This research included the study of different factors that may effect on gatifloxacin stability (anew quinolone synthetic antibacterial agent) in its aqueous solution in order to develop and optimize the best delivary of the drug to the eye (as eye drop) with maximum local concentration and minimum systemic absorption and toxicity.Different formulas of gatifloxacin solution for ophthalmic use (0.3%)w/v were prepared in citrate, acetate,citrate/phosphate and phosphate buffers,their tonicity adjusted with suitable quantity of sodium chloride.The effect of different factors that might affectthe stability of gatifloxacin in its prepared ophthalmic solution was studied and determined spectrophotometrically at 287 nm. The results showed that The use of disodium edetate as asequestering agent gave more stable formula and gatifloxacin undergoes hydrolysis at low pH with optimum stability at pH 6.0, which is the most suitable pH for this ophthalmic solution. The type of buffer significantlyaffects on the rate of hydrolysis of gatifloxacinspecially at low pH and optimum stability was obtained by using phosphate buffer. The concentration of phosphate buffer had a significant effect on the hydrolysis of gatifloxacin and the rate of hydrolysis increased as the concentration buffer increased. Ionic strength affects the hydrolysis rate of gatifloxacin and the hydrolysis increased as the ionic strength increased. Light had a significant effect on the rate of hydrolysis of the drug and the drug losses 10% of its potency after 10 monthes of light exposure at room temperature. The prepared formula J ( gatifloxacin 0.3% in 0.1M phosphate buffer with sodium chloride 0.26% , xanthan gum 0.2% and disodium edetate 0.01%) is thebest stable one and had no irritation on the eye of experimental animals, and it passes successfully quality control tests including: drug content, pH, clarity and sterility test and comply with united state pharmacopoeia for ophthalmic solutions.
The notion of a Tˉ-pure sub-act and so Tˉ-pure sub-act relative to sub-act are introduced. Some properties of these concepts have been studied.
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Dust is a frequent contributor to health risks and changes in the climate, one of the most dangerous issues facing people today. Desertification, drought, agricultural practices, and sand and dust storms from neighboring regions bring on this issue. Deep learning (DL) long short-term memory (LSTM) based regression was a proposed solution to increase the forecasting accuracy of dust and monitoring. The proposed system has two parts to detect and monitor the dust; at the first step, the LSTM and dense layers are used to build a system using to detect the dust, while at the second step, the proposed Wireless Sensor Networks (WSN) and Internet of Things (IoT) model is used as a forecasting and monitoring model. The experiment DL system
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In this paper we describe several different training algorithms for feed forward neural networks(FFNN). In all of these algorithms we use the gradient of the performance function, energy function, to determine how to adjust the weights such that the performance function is minimized, where the back propagation algorithm has been used to increase the speed of training. The above algorithms have a variety of different computation and thus different type of form of search direction and storage requirements, however non of the above algorithms has a global properties which suited to all problems.
Relation on a set is a simple mathematical model to which many real-life data can be connected. A binary relation on a set can always be represented by a digraph. Topology on a set can be generated by binary relations on the set . In this direction, the study will consider different classical categories of topological spaces whose topology is defined by the binary relations adjacency and reachability on the vertex set of a directed graph. This paper analyses some properties of these topologies and studies the properties of closure and interior of the vertex set of subgraphs of a digraph. Further, some applications of topology generated by digraphs in the study of biological systems are cited.
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