Antitumour and Immunomodulatory Effects of Cu(II) Complexes of Thiobenzyhdrazide

Thiiobenzyhdrazide (Htbh) and its Cu(II) complexes, [ Cu ( Htbh ) 2 Cl 2 ] and [ Cu ( tbh ) 2 ] were synthesized and characterized by various physicochemical studies. In vivo and in vitro antitumour activity of Htbh, [ Cu ( Htbh ) 2 Cl 2 ] and [ Cu ( tbh ) 2 ] has been tested. LD 50 values were calculated for all the three compounds. It was observed that the antitumour effect of [ Cu ( Htbh ) 2 Cl 2 ] is maximum. Light microscopic study of the treated tumour mass demonstrated that certain cellular degradation, such as disappearance of mitotic figures, loss in cellular compactness, distortion of nucleus and disruption of cytoplasmic boundaries, takes place in the tumour region of complex treated mice. Further, tumour bearing mice administered with Cu(II) complexes showed reversal of tumour growth associated induction of apoptosis in lymphocytes

Moth Search Optimization for Optimal DERs Integration in Conjunction to OLTC Tap Operations in Distribution Systems

In this paper, a newly developed moth search optimization (MSO) technique is introduced to solve the complex distributed energy resources (DER) integration problems of distribution systems. In order to overcome some of the limitations observed in the standard variant of MSO, minor corrections are also suggested. On the other hand, a new optimization problem is formulated for optimal deployment of dispatchable distributed generations and shunt capacitors while simultaneously optimizing the tap positions of on-load tap-changing transformers, already deployed in grid substations. The objective of this work is to minimize the cost of annual energy loss and node voltage deviations over multiple load levels. The proposed model is implemented and solved for two benchmark test distribution networks of 33 and 118 buses. The suggested corrections are also validated by comparing the performance of the proposed approach with standard MSO and other available optimization methods. The simulation results show that the developed model optimally utilizes the existing distribution system resources and generates higher deployment benefits at lesser DER penetration as compared to the planning model which ignores these resources

Antitumor Effect of Some 3d-Metal Complexes of N-Isonicotinoyl-N'-o-Hydroxythiobenzhydrazide

A new ligand, N-isonicotinoyl-N'-o-hydroxythiobenzhydrazide (H2Iotbh), forms complexes [Co(Iotbh)(H2O)2], [M(Iotbh)] [M Ni(II) Cu(II) and Zn(ll)] and [M(Iotbh-H)(H2O)2] [M Mn(III), Fe(III)], which were characterized by various physico-chemical techniques. DMSO solution of metal complexes was observed to inhibit the growth of tumor in vitro, whereas the ligand did not. In vivo administration of these complexes resulted in prolongation of survival of tumor-bearing mice. Tumor-bearing mice administered with the solution of metal complexes showed reversal of tumor growth associated induction of apoptosis in lymphocytes. The paper discusses the possible mechanisms and therapeutic implications of the H2lotbh and its metal complexes in tumor regression and tumor growth associated immunosuppression

Effect of Gamma Irradiation on African Marigold (Tagetes erecta L.) Cv. Pusa Narangi Gainda

Seeds of African marigold cv. 'Pusa Narangi Gainda' were irradiated with 0, 100, 200, 300 and 400 Grays of gamma rays to induce mutation. Seeds were sown just after irradiation and 30-day old seedlings were transplanted into beds. Reduction in survival percentage, plant height, number of branches, leaf number, leaf size, plant-spread, stem diameter, increased foliage and floral abnormalities were observed upon irradiation and with increase in dose of gamma rays. LD50 was determined on survival basis. Leaf abnormality manifested itself as leathery texture of leaf, enhanced and irregular leaf thickness, asymmetric development of pinnate leaflets, reduction in pinnae number, chlorophyll variegation, pale and deep green leaves, narrow leaves and small leaves. Percentage of abnormal leaves and plants increased with increase in dose of gamma rays. Fasciation of stem was a common abnormality observed in all the treatments. Days to bud initiation, earliness in colour-appearance and days to full bloom were all significantly delayed upon exposure to gamma rays. Flower-head size, height and weight were highest at the lowest dose. Number of ray florets and size (length and width) decreased with increasing radiation dose. Floral abnormalities and % of plants with abnormal flower-heads increased with increasing dose of gamma irradiation. Floral abnormality included fasciation of flower-head and asymmetric development of ray florets. Stimulating effect of gamma irradiation was observed at 100 Grays where almost all the characters studied showed positive correlation, including growth and yield attributes. It is concluded that exposure to 100 Grays of gamma rays in African marigold cv. Pusa Narangi Gainda results in higher yield and marketable bloom

Modified African Buffalo Optimization for Strategic Integration of Battery Energy Storage in Distribution Networks

