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The special techniques for Semen analysis and preparation
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Infertility can be detected when the couples have not completed pregnancy after a year or more of normal coitus. So, in order to treat infertility, there are many supported reproductive techniques are in practice. The success rate of these techniques depends upon the way by which preparation of the paternal semen sample. Over the past 30 years, the manual has been standard as providing global standards and has been used extensively by research and clinical laboratories throughout the world. The spermatozoa of all placental (eutherian) mammals, including humans, are in a protective, no labile formal at ejaculation and are incapable of fertilization even if they are placed in direct contact with an oocyte. Accordingly, they must undergo a subsequent period of final maturation. during which they acquire the capacity to interact with the oocyte cumulus complex and achieve fertilization. In this article we tried to explain the most important analysis and techniques necessary for semen preparation to produce healthy and normal offspring.

Scopus
Publication Date
Mon Jun 10 2019
Journal Name
Journal Of Global Pharma Technology
Mixed Ligand Schiff Base Complexes of Some Meta(II) Salts: Preparation. Spectral Characterization and Antibacterial Screening
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FH Ghanim, Journal of Global Pharma Technology, 2018

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Publication Date
Sun Sep 01 2013
Journal Name
Baghdad Science Journal
Spectrophotometric Determination of Bismuth(III) with 4-(2-pyridylazo) Resorcinol-Application to Waters and Veterinary Preparation
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This paper describes the development of a simple spectrophotometric determination of bismuth III with 4-(2-pyridylazo) resorcinol (PAR) in aqueous solution in the presence of cetypyridinium chloride surfactant at pH 5 which exhibits maximum absorption at 532 nm. Beer's law is obeyed over the range 5-200 µg/25 mL. i.e. 0.2-8 ppm with a molar absorptivity of 3×104 l.mol-1.cm-1 and Sandell's sensitivity index of 0.0069 µg.cm-2. The method has been applied successfully in the determination of Bi (III) in waters and veterinary preparation.

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Crossref
Publication Date
Sun Mar 02 2014
Journal Name
Baghdad Science Journal
Preparation and Characterization of Some Transition Metal Complexes with ( N ,S ,O) New Schiff Base Ligand
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The New Schiff base ligand 4,4'-[(1,1'-Biphenyl)-4,4'-diyl,bis-(azo)-bis-[2-Salicylidene thiosemicarbazide](HL)(BASTSC)and its complexes with Co(II), Ni(II), and Cu(II) were prepared and characterized by elemental analysis, electronic, FTIR, magnetic susceptibility measurements. The analytical and spectral data showed, the stiochiometry of the complexes to be 1:1 (metal: ligand). FTIR spectral data showed that the ligand behaves as dibasic hexadentate molecule with (N, S, O) donor sequence towards metal ions. The octahedral geometry for Co(II), Ni(II), and Cu(II) complexes and non electrolyte behavior was suggested according to the analysis data.

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Crossref
Publication Date
Sun Jun 06 2010
Journal Name
Baghdad Science Journal
Preparation, Characterization and Antimicrobial Activity Study of Some Transition Metal Complexes of 4-Flourophenyl -4-Nitrobenzylidene
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A new Schiff base of 4- flourophenyl-4- nitrobenzyliden (L) ,was prepared and used to prepare a number of metal complexes with Cr (III) , Fe (III), Co(II) ,Ni (II) and Cu (II). These complexes were isolated and characterized by (FITR),UV-Vis spectroscopy and flame atomic absorption techniques in addition to magnetic susceptibility, and conductivity measurements. The study of the nature of the complexes formed in ethanol was done following the molar ratio method gave results, agreed with those obtained from isolated solid state studies. The antibacterial activity for the ligand and its metal complexes were examined against two selected microorganisms, Pseudomonas aeruginosa and Staphylococcus aureus.The results indicated that the complexes

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Publication Date
Wed Feb 14 2024
Journal Name
Russian Journal Of General Chemistry
Preparation, Characterization, and Biological Activity of Mixed Schiff Base Ligand Complexes with Amino Acid L-Proline
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Publication Date
Thu Dec 01 2022
Journal Name
Journal Of Chemical Health Risks
Preparation, Characterization and Antibacterial Activity of some New Oxazolidin-5-one Derivatives Derived from Imine Compounds
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In this research, 5- membered heterocyclic compounds as oxazolidine-5-one J1-J5 derivatives were prepared using primary aromatic amine, aromatic carbonyl compounds and chloroacetic acid. By combining primary aromatic amines and aromatic carbonyl compounds, Schiff's bases were synthesized. Schiff bases are used with the chloroacetic acid compound to prepare oxazolidine-5-one J1-J5 derivatives. The compounds J1-J5 were described using NMR spectroscopy and FT-IR. .The biological efficacy was evaluated according to maximum inhibitory concentrations (MICs) toward Staphyloccoccus aureus and Esherichia coli. The best MIC was 210 μg ml-1 for J4 against the two pathogenic bacteria, while J1, J4, and J1 did not show any inhibitory effect against all

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Publication Date
Fri Dec 01 2023
Journal Name
Russian Journal Of General Chemistry
Preparation, Characterization, and Biological Activity of Mixed Schiff Base Ligand Complexes with Amino Acid L-Proline
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Publication Date
Fri Dec 01 2023
Journal Name
Russian Journal Of General Chemistry
Preparation, Characterization, and Biological Activity of Mixed Schiff Base Ligand Complexes with Amino Acid L-Proline
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Publication Date
Mon Jul 31 2017
Journal Name
Journal Of Engineering
Assessment of Water Clarity within Dokan Lake Using Remote Sensing Techniques
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Publication Date
Sun Feb 25 2024
Journal Name
Baghdad Science Journal
Oil spill classification based on satellite image using deep learning techniques
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 An oil spill is a leakage of pipelines, vessels, oil rigs, or tankers that leads to the release of petroleum products into the marine environment or on land that happened naturally or due to human action, which resulted in severe damages and financial loss. Satellite imagery is one of the powerful tools currently utilized for capturing and getting vital information from the Earth's surface. But the complexity and the vast amount of data make it challenging and time-consuming for humans to process. However, with the advancement of deep learning techniques, the processes are now computerized for finding vital information using real-time satellite images. This paper applied three deep-learning algorithms for satellite image classification

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