Introduction: Nitrofurantoin (NFT) is abroad spectrum bactericidal antibiotic. The bioavailability of NFT is affected by many factors. Samafurantin® tablets containing 50 mg NFT were manufactured by Samarra drug industry. Urinary excretion studies were employed since; the urinary tract is the main site of NFT action and excretion. Objective: The objective of the study was to investigate the effect of Uricol® and food on secondary pharmacokinetic parameters of Samafurantin® tablets with different doses by applying urinary data. Methods: Twelve healthy male volunteers participated in this study. Urine samples were collected from each volunteer after overnight fasting at a specified time intervals which considered as a blank sample for measuring urine pH of urine. After that, volunteers were randomly divided into two groups (G1 and G2) each of six. Group 1 was administered 100 mg of NFT (Two tablets of 50 mg Samafurantin®) while, G2 was administered 200 mg of NFT (Four tablets of 50 mg Samafurantin®) as a single oral dose. Both groups administered the dose on an empty stomach (fasting), along with one Uricol® of 5 g sachet on fasting, and on full stomach after eating a standard breakfast after 1-week washout period between each experiment and another. For each experiment, urine samples were collected from each volunteer from 0.25 to 7 h post dosing. In addition, the volume of each void urine sample was measured. Results: Both groups (G1 and G2) showed only slight differences in the pH of urine after administration of Samafurantin® as compared with that of the blank. While, the pH of urine for both groups was higher after administration of Samafurantin® tablets along with Uricol® 5 g. In both groups, each of Uricol® and food exhibited no significant differences (P < 0.05) in secondary pharmacokinetic parameters of NFT; the rate constant of elimination (Kel) and absorption (Ka) and consequently their half-life (t0.5 el and t0.5 abs) as long as the drug followed first-order kinetics. While significant differences (P < 0.05) were observed for maximum excretion rate (ExRmax), cumulative amount excreted in urine (CAe) and CAe as percentage of the dose. This could be attributed to the pH-change of urine by Uricol® which alkalinized the urinary and kidney tract or delaying gastric emptying by food. Same observations were attained when comparing G1 with G2 after administration of NFT on fasting. Conclusions: Administration of Samafurantin® tablets at higher doses, along with Uricol® or with food increases secondary pharmacokinetic parameters related to the rate and extent of absorption and elimination without significant changes in their corresponding rate constants and half-lives. © 2018 Drug Invention Today.
In this work, silver (Ag) self-metallization on a polyimide (PI) film was prepared through autocatalytic plating. PI films were prepared through the solution casting method, followed by etching with potassium hydroxide (KOH) solution, sensitization with tin chloride (SnCl2), and the use of palladium chloride (PdCl2) to activate the surface of PI. Energy-dispersive X-ray analysis (EDX) showed the highest peak in the (Ag) region and confirmed the presence of AgNPs. The diffraction peaks at 2θ = 38.2°, 44.5°, 64.6°, and 78.2° represented the 111, 200, 220, and 311 planes of Ag, respectively. The FT–IR an
... Show MoreIn this article, we introduced a new concept of mappings called δZA - Quasi contractive mapping and we study the K*- iteration process for approximation of fixed points, and we proved that this iteration process is faster than the existing leading iteration processes like Noor iteration process, CR -iteration process, SP and Karahan Two- step iteration process for 𝛿𝒵𝒜 − quasi contraction mappings. We supported our analytic proof by a numerical example.
A comprehensive review focuses on 3D network-on-chip (NoC) simulators and plugins while paying attention to the 2D simulators as the baseline is presented. Discussions include the programming languages, installation configuration, platforms and operating systems for the respective simulators. In addition, the simulator’s properties and plugins for design metrics evaluations are addressed. This review is intended for the early career researchers starting in 3D NoC, offering selection guidelines on the right tools for the targeted NoC architecture, design, and requirements.
International Journal on Technical and Physical Problems of Engineering
Starting from 4, - Dimercaptobiphenyl, a variety of phenolic Schiff bases (methylolic, etheric, epoxy) derivatives have been synthesized. All proposed structure were supported by FTIR, 1H-NMR, 13C-NMR Elemental analysis all analysis were performed in center of consultation in Jordan Universty.
The study involves removing of [Alizarin Red S (ARS) and Alizarin yellow R (AYR)] by using Iraqi Siliceous Rocks Powder (SRP). Adsorption isotherms were studied and the factors which influence it, such as temperature and salt effect. Adsorption isotherms of (ARS) were found to be comparable to Temkin equation. Adsorption isotherms of (AYR) were found to be comparable to Freundlich equation. The adsorption process on this surface was studied at different temperatures. The results showed that the adsorption of (ARS,AYR) on surface increased with increasing temperature (Endothermic process). According to the above results the thermodynamic functions (ΔH, ΔG, ΔS) were calculated. The adsorption quantity increasing for (ARS, AYR) with increas
... Show MoreThe use of real-time machine learning to optimize passport control procedures at airports can greatly improve both the efficiency and security of the processes. To automate and optimize these procedures, AI algorithms such as character recognition, facial recognition, predictive algorithms and automatic data processing can be implemented. The proposed method is to use the R-CNN object detection model to detect passport objects in real-time images collected by passport control cameras. This paper describes the step-by-step process of the proposed approach, which includes pre-processing, training and testing the R-CNN model, integrating it into the passport control system, and evaluating its accuracy and speed for efficient passenger flow
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