A Mild and Green Route for Regio-selective Amination of Oxiranes Using Nanomagnetic Supported Ferrous Ion as a Solid Lewis Acid Catalyst in Water

A mild, green and highly efficient route for regio-selective amination of oxiranes was developed via incorporation of Mn(II), Fe(II), Co(II), Ni(II), Cu(II) and Zn(II) cations onto the surface of hydroxyapatite-encapsulated γ-Fe2O3 nanoparticles (γ-Fe2O3@HAp). Among six magnetically recoverable catalytic systems denoted as [γ-Fe2O3@HAp-MII], the catalyst in which M designated as Fe(II) showed the best efficiency as well as regio-selectivity in amination of oxiranes under an ambient reaction condition. A wide variety of aromatic and aliphatic amines were reacted with epoxides using magnetically separable iron catalyst to give the corresponding amino alcohols in excellent yields and selectivities in water as solvent at room temperature. In addition, recovery of the catalyst was successfully carried out in subsequent runs without any decrease in activity even after 5 runs. High regio-selectivity toward terminal ring-opening, efficient catalyst reusability using simple magnetic separation, high yields, simplicity in operation and diversity for various substrates are of advantages of this study

How physical and non-physical working environment affects creativity: An empirical study

Creativity is one of the most important factors to increase the productivity of any organization. There are literally different factors influencing creativity such as physical and non-physical components of a system. There are different studies to confirm that both physical and non-physical issues could impact the efficiency, significantly. The study of this paper considers eleven physical and ten non-physical activities in working environment of six organizations with various business activities of educational, manufacturing and service business. The study summarizes the most and the least important physical and non-physical factors based on some statistical tests

Convergent and efficient synthesis of 1,2,4-triazolo[5,1-b]quinazolin-8-ones using copper incorporated hydroxyapatite encapsulated Kit-6 as a recoverable nanocatalyst

856-865Copper incorporated hydroxyapatite encapsulated Kit-6 (Cu@HAp@KIT-6) has been used as an effective nanocatalyst in the synthesis of 1,2,4-triazolo[5,1-b]quinazolin-8-one derivatives by a one-pot reaction of 3-amino-1,2,4-triazole, dimedone and aromatic aldehydes in ethanol. This novel protocol affords the products under optimized reaction conditions with high to excellent yields (88-97%) and lower reaction times (40-50 min). Wide substrate scope, facile work-up procedure, reduced reaction time, the use of green solvent and recyclability of the catalyst are some prominent advantages of this protocol. The catalytic activity of the catalyst after six consecutive runs has been preserved without an appreciable decrease in its activity

Compact printed antenna with novel radiating element for UWB applications

International audienc

An Integrated Model to Develop Semi-Quantitative Scenarios Using a hybrid Method Based on Fuzzy Cognitive Map: A Case Study of Iranian Oil Production

In today's competitive dynamic world/markets, providing a desirable framework for exploring future perspectives is a crucial challenge to support robust decision making and proper policy making. This research proposes a novel framework that develops plausible future energy scenarios through the Fuzzy Cognitive Map (FCM) technique. As a new method in scenario planning, FCM model attempts to present a set of rational, reliable and credible plausible scenarios together with analyzing dynamic behaviors of parameters. The integrated FCM-based approach encompasses STEEP analysis to identify parameters, Cross Impact Analysis (CIA) to determine key drivers, Morphological analysis for scenario selection, and FCM model to develop semi-quantitative scenarios. This new approach for scenario development brings together the benefits of both quantitative and qualitative analysis and it is not limited to the investigation of few pre-defined scenario drivers. As a research case, the proposed methodology is examined to detect plausible trends for Iran's oil production in the post sanction era. The implemented FCM simulations indicate that in three scenarios oil production increases and growth will be significant in the first two scenarios. The fourth projection is the most pessimistic scenario that can be imagined in the post-sanction era where the country faces massive investment backlogs