري HER-2. وفي هذا الصدد، فان الدراسة تقترح الاهمية التنبؤية للحركي الكيميائي-8 في تطور سرطان الثدي لدى المريضات ثلاثية سالبة التعبير.The biomarker significance of three chemokines (CXCL8, CXCL10 and CXCL16) was evaluated in sera of 45 breast cancer (BC) and 28 benign breast lesion (BBL) patients, as well as 20 control women. Clinical stage and tumor expression of estrogen (ER), progesterone (PgR) and human epidermal growth factor receptor-2 (HER-2) receptors were considered in this evaluation. The results demonstrated that CXCL8, CXCL10 and CXCL16 showed a significant increased median in BC and BBL patients compared to control (CXCL8: 47.3 and 25.7 vs. 15.0; CXCL10: 37.6 and 30.7 vs. 13.1; CXCL16; 27.9 and 25.2 vs. 19.2 pg/ml, respectively). The increased levels of CXCL8 and CXCL16 were more pronounced in triple-negative and HER-2 positive patients, respectively. Binary logistic regression analysis revealed that CXCL8 was a significant predictor of BC, and such prediction was more depicted in triple-negative patients. The receiver operating characteristic analysis also revealed that CXCL8 recorded an area under curve of 0.998 in BC patients. In conclusion, CXCL8 is a potential biomarker for BC, especially when ER, PgR and HER-2 expression is considered. In this context, the predictive significance of CXCL8 in influencing BC progression is suggested in triple-negative patients

Single-carrier frequency-domain equalization with hybrid decision feedback equalizer for Hammerstein channels containing nonlinear transmit amplifier

We propose a nonlinear hybrid decision feedback equalizer (NHDFE) for single-carrier (SC) block transmission systems with nonlinear transmit high power amplifier (HPA), which significantly outperforms our previous nonlinear SC frequency-domain equalization (NFDE) design. To obtain the coefficients of the channel impulse response (CIR) as well as to estimate the nonlinear mapping and the inverse nonlinear mapping of the HPA, we adopt a complex-valued (CV) B-spline neural network approach. Specifically, we use a CV B-spline neural network to model the nonlinear HPA, and we develop an efficient alternating least squares scheme for estimating the parameters of the Hammerstein channel, including both the CIR coefficients and the parameters of the CV B-spline model. We also adopt another CV B-spline neural network to model the inversion of the nonlinear HPA, and the parameters of this inverting B-spline model can be estimated using the least squares algorithm based on the pseudo training data obtained as a natural byproduct of the Hammerstein channel identification. The effectiveness of our NHDFE design is demonstrated in a simulation study, which shows that the NHDFE achieves a signal-to-noise ratio gain of 4dB over the NFDE at the bit error rate level of 10−4

Noise Effects on a Proposed Algorithm for Signal Reconstruction and Bandwidth Optimization

The development of wireless technology in recent years has increased the demand for channel resources within a limited spectrum. The system\u27s performance can be improved through bandwidth optimization, as the spectrum is a scarce resource. To reconstruct the signal, given incomplete knowledge about the original signal, signal reconstruction algorithms are needed. In this paper, we propose a new scheme for reducing the effect of adding additive white Gaussian noise (AWGN) using a noise reject filter (NRF) on a previously discussed algorithm for baseband signal transmission and reconstruction that can reconstruct most of the signal’s energy without any need to send most of the signal’s concentrated power like the conventional methods, thus achieving bandwidth optimization. The proposed scheme for noise reduction was tested for a pulse signal and stream of pulses with different rates (2, 4, 6, and 8 Mbps) and showed good reconstruction performance in terms of the normalized mean squared error (NMSE) and achieved an average enhancement of around 48%. The proposed schemes for signal reconstruction and noise reduction can be applied to different applications, such as ultra-wideband (UWB) communications, radio frequency identification (RFID) systems, mobile communication networks, and radar systems