Objective The process of elution of unreacted monomers from dental resin composites can adversely affect their biocompatibility and longevity. One of the main factors, related to the elution process is the resin matrix composition. Nearly over the last decade, more successful work has been done on changing the polymer matrix of resin composites, dictated mainly by the idea of reducing the polymerization shrinkage. The silorane composite and the group of resin composites, with the presence of high molecular weight dimethacrylate monomers, were created. In this regard, it is of interest to monitor the influence of the matrix changes on the elution of unreacted monomers and the biodegradation of dental resin composites. Materials and methods: This study aimed to assess long-term monomer elution from silorane based (Filtek Silorane LS ) and high molecular weight (Kalore, Venus Diamond) resin composites stored in artificial saliva for 6 mounds. Analysis of monomer elution was performed using high-performance mass spectrometry in combination with ultra-high performance chromatography (HPLC-MS), effects of aging were visualized by Scanning Electron Microscopy (SEM). Results: Monomers detected in artificial saliva were: Urethane dimethacrylate (UDMA) from Kalore and Venus Diamond, 2-isopropyl thioxanthone(ITX) from Kalore, and Lauryl Methacrylate( LMA) from Venus Diamond. No eluted monomers were detected from Filtek Silorane LS. SEM analysis of the surfaces of the materials showed erosion, cracks, and roughing of all studied materials after 6 mounds of aging. Conclusions: Monomer elution is a long process. It starts at 24 hours and continues for some substances for up to 6 months. For some monomers, elution starts after a few days. Despite the lack of extracted products from silorane composite in artificial saliva, SEM shows surface degradation.

The plant Solanum nigrum Linn which belongs to Solanacea family, commonly called as black night shade in English, Mako in Urdu, Manattakkali in Tamil and Kalukammeriya in Sinhala. It is distributed throughout tropical and temperate regions of the world. It possess various compounds like flavonoids, alkaloids, saponins, tannins, glycosides, terpenoids, proteins, carbohydrates, acetic compounds, resin. It does not have sterols, steroids and anthraquinones which are responsible for its diverse activities. Numerous preclinical investigations identified a variety of potential health benefits, including Hepatoprotective activity, Nephroprotective activity, Anti-diabetic activity, Anti-inflammatory activity, Anti-cancer or Anti tumour activity, Anti-oxidant activity, Antimicrobial activity, Antihyperlipidemic activity. Further human studies needed to find the safety and efficacy of Mako.

Negative Bias Temperature Instability (NBTI) is an important reliability issue in CMOS devices which affects the performance of CMOS-based circuits. In this paper, the effects of NBTI have been analyzed on the 6T SRAM cell circuit designed using 16 nm FinFET technology. The performance affected by the NBTI reliability issues in terms of propagation delay and power consumption in both operations which is the read and write operations were studied. The 6T SRAM performance was investigated based on different defect mechanisms, stress times and operating temperature conditions. There is about 74 mV difference between the threshold voltage shift calculated using defects due to Nit and Nit combined with Not. The read delay was found to be unaffected by the stress time while the write delay improved marginally during the 10 years stress time. The write delay of the 6T SRAM cell simulated using the Nit improved 0.4% after 10 years operation as compared to when simulated using the Nit combine with Not. At 125°C, the power consumption after 10 years operation for read operation was higher than the write operation which is 4.09 µW and 0.443 respectively. The performance of the 6T SRAM cell was observed to be reliant on the type of defect mechanism, the static and dynamic simulation conditions as well as the operating temperature.

This paper is to show, describe and study then optimize the application of information technology in the process of production of steel pipes. An example representing a new private sector steel pipes manufacture in Algeria has been focused; an amazing progress has been shielded. The automation will help an organization to find out optimal and effective production process. It also helps to improve process, restructure process and make the entire process so robust that it can manage the conflict and according to plant or technical changes, it can trigger some subsequence process which will be effective to survive in such volatile environment.