This article presents a two-layer optimization scheme for simultaneous optimal allocation of wind turbines (WTs) and battery energy storage systems (BESSs) in power distribution networks. The prime objective of this formulation is to maximize the renewable hosting capacity of the system. For outer-layer, a new objective function is developed by combining multiple objectives such as annual energy loss in feeders, back-feed power, BESSs conversion losses, node voltage deviation, and demand fluctuations caused by renewables subject to various system security and reliability constraints. Furthermore, a modified variant of African buffalo optimization (ABO) introduced to overcome some of the limitations observed in its standard variant. The proposed modifications are first validated and then introduced for simultaneous optimal integration of multiple distributed energy resources in distribution systems. The proposed modified ABO is employed to determine the optimization variables of outer-layer. Whereas, a heuristic is proposed to solve the inner-layer optimization problem aiming to determine the optimal dispatch of BESSs suggested by outer-layer optimization. By considering the high investment and operating cost of BESSs, minimum energy storage capacity has been ensured during the planning stage. To present the efficacy of developed model, it is implemented on a 33-bus, benchmark test distribution system for various test cases. The comparative simulation results show that the proposed optimization model and modified ABO is very promising to improve the performance of active distribution systems

Multi-criteria decision making monarch butterfly optimization for optimal distributed energy resources mix in distribution networks

The optimal integration of distributed energy resources (DERs) is a multiobjective and complex combinatorial optimization problem that conventional optimization methods cannot solve efficiently. This paper reviews the existing DER integration models, optimization and multi-criteria decision-making approaches. Further to that, a recently developed monarch butterfly optimization method is introduced to solve the problem of DER mix in distribution systems. A new multiobjective DER integration problem is formulated to find the optimal sites, sizes and mix (dispatchable and non-dispatchable) for DERs considering multiple key performance objectives. Besides, a hybrid method that combines the monarch butterfly optimization and the technique for order of preference by similarity to ideal solution (TOPSIS) is proposed to solve the formulated large-scale multi-criteria decision-making problem. Whilst the meta-heuristic optimization method generates non-dominated solutions (creating Pareto-front), the TOPSIS approach selects that with the most promising outcome from a large number of alternatives. The effectiveness of this approach is verified by solving single and multiobjective dispatchable DER integration problems over the benchmark 33-bus distribution system and the performance is compared with the existing optimization methods. The proposed model of DER mix and the optimization technique significantly improve the system performance in terms of average annual energy loss reduction by 78.36%, mean node voltage deviation improvement by 9.59% and average branches loadability limits enhancement by 50%, and minimized the power fluctuation induced by 48.39% renewable penetration. The proposed optimization techniques outperform the existing methods with promising exploration and exploitation abilities to solve engineering optimization problems

Techno-Economic Feasibility Analysis of Grid-Connected Microgrid Design by Using a Modified Multi-Strategy Fusion Artificial Bee Colony Algorithm

The present work investigates the techno-economic solution that can address the problem of rural electrification. To maintain a continuous power supply to this village area, a grid-connected microgrid system was designed that consists of solar photovoltaic (SPV) and battery energy storage systems (BESS). The recently introduced multi-strategy fusion artificial bee colony (MFABC) algorithm was hybridized with the simulated annealing approach and is referred to as the MFABC+ algorithm. This was employed to determine the optimal sizing of different components comprising the integrated system as well as to maximize the techno-economic objectives. For validation, the simulation results obtained by the MFABC+ algorithm are compared with the results obtained using HOMER software, the particle swarm optimization algorithms and the original MFABC algorithm. It was revealed that the MFABC+ algorithm has a better convergence rate and the potential ability to provide compromising results in comparison to these existing optimization tools. It was also discovered through the comprehensive evaluation that the proposed system has the potential capability to meet the electricity demand of the village for 24 × 7 at the lowest levelized cost of electricity

Hybrid Elephant Herding and Particle Swarm Optimizations for Optimal DG Integration in Distribution Networks

In this article, the amalgamation of two well-established meta-heuristic optimization methods is presented to solve the multi-objective distributed generation (DG) allocation problem of distribution systems. To overcome some of the shortcomings of newly developed elephant herding optimization (EHO), an improvement is suggested and then, a prominent feature of particle swarm optimization is introduced to the modified version of EHO. The suggested modifications are validated by solving a single objective DG integration problem where various performance parameters of the proposed hybrid method are compared with their individual standard variants. After validation, the proposed technique is exploited to solve a multi-objective DG allocation problem of distribution systems, aiming to minimize power loss and node voltage deviation while simultaneously maximizing the voltage stability index of three benchmark distribution systems namely, 33-bus, 69-bus and 118-bus. The obtained simulation results are further compared with that of the same available in the existing literature. This comparison reveals that the proposed hybrid approach is promising to solve the multi-objective DG integration problem of distribution systems as compared to many existing methods