The tridentate [HL, (4-[(2-(2-quinolinoimino)-3, 5-dibromobenzyl) amino] cyclohexanol)] Schiff base ligand was prepared from the condensation reaction of 2-quinoline carbaldehyde with the drug ambroxol. The prepared HL ligand was further used in the preparation of some new complexes via the reaction with La (III), Er (III) and Yb (III) metal ions. The geometry of the prepared complexes was proposed from elemental analysis, FT-IR, 1H NMR, thermal and magnetic susceptibility. 1H NMR showed that the three nitrogen atoms of the ligand were responsible for the complex formation. The thermal analysis technique provided a clear prospect about the decomposition steps of the Schiff base ligand and its complexes; as it also showed the number of water molecules present in the inner and outer coordination sphere of the prepared complexes. Upon these studies, an octahedral geometry for all of the complexes has been proposed. The Schiff base and its complexes have been screened for their antimicrobial activity. The biological activity results deduced that Er (III) complex possesses the highest activity.

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Copper is a catalyst that promotes the formation of corrosive sulphur but it is also corroded by the latter. Corrosive sulfur in oil has been identified as the cause of recent failures in power transformers and shunt reactors. The most common reason of such failures is arcing between adjacent disks or conductors of windings due to the formation of copper sulphide deposition on cellulosic insulating paper. Synergetic effects with temperature, time and oxygen are recognized to play a role in the formation of corrosive sulphur. Which of these factors has the most impact on copper sulphide deposition? To address this concern, a quantitative laboratory technique has been developed. It is shown that by using a series of laboratory experiments in accordance with ASTM D 1275 B, it is possible to investigate this problem and to map the influence of these parameters by manipulating some variables such as oxygen, temperature and time on the copper samples. The obtained results show that temperature is the most influential parameter in the formation of corrosive sulphur. The process is accelerated when both temperature and time act conjointly.

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The convection-dominated problems, mainly due to their essentiality in nature, are found in numerous science and engineering applications. Such problems include those concerning the computational fluid dynamics issues of spurious oscillations in the numerical solutions. In this research, the importance of the relationship between the numerical solution stability and the unsteady scalar convection-dominated flow parameters is emphasized. A systematic technique in setting the parameters under consideration is applied. Specifically, we present the a priori formulation of criterion to avoid non-physicaloscillatory solutions. The criterion serves as a standard for a more efficient decision-making in the determination of the flow parameters, and in eliminating some heuristic aspects of the scalar concentration prediction. The test case results are consistent with the criterion.

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A thermoelectric generator has drawn significant attention for heat recovery from an engine exhaust, which contributes for enhancing the fuel economy of the engine. A heat exchanger is an important element of the heat recovery system such as a thermoelectric generator. The thermoelectric generator performance is affected by the heat exchanger. So, it is needed to improve the average surface temperature, temperature uniformity, and back pressure of the heat exchanger. In this study, different types of internal structures were used and compared under different operating conditions. Taguchi method was used to find the design of the experiment. Several experiments have been conducted based on orthogonal arrays L25 with two parameters and five levels. Analysis of variance was implemented for finding the significant and parameter contribution. Finally, the optimum operating condition of the surface temperature, temperature uniformity, and back pressure have been obtained. The predicted and actual values of all the parameters are in good agreement. The optimum combination of the engine load and heat exchanger has been obtained by using Grey relational analysis.

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The abrasive blasting and the other surface preparation techniques are the significant sources of shipyard waste and air pollution. The one of any kind techniques to reduce the hazardous air contaminant associated with the abrasive media is blasting room. The abrasive blasting operation is isolated by the blasting room to reduce the exposure to the shipyard environment. The portable blasting room design has been developed using the modular wall panel system. The research is focused on the investigation of structural response of floor panel unit of the portable modular blast room using finite element method. The research method has two main steps during the investigation of the floor panel unit of portable blast room. At first, the geometric form of the floor panel unit was developed and defined to obtain the finite element model. Secondly, the load and boundary condition was defined, considering the cradle load which is carry the blasted object to the blast room. The displacement method was adopted for the numerical analysis. The results indicate that the structure of floor panel unit on the portable modular blast room is safe and reliable for abrasive blasting isolation room.

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Current trends to an increase in the use, production, storage and transportation of petroleum products lead to an increase in the number of accident-related spills of oil products. It, in turn, leads to an increase in the volume of pollutants entering the environment. Toxic components of oil are transformed into even more toxic compounds, which are concentrated and adsorbed in various soil horizons, and are involved in natural feed circuit when it release into the soil. Basic soil processes such as mineralization and respiratory activity are slowed down in soil contaminated with hydrocarbon. In addition, the processes of nitrogen fixation and nitrification are suppressed, the ability of the soil to self-purification and self-restoration is reduced, its biological value is reduced, and the flora and fauna of the damaged area are depleted as a result of soil contamination with oil products. In this regard, the study, development and testing of technologies for the elimination of the consequences of accident-related spills of oil products is an important task of environmental safety in the modern conditions of the development of the oil industry. The purpose of this work was to create an effective ameliorant for the cleaning of oil-contaminated soils. In the first stage of scientific research it was theoretically established that the application of peat-based ameliorants to the soil with the addition of organic fertilizers (manure or “Karbamid”) is optimal because it causes a significant decrease in soil phytotoxicity and enhances the process of destruction of petroleum hydrocarbons. Experimental studies and approbation of the proposed method of oil products spill response were carried out in the second stage of scientific research. It which allowed to afford experimentally proof of the effectiveness of the ameliorant using, which is proposed and theoretically justified in the first stage of research. This scientific work is supported by the Scholarship of the President of the Russian Federation SP-3455.2019.3.

