Hydro/Solvothermal Synthesis, Structures and Properties of Metal-Organic Frameworks Based on S-Block Metals

Carbon dioxide removal from flue gases of power plants is critical for reduction of greenhouse gas emissions implicated in global warming. Metal Organic Frameworks (MOFs) promising potential applications in carbon dioxide capture due to their unique structural properties such as high porosity and high thermal stability. These MOFs have application in separation processes and gas storage. By the assembly of the organic ligands and metal oxide clusters, porous MOFs can be synthesized. The use of s-block metals such as calcium, magnesium and rubidium in porous materials is appealing because their ionic binding characters with organic ligands will general flexible MOFs. The bonding interaction of s-block metal centers with carboxylate oxygen atoms is mainly ionic in nature due to large differences in electronegativity. The s-block elements can form low density frameworks which could increase the gas uptake capacity of small molecules. This work focuses on synthesis of new metal organic frameworks (MOFs) using s-block metals. Different types of the carboxylic ligands were utilized for synthesis of MOFs. Four new calcium or rubdium metal organic frameworks, [Ca3(btc)2(H2O)12] (1) and [Ca2(btc)(pzc)(H2O)3] (2) (btc=benzene-1,3,5-tricarboxylate, pzc = pyrazine-2- carboxylate), [Ca(Hbtc)(H2O)]•H2O (6), and [Rb(Hbdc)] (7) have been synthesized using the hydro/solvothermal method and have been characterized using X-ray diffraction, IR, UV-vis, TGA and fluorescence analysis. The structures of compounds 1, 6 and 7are three-dimensional frameworks while that of compound 2 is a double layered network

Acquired Hemophilia A Presenting as Intramuscular Hematoma

Acquired hemophilia A poses a clinical and diagnostic challenge. Although rare, it is still the most common acquired factor deficiency. We present a case of acquired hemophilia A diagnosed in a 71-year-old female who presented with a right thigh hematoma of acute onset. The diagnosis was established based on the coagulation profile along with factor VIII levels, mixing studies, and inhibitor levels. The patient received multiple lines of therapy including steroids, factor VIIa, Obizur (porcine-derived recombinant factor VIII), followed by multiple cycles of chemotherapy including cyclophosphamide and rituximab

Analysis of lung cancer predictionusing machine learning algorithms

With the advancement of artificial intelligence, Machine learning approaches have played a crucial role in identifying, predicting, and diagnosing malignant illnesses due to their speed and accuracy.  In the healthcare industry, machine learning algorithms like Logistic Regression, KNN Classifier, Support Vector Machine, Decision Tree, Nave Bayes, Random Forest, AdaBoost, Stacking Classifier, and Voting Classifier have contributed to the analysis and prediction of lung cancer prognosis [1].  This paper discusses the comparative study of all nine algorithms mentioned above.  As a result, instead of referring to many publications, this document will assist scholars in swiftly scanning the project results

Total synthesis of clavosolide A

For the total synthesis of (-)-clavosolide A described herein, a Schmidt glycosidation reaction was used to attach the sugar moiety at an early stage in the synthesis to the 4-hydroxy group of the substituted tetrahydropyran unit of the molecule, which itself was built following a Ti(III)-mediated method developed by us earlier, and at the end, it was the Yamaguchi reaction that was successfully employed for the cyclodimerization of the two halves of the molecule leading to its total synthesis

Synthesis of 4<i>H</i>-chromene-3,4-dicarboxylate derivatives <i>via</i> an isocyanide-based one-pot three component reaction

1420-1423An efficient one pot three-component reaction method has been developed for the synthesis of dialkyl-5,8-dihydro-6-hydroxy-5,8-dioxo-2-(alkyl/arylamino)-7-undecyl-4H-chromene-3,4-dicarboxylate derivatives by the reaction of embelin, dialkylacetylenedicarboxylates and alkyl/aryl isocyanides. The method when applied to the synthesis of the title compounds give good yields at room temperature with easy reaction work-up. All the synthesized compounds are well characterized by physical and analytical spectral data (IR, 1H and 13C NMR, mass and elemental analyses)

Dynamic thermal study to rationalise the role of titania in reaction sintering of magnesia-alumina system

Magnesia-rich sintered spinel (66% Al2O3 & 34% MgO) was prepared in the temperature range of 1600-1700 degrees C by reaction sintering of caustic magnesia and calcined alumina with and without TiO2 additive in N-2 atmosphere. Sintered products were characterised in terms of densification, phase assemblage, and microstructure. The role of TiO2 on spinelisation and densification was analysed using both dynamic and static heating regime. Although a static firing at 1700 degrees C with 2 h dwelling results in similar densification of spinel in presence and absence of titania, the specific role of titania was discerned only by critically analysing the dimensional change in dynamic heating regime. It was revealed that titania significantly increases only the densification rate of magnesia-alumina system with marginal effect on spinelisation. Better densification of titania-containing spinel, even at a relatively lower temperature, can be attributed to the incorporation of titania into the spinel structure and formation of magnesium aluminium titanate phase. (C) 2014 Elsevier Ltd and Techna Group S.r.l. All rights reserved