Synthesis and Characterization of New 1,2,4-Triazole Derivatives Form 2-Naphthol

في هذا البحث تم تحضير مشتقات 4,2,1-ترايازول من 4-]ايزو(2-هايدروكسي نفثايل)[حامض البنزويك [N1] والتي حولت الى بنزوات 4-]ايزو(2-هايدروكسي نفثايل)[ .[N2] المركب [N2] يتم تفاعله  مع الثايوسيمي كاربزايد وبعد ذلك تم غلقه بواسطة هيدروكسيد الصوديوم ليعطي4,2,1 - ترايزول .تم اضافة هاليدات الكيل مختلفة (يوديد المثيل, كلوريد الاليل, كلوريد البروبرجايل وكلوريد البنزايل) الى 4-ايزو](2- هيدروكسي نفثايل)4,2,1-ترايزول[ [N4] باستعمال جهاز الامواج الصوتيه ( (sonicatorلغرض الكلة الترايازول لينتج المركبات [N5-N8]. وقد شخصت المركبات المحضرة الجديدة بواسطة الاشعة تحت الحمراء ، الرنين النووي المغناطيسي , والتحليل الطيفي للأشعة فوق البنفسجية المرئية تقنيات تحليل العناصرIn this work 1,2,4-triazole derivatives were synthesized from [4-(2-hydroxy naphthyl)diazenyl]benzoic acid [N1] then converted to  [4-(2-hydroxy naphthyl)diazenyl] benzoate [N2] which reacted with thiosemicarbazide and then cyclization by using sodium hydroxide. Then different alkyl halides like (methyl iodide, allyl chloride, proprgyl chloride and benzyl chloride) were added to[4-(2-hydroxy naphthyl)diazenyl]-4H-1,2,4-triazole-3-thiol [N4] that led to alkylation of thiol to afforded compounds [N5] – [N8]. These compounds were characterized by the following techniques: FT-IR, and 1H , 13C NMR spectroscopies, and elemental analysis C.H.N.S. The physical properties of prepared compounds were studied

Synthesis, Characterization and Catalytic Activity of NiO-CoO-MgO Nano-Composite Catalyst

The ternary NiO-CoO-MgO catalyst in three ratios 20:20:60, 25:25:50, and 30:30:40 for these component oxides respectively, were synthesized by co-precipitation method of their carbonates by addition of a precipitate agent in basic media, and then calcinated these carbonate to obtain of mixed oxides. The prepared catalysts were characterized by using Powder X-Ray Diffraction (PXRD), Fourier Infrared spectroscopy (FT-IR), and Atomic Force Microscopy techniques (AFM) were used for identification of the prepared catalysts. The result showed that the particle size of these catalyst ratios, were in the nano range and the smallest size was 25:25:50. The investigation of catalytic activity of prepared catalysts was done by photo decolorization of Celestine blue B dye from simulated industrial wastewaters in aqueous solution. The decolorization efficiency of dye reached 99.9% after irradiation time for 1 h. Study the effect of different reaction conditions such as the pH of the medium, the weight of semiconductor and temperature of mixture reaction were shown that the maximum degradation was observed in conditions at pH = 4, catalyst dosage = 0.08 g, and temperature = 303 K

Preparation of MWCNTS/Cr₂O₃-NiO Nanocomposite for Adsorption and Photocatalytic Removal of Bismarck Brown G Dye from Aqueous Solution

This work describes the synthesis of nanocomposites of multiwall carbon nanotubes (MWCNTs) with co-oxide nanocomposite (MWCNTs)/MO. These nanocomposites were prepared using a simple evaporation and drying process. The obtained composites were characterized using X-ray diffraction (XRD), Atomic force microscopy (AFM), Fourier Transform Infrared Spectroscopy (FTIR), and scanning electron microscopy (SEM). The activity of the prepared composites was investigated by following the removal of Bismarck brown G dye (BBG) from aqueous solution via adsorption processes and photocatalytic reactions. Different reaction parameters were performed such as the effect of dosage of the used nanocomposite, pH value, and effect of temperature. In addition to that adsorption isotherms and reaction kinetics were investigated. The efficiency of photocatalytic dye removal over the prepared composites was 99.9% after one hour of reaction at the optimal conditions which were mass dosage (0.03 g), pH (5), and temperature (303 K). The adsorption isotherm data were fitted with Langmuir isotherm and the kinetic data were fitted with the pseudo-second-order kinetic model

SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study

Background: Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. Methods: The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18-49, 50-69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty. Results: NNVs were more favourable in surgical patients than the general population. The most favourable NNVs were in patients aged 70 years or more needing cancer surgery (351; best case 196, worst case 816) or non-cancer surgery (733; best case 407, worst case 1664). Both exceeded the NNV in the general population (1840; best case 1196, worst case 3066). NNVs for surgical patients remained favourable at a range of SARS-CoV-2 incidence rates in sensitivity analysis modelling. Globally, prioritizing preoperative vaccination of patients needing elective surgery ahead of the general population could prevent an additional 58 687 (best case 115 007, worst case 20 177) COVID-19-related deaths in 1 year. Conclusion: As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population