Al-Nahrain Journal of Science

Normal spectra for sulfamethoxazolesolutions were developed and used for the determination of sulfamethoxazole (SMX) antibiotic by using zero-crossing technique and simultaneously determining (SMX) at wavelength 259.00 nm. The correlation coefficient of the calibration curve for the normalspectrum was 0.9990. Linearity was maintained by using concentrations (0.990104M, 0.996104M, 0.999104M, 1.004104M, 1.005104M) and the percentage recovery of sulfamethoxazolesamples were (99.00%, 99.60%, 99.90 %, 100.40 % and 100.50 %). A statistical analysis confirmed, a precision with accuracy for simultaneous fixing of (SMX). In addition, a British pharmacopoeia method was compared with the method used in this paper using F test

New derivatives of pyrrolidine-2-one have been prepared by lactamization of -butyrolactone GBL with hydrazine hydrate (NH2NH2(80%)) to afford (1-aminopyrrolidin-2-one) which undergo many reactions to prepare the other derivatives. The prepared derivatives were determined by utilizing their FT-IR,1H-NMR and some by Mass spectrum. These derivatives were evaluated biologically against (Staphylococcus aureusand E. coli).Some of these derivatives exhibited good biological activity against one or both kind of bacteria while some exhibited no biological activity at all

The quantification of a plant, which is vital in medication bearing antioxidant activity of the North West area of the province Balochistan Ebenus Stellata family Fabaceae is explained in this paper. The plant composition was determined chemically through well-known four analytical tests and sensitive EMR operating techniques. The crude extract was obtained from the plant by using methanol, and the antioxidant activity of that extract was measured. Additionally, with the help of spectrophotometer, antioxidant potentials were determined through the DPPH (2, 2-Diphenyl-1-Picrylhydrazyl) assay, Ferric ion (Fe+3) reducing antioxidant power assay, Ferric (Fe+3) reducing antioxidant potential (FRAP) assay, and total antioxidant capacity (TAC) of the phosphomolybdenum assay. The potency of the DPPH assay ofEbenus Stellatawas 179 mg/g ofascorbic acid concentration. Moreover, the FRAP and TAC values were 9.2mg and 35 mg of ascorbic acid/g ofEbenus stellate extract, respectively. Furthermore, RP denotes 2.6 mg/g of ascorbic acid concentration. The concerned plant showed high antioxidant activity

The research is concerning synthesis of two di-imine ligands derived from thiadiazole heterocyclic compounds. 1, 3, 4-thiadiazole-2, 5-dihydrazino is considered as ligand (L1) and starting essential compound that used as precursor to synthesize the new ligand (2, 2'-(((1,3,4-thiadiazole-2,5-diyl)bis(hydrazin-2yl1ylidene))bis (methaneylylide)) diphenol (L2). Six new complexes were derived from the ligands using some transition metal ions like Cu(II), Ni(II), and Cr(III).The synthesized compounds characterized by infra-red, ultra-violet-visible and gas chromatography-mass spectroscopy, conductivity, and thermal analysis. The coordination modes were suggested to be N2from two terminals to form binuclear complexes. The mentioned characterization methods showed that the prepared complexes may have chelation pattern (bidentate or tridentate) depending on the suggested geometry (square planer or octahedral) and the type of ligand.

This study illustrated the synthesis of two new di amidine compounds ([c] and [d]) by reaction of 6-amino penicillanic acid (6-APA) with diα-amino nitrile compounds ([a] and [b]). [a] and [b] di α-amino nitrile compounds synthesized from the condensation reaction on aldehyd and di amine in the presence of potassium cyanid as one pot-three components reaction. The new di amidine compounds ([c] and [d]) have been proven their efficiency by inhibiting some types of bacteria (Staphylococcus aurous, Streptococcus, Escherichia coliand klebsiella). Amidine compound [d] showed better effect than [c] against the selected bacteria.The synthesized compounds were characterized by conventional techniques using infrared spectrophotometer (IR) andproton-nuclear magnetic resonance (1H-NMR)

The neutron, proton, and matter densities of the ground state of the 14B and 17C exotic nuclei are analyzed using the binary cluster model (BCM). Two density parameterizations are used in BCM calculations namely; Gaussian (GS) and harmonic oscillator (HO) parameterizations. According to the calculated results it found that, the BCM gives a good description of the nuclear structure for above neutron-rich exotic nuclei. The elastic form factors of theunstable 14B and 17C exotic nuclei and those of their stable isotopes 10B and 13C are determined using the plane-wave Born approximation. The main difference between the elastic form factors of unstable nuclei and their stable isotopes is due to the difference in the center of mass correction. Moreover, the Glauber model is used to calculate the matter rms radii and reaction cross section of these exotic nuclei. The calculate results of the mentioned nuclei give a good accordance with the experimental data

Two types of alloy (Steel and Kovar) were prepared and machined as half ring. Wear testing system was used to determine the wear rate of specimens without any lubrication, and after modified wear testing system which was used to test the specimen under lubricant condition. The wear rate wasdetermined by using weighing method and then calculated. The results shows the values of wear rate of kovar specimens are higher than the values of wear rate for steel specimens in both two cases with and without lubrication. The result of wear rates wereplotted as function of sliding time at a fixed normal load

For most of people, e-mail is the preferable medium for official communication. E-mail service providers face an endless challenge called spamming. Spammingis the exploitation of e-mail systems to send a bulk of unsolicited messages to a large number of recipients. Noisy image spamming is one of the new techniques to evade text analysis based and Optical Character Recognition (OCR) based spams filtering. In the present paper, Convolutional Neural Network (CNN) based on different color models was considered to address image spam problem. The proposed method was evaluated over a public image spam dataset. The results showed that the performance of the proposed CNN was affected by the color model used. The results also showed that XYZ model yields the best accuracy rate among all considered color models

FakeNews is one of the most popular phenomena that have considerable effects on our social life, especially in the political domain. Nowadays, creating fake news becomes very easy because of users' widespread using the internet and social media. Therefore, the detection of elusiveness news is a crucial problem that needs to be considerable mainly because of its challenges like the limited amount of the benchmark datasets and the amount of the published news every second. This research proposed utilizing two different machine learning algorithms (random forest and decision tree (J48)) to detect the fake news. In this paper, the full dataset size equals 20,761 samples, while the testing sample size equals 4,345 samples.The preprocessing steps start with cleaning data by removing unnecessary special characters, numbers, English letters, and white spaces, and finally, removing stop words is implemented. After that, the most popular feature extraction method (TF-IDF) is used before applying the two suggested classification algorithms. The results show that the best accuracy achieved equals 89.11% using the decision tree model while using the random forest; the accuracy achieved equals 84.97 %