The X-ray Diffraction and Fourier transform infrared (FTIR) spectroscopy analysis use to determine the structural and elastic properties of nickel-zinc doped lithium ferrite with chemical formula Ni1-xZnx-2yLiyFe2+yO4 where (0 ≤ x ≤ 0.5) and (y = 0, 0.01, 0.02, 0.03 and 0.04) which preparation by sol-gel method. Lattice constant (a), crystallite size and cation distribution calculated from XRD. FTIR measurement exhibit two absorption bands (1 and 2) around 400-800 cm-1 confirms the existence of tetrahedral and octahedral sites of ferrite. Force constant, elastic wave velocity, bulk modulus and young\'s modulus also reported. The force constant for A-site is larger than for B-site which vary between (KA=131.6 to 145.5 N/m) and (KB = 97.8 to 102.3 N/m) where can be found the values of elastic constant for nanoparticle is agreement with those of bulk material.

Abstract. If (X, τ ) is a topological space we denote by ¯τ the smallest Alexandroff\ntopology on X containing τ . In this paper we introduce the concepts of regular ideal\nand we characterize those topological spaces which are either, regular or normal, via\nregular ideals. Characterization of Alexandroff, P spaces, T1/2, T1/4, R0 and ωR0\nspaces are also given.\nKey words and phrases: Alexandroff spaces, P spaces, T1/2\n, T1/4\n, R0 and ωR0 spaces

Hemidesmus indicus belongs to the family Apocynaceae, which is used widely as an important medicinal plant. The extracts from the root are used as a coolant and a blood-purifier and is used in many forms. In the present study, emphasis was given on phytochemical screening of root extract and to select an elite species of the above plant with more number of phytochemicals. The plant material was collected from six geographical locations viz. Mahabubnagar, Warangal, Nalgonda, Nizamabad, Karimnagar and Adilabad, which are with different edaphic and climatic conditions of Telangana State, India are designated as site I to VI respectively. Fourteen phytochemicals were tested for their maximum and minimum presence and the extractions were prepared in aqueous, acetone, ethanol, petroleum ether and chloroform. The root extracts of plants collected from site-VI are showing maximum presence of phytochemicals than the other five sites. Production of some phytochemicals in one site and absence of the same in another site may be due to environmental induced production of certain phytochemicals or may be due to activation or suppression of certain genes producing the phytochemicals in particular environmental conditions. Hence, out of the plants collected from the above six sites, the plants of site-VI can be used to extract maximum number of phytochemicals.\\n The present study helps future researchers and the academicians to collect the plant which yield more number of phytochemicals and further it opens a new era of research to quantify and extract the pure compound from the above site plants.

This paper is an attempt to extend the empirical research on the capital structure theory to a post-transition economy and to determine if there are any factors that could be linked to the behaviour of the companies with respect to their selection of the sources of financing.\\nThe study is based on a sample of joint-stock companies, most frequently traded on the Belgrade Stock Exchange, and using their financial data for a period of 6 years, it applies a panel regression model. The regression results show that the leverage of the analyzed companies is positively related to their size and inversely related to the tangibility of their assets, profitability and the effective corporate tax rate. Surprisingly, no relation has been found between the amounts of fixed-asset investments made in the previous period and the use of debt.\\nThese results do not give sufficient support for any of the capital structure theories, but the closest match is some form of a modified pecking order.

One of the main objectives of an academic decision maker is to ensure that academic resources are adequately planned and that students are properly advised. To achieve such an objective, an extensive analysis of large volumes of data may be required. In this research, we develop a decision support system (DSS) that is based on an artificial neural network (ANN) model that can be deployed for effective academic planning and advising. The system is based on evaluating academic metrics against academic performance for students. The model integrates inputs from relevant academic data sources into an autonomous ANN. A simulation of real data on an ANN is conducted to validate the system’s accuracy. Moreover, an ANN is compared with different mathematical approaches. The system enables the quality assurance of planning, advising, and the monitoring of academic decisions.