Beta decay of<sup>115m</sup>Cd

Rao, B.M.; Rao, C. Narasimha; Rao, P. Mallikarjuna; Matthews, Rajan; Reddy, K. Venkata

doi:10.1088/0305-4616/2/4/009

Cited by 8 publications

(11 citation statements)

References 21 publications

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“…The effects of various compounds on platelet activity can be examined by aggregometry, which permits evaluation of the effects on spontaneous and stimulated cell aggregation [10]. The effects of numerous platelet activators and inhibitors are realized by modulation of four main transmembrane signaling systems.…”

Section: Resultsmentioning

confidence: 99%

“…The Parkinsonian syndrome has Laboratory of Psychopharmacology, Institute of Pharmacology, Russian Academy of Medical Sciences, Moscow been modeled with the use of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP), a neurotoxin which damages dopaminergic neurons of the striatum thus inducing extrapyramidal disturbances [2,9]. Chronic administration of MPTP in low doses to monkeys impairs the learning of Conditioned responses, the effect being reversed by dopaminergic agonists [10].…”

Section: Abstract: Extrapyramidal Disorders; Parkinsonian Syndrome; mentioning

confidence: 99%

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Human platelets as the object of investigation of the molecular mechanisms underlying nongenomic effects of glucocorticoid hormones

1996

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The effect of hydrocortisone (100 nM-10 gM) on the major biochemical parameters of platelet activity (intracellular free calcium concentration, thromboxane B 2 content, and baseline and stimulated levels of cAMP and cGMP) is examined. The results obtained indicate that the inhibitory effect of glucocorticoids on platelet aggregation is mediated by activation of the adenylate cyclase system and suppression of the calcium response. Presumably, neither guanylate cyclase nor phospholipase A2-dependent systems are the targets of nongenomic actions of glucocorticoid hormones. Platelets can serve as a convenient tool for the investigation of nongenomic effects of glucocorticoid hormones. Key Words: hydrocortisone; calcium; cGMP; cAMP; thromboxane; inhibitors and activators of plateletsNongenomic effects contribute considerably to the physiological and pharmacological activity of steroid hormones. Molecular targets of steroid hormones are usually located in the cytoplasma membrane. The following trigger mechanisms of nongenomic effect of steroid hormones have been demonstrated: 1) stimulation of Na+/K+-ATPase in the kidney tubular epithelium [12,13]; 2) activation of rapid calcium entry by progesterone, testosterone, and lc~,25-dihydroxyvitamin D 3 [3-5,9,14]; 3) modification of the metabolism of second messengers in normal and transformed cells [6,7,11]; 4) modulation of the activity of neuronal Cl-channels coupled to GABA Areceptors [8]. The nongenomic effects of steroid hormones are characterized by latency, duration of their action (within 30 min), and tolerance to the blockers of RNA and protein syntheses. Steroids induce a membranotropic effect without penetrating the plasma Department of Pharmacology and Radiobiology, Russian State Medical University, Moscow membrane, which has been used to distinguish between genomic (mediated by intracellular receptors) and nongenomic effects. For example, the membrane stage in the action of steroid hormones can be identified with the use of these hormones immobilized on a high-molecular-weight carrier [1]. Anuclear ceils (erythrocytes and platelets) provide another approach to the investigation of the mechanisms underlying the membrane-mediated effects of steroids.The aim of the present study was to develop a theoretical and experimental basis for the evaluation of the nongenomic effect of the glucocorticoid hydrocortisone (cortisol) on platelet activity. MATERIALS AND METHODSThe procedures of platelet isolation, loading with the fluorescent probe Fura 2-AM, and calculation of the intracellular free calcium content were described elsewhere [2]. The content of cAMP, cGMP, and thromboxane B 2 was measured by the radioligand

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Section: Resultsmentioning

confidence: 99%

Section: Abstract: Extrapyramidal Disorders; Parkinsonian Syndrome; mentioning

confidence: 99%

Human platelets as the object of investigation of the molecular mechanisms underlying nongenomic effects of glucocorticoid hormones

1996

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“…In this paper, we are focusing on combining regression, ANN and multiGA to optimize multiple performances of EDM. Different from existing literatures which uses variable numerical experimentation [9] or random selection [10][11][12], we proposed orthogonal array as a technique to select the network parameters of ANN modeling in this study. Basically, the used of orthogonal array L256, is targeted to reduce the trial and error guesswork during the network parameters and network architecture selection.…”

Section: Introductionmentioning

confidence: 99%

Computational Approach for Multi Performances Optimization of EDM

2016

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Abstract. This paper proposes a new computational approach employed in obtaining optimal parameters of multi performances EDM. Regression and artificial neural network (ANN) are used as the modeling techniques meanwhile multi objective genetic algorithm (multiGA) is used as the optimization technique. Orthogonal array L256 is implemented in the procedure of network function and network architecture selection. Experimental studies are carried out to verify the machining performances suggested by this approach. The highest MRR value obtained from OrthoANN -MPR -MultiGA is 205.619 mg/min and the lowest Ra value is 0.0223μm.

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“…X-ray, and magnetic resonance imaging (MRI)) [35][36][37][38][39]. While sensitivity analyses on the inverse dynamics calculations have been extensively studied in gait, posture, and single joint movements [7,8,14,[18][19][20][40][41][42][43][44][45][46][47][48][49], there are no comprehensive statistical analyses performed on multijoint reaching movements. Studies concerning reach to grasp movements pose an additional challenge, as it has been observed that the shape of tbe hand tends to change within 120 ms after the onset of the movement when reaching for differently shaped objects [50].…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Methods for Estimating Arm Segment Parameters and Joint Torques From Inverse Dynamics

Piovesan

Pierobon

DiZio

et al. 2011

Journal of Biomechanical Engineering

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A common problem in the analyses of upper limb unfettered reaching movements is the estimation of joint torques using inverse dynamics. The inaccuracy in the estimation of joint torques can be caused by the inaccuracy in the acquisition of kinematic variables, body segment parameters (BSPs), and approximation in the biