From U and C V Anand

Anand, Usha; Anand, C.V.

doi:10.1016/0307-4412(96)88971-0

Cited by 8 publications

(12 citation statements)

References 2 publications

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“…Figure shows the productivity response curve before and after calcination for various experimental parameters. Each experimental parameter has a significant effect on nanoparticle productivity . Experimental parameters I ap and C o have the highest influence on productivity at level 3 (Table ).…”

Section: Resultsmentioning

confidence: 99%

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Synthesis and characterization of copper succinate and copper oxide nanoparticles by electrochemical treatment: Optimization by Taguchi robust analysis

Das

Srivastava

2016

Can J Chem Eng

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Cylindrical rod‐shaped copper succinate nanoparticles were prepared using the electrochemical method. Taguchi robust design was applied to optimize experimental parameters such as succinic ion concentration (Co), current applied (Iap), and pH (pH). The obtained copper succinate nano‐rods were further thermally treated at different temperatures to produce copper oxide (CuO) nano‐disks. At optimum conditions of Iap = 0.5 A, pH = 7, and Co = 0.25, the maximum productivity of copper nanoparticles before and after calcination at 500 °C was 1.53 g and 1.06 g, respectively. Products were characterized by Fourier transform infrared spectroscopy (FTIR), X‐ray diffraction (XRD), scanning electron microscopy (SEM), and UV‐visible spectrophotometry to determine their various physicochemical characteristics.

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Section: Resultsmentioning

confidence: 99%

“…Each experimental parameter has a significant effect on nanoparticle productivity. [39,40] Experimental parameters I ap and C o have the highest influence on productivity at level 3 ( Table 3). pH and calcination temperature have the highest influence at level 1 and level 2, respectively.…”

Section: Effect Of Process Parameters On the Production Of Cuo Nanopamentioning

confidence: 98%

Synthesis and characterization of copper succinate and copper oxide nanoparticles by electrochemical treatment: Optimization by Taguchi robust analysis

Das

Srivastava

2016

Can J Chem Eng

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“…In that way, other possible influences on the stock return series which could distort the results are excluded. Environment R package eventstudies (Anand et al 2017) was used…”

Section: Data Descriptionmentioning

confidence: 99%

“…In that way, other possible influences on the stock return series which could distort the results are excluded. Environment R package eventstudies (Anand et al 2017) was used for the estimation and calculation part. Equation (9) was estimated by using the least squares method with Newey-West (1987) consistent standard errors for the pre event window.…”

Section: Data Descriptionmentioning

confidence: 99%

Effects of Football Match Results of Croatian National Team on Stock Returns: Evidence from Zagreb Stock Exchange

Škrinjarić

Barišić

2019

Zagreb International Review of Economics and Business

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This paper observes short term effects of football match results by focusing on the Croatian national team and stock returns on the Zagreb Stock Exchange. Existing literature identifies psychological factors affecting investor’s sentiment around sporting events on different stock markets. There does not exist any study focusing on the Croatian stock market. Thus, this paper extensively observes such effects for the first time in the literature. Event study methodology, a usual approach of investigating such effects, is used on a sample of 60 stocks on the Zagreb Stock Exchange for the period from 2014 until the end of 2018. The results indicate no significant effects of winning or losing a football match, even when controlling for game being friendly, competitive tournament or qualification one; as well as after controlling for investor’s expectations based upon betting odds. This means that no profitable trading strategies could be obtained around the football match day on the Zagreb Stock Exchange in the observed period for the stocks investigated in this paper.

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“…It is already well known that the fumarate that is released from argininosuccinate is converted into malate and then to oxaloacetate by making use of the TCA cycle enzymes, fumarase and malate dehydrogenase, respectively. This oxaloacetate then undergoes transamination with glutamate to regenerate aspartate, which is then re-used by the urea cycle [1]. Lehninger [2] has, in fact, combined the two cycles and describes this as a bicycle to highlight the fact that they are interlinked.…”

Section: Using Tca Cycle Enzymesmentioning

confidence: 99%