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Death rate among women can be considerably brought down with regard to breast cancer if an early detection is viable. The prediction or detection of breast cancer in early stages is a complicated research problem. Using data mining techniques, it is not a difficult task to make it practical. The modern researches show that in most situations these techniques work better than common diagnostic methods. The basic aim of this work is to construct a data demonstrative model which can be used to: predict breast cancer survival even in the presence of missing values in the dataset that can reveal favorable information about the essential factors that determines the chances of survival, and also partition the patients with respect to their common peculiarities. Moreover, to find out a suitable filter-classifier combination. The Principal Component Analysis (PCA) and Decision Tree (J48) are chosen as filters. Further classification process is carried out on filtered dataset using the algorithms Logistic Model Tree (LMT), Random forest and Hoeffding Tree. Decision Tree (J48), were applied to choose the most efficient one. While implementing the classifiers, the dataset for which the feature selection is carried out using PCA gives better classification accuracies. The data mining tool WEKA provides a better platform for required experimental studies. A suitable filter - classifier pair is purposed for breast cancer prognosis by analyzing the results.

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This article presents a study for the calculation of reactivity using the matrix formulation method for reducing fluctuations in the density of the neutron population present in a nuclear reactor. A first-order low-pass delay filter was used, assuming random noise with Gaussian distribution around the mean value of the neutron population density. Studies were made of the different values that the density of neutrons could have, considering an exponential form, a specific time step to carry out experiments with different filtration constants. The results show how it is possible to reduce fluctuations, obtaining a very low average error, using the low- pass filter with the matrix formulation method.

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The process of loading high-frequency energy into the resonator accelerating sections of a linear electron accelerator occurs with a significant time constant since the accelerating sections have a high Q factor. At the beginning of a high-frequency accelerating pulse, an accelerating electron beam lacks energy and a significant average energy bundle scatter occurs at the output of the accelerator. If one delays the electron injection pulse relative to the high-frequency accelerating pulse, then the spectrum of the electron beam can be improved and the average energy bundle scatter at the accelerator output can be reduced. Such experiments are already used for ion accelerators. This article investigates the aforementioned technique for improving the spectral properties of a beam in a two-section linear electron accelerator with a standing wave. For this, a high-frequency power system with adjustment of the high-frequency energy level in the accelerating sections is used, which can completely decouple the high-frequency generator from high Q load. Such a system can significantly improve the output properties of an electron beam. The accelerator under consideration consists of two high-Q accelerating sections based on a biperiodic decelerating structure, which are powered from a magnetron via a 3-dB bridge. The article presents the results of analytical and experimental studies.

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One of the challenging tasks in this era is the early detection of cancer. The early detection helps to cure the disease completely. Random Projection (RP) is extensively used to reduce the high dimensional features to low dimensional features by projecting data onto a lower space while conserving most of the variation available in the data. J48 can handle both continuous and categorical features and is able to reduce misclassification errors. In this paper we have suggested a method for cancer prediction with the help of different data mining algorithms. The aim is to find out the best filter-classifier combination for the diagnosis. The competency of the algorithms can enhance the insight in to the problem and can thereby minimize the difficulty level in diagnosis.

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This study aims at investigating the nonlinear behavior of adequate reinforced concrete frames with semi-rigid connections under high lateral load and comparing them to the moment resisting systems. These two systems were compared based on their energy dissipation capacity, inter-storey drift ratio, force distribution, ductility, failure mechanism, and self-centering capacity. Also, this study aims at evaluating important parameters for the Reinforced concrete building with semi rigid connections such as over-strength factor, ductility, and response modification factor and compare them with that of moment resisting system. A complete three-dimensional finite element model for the RC connections is developed using ANSYS finite element software to determine the moment rotation curve for the connections based on their size, concrete strength and reinforcement details. SAP2000finite element analysis model is performed to investigate the impact of semi rigid connections on the nonlinear behavior of RC buildings. The seismic force and displacement demand on the proposed system are determined using nonlinear time history analysis. Moreover, the maximum displacement that the building can withstand is determined using pushover analysis. The study concluded that considering RC beam-column joint as a rigid connection, will significantly overestimate the stiffness of RC buildings and will give erroneous structural responses under earthquake loading.

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Abstract:

An Ad-Hoc network with five nodes is implemented using SBC (Single Board Computer) to measure its quality of service (QoS) parameters, comparing the efficiency of the BABEL and BATMAN (Better Approach To Mobile Ad-hoc Networking) protocols in real applications, some scenarios are initially proposed, the five nodes will be in rest, then they will be separated at a distance greater than two meters, finally one will be in motion. Parameters such IPTD, IPLR, IPDV and IPER will be identified to be compared and the document finalized.

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There is no supernatural material in the universe, but there is a material can be having more than one characteristic that makes it unconventional and this which was discovered in this study. Based on the poly(vinyl chloride) heat stability measurements which obtained by dehydrochlorination test, it has been shown that Oxydtron is not only a material used to improve the properties of concrete; but also a material that has shown a significant indications in the stabilization process of plasticized poly (vinyl chloride). Where the rate of degradation of poly (vinyl chloride) was effectively decreased after adding Oxydtron, which means the Oxydtron act as an effective stabilizer for plasticized poly (vinyl chloride).

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In some linear programming problems, there are some situations are often difficult to solve, one such situation is the non convergence of the problem, given that it has a finite or infinite optimal solution. Here we present a procedure for solving degenerate linear programming problem, based on the philosophy of constraints activities, by constructing a new rule for identifying an active pivot degenerate constraint, to perform the simplex iteration, preventing any cycling problem to be occur, in obtaining an optimal solution. A theorem has been presented with its proof, to show the convergence of the proposed approach after a finite number of simplex iterations. Good results had been obtained in terms of number of simplex iterations, compared with the other procedures, in solving such problems, by implementing several tested examples.

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This paper presents a study on the effect of fibre content on the strength and ductility of hybrid fibre reinforced concrete beams having different fibre volume fractions was investigated. The hybridization of different types of fibres may play important roles in arresting cracks at various levels. Hybrid fibre reinforced concrete beams incorporated with 30% polyolefin and 70% basalt fibres with a total fibre volume fraction Vf ranged from 0.0 to 2.0% with 0.5 % interval. The study parameters of this investigation includes service load, yield and ultimate load, service load deflection, yield and ultimate load deflection, ductility, crack width and failure modes. The strength, deformation and ductility performance of hybrid fibre reinforced concrete beams was compared with that of reference beam. The test results indicate that addition of 1.5% by volume of hybrid fibres enhance their overall performances.

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Identification of person voice from their characteristics is said to be speaker recognition; it is generally utilize in telecommunication, voice biometrics, criminal investigations and various industrial applications. To pursue, Mel-Frequency Cepstral Coefficient (MFCC) and Linear Prediction-filter Coefficients (LPC) are utilizes to extract features from voice signal as preliminary process. Subsequently, these features employ to Artificial Neural Network (ANN) to recognize speaker. This research includes configuring conventional ANN structure holding single hidden layer associate with ten neurons. To conserve time and process complexity optimization techniques incorporates to identify appropriate configuration for performance enhancement. An optimization technique includes Evolutionary Algorithm (EA), Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Monarch Butterfly Optimization (MBO). The comparative techniques are K Nearest Neighbour (KNN), Random Forest (RF), Radial Basis Neural Network (RBNN), Back-Propagation Neural Network (BPNN) and Generalized Regression Neural Network (GRNN). The result reveals the performance of MBO in configuring ANN accomplishes 99% accuracy in real time database and 99.8% in benchmark database which is superior results over contest techniques.

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This research studied the application of Spent Coffee Ground Bio char (SCGB) for the removal of Methylene Blue (MB) from aqueous solution. The experiments were designed in two methods: classical and optimization by a combination of Respond Surface Methodology (RSM) and Central Composite Design (CCD). Batch adsorption studies were carried out to investigate the influence of adsorption parameters, namely, adsorbent dosage, initial concentration and contact time on the response of MB removal (%) and adsorption capacity (mg/g). The interaction effects of the variables to the responses were studied using the three dimensional (3D) surface graph. The optimum conditions for MB removal (%) are an adsorbent dosage of 0.2 g, a contact time of 27.59 min, and an initial concentration of 10.08 mg/L. The optimum conditions for adsorption capacity were found at adsorbent dosage of 0.1 g, contact time of 30 minutes and initial concentration of 30 mg/L. The determination coefficient (R2) of respond surface quadratic model has proven significant at a confident level of 92% and 99% for MB removal and MB adsorption capacity, respectively. So, it was concluded that the SCGB can be used as a low-cost adsorbent for MB removal from aqueous solution.

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In this paper, He’s variational iteration method is used to give approximate analytical solutions of coupled differential equations arising in conjoint normal-tumer cells. In this method, the Lagrange multipliers are derived to construct correction functional for the variational problems and thus, the solutions of the problems are obtained. Numerical results demonstrated the efficiency, accuracy and applicability of the methods. A good agreement with available limiting case results is noticed. This work aims to contribute to a deeper understanding of drug resistance effects on cancer progression through the analysis of a new mathematical model and the analytical expression with the computational simulation for a coupled tumor-normal cell framework.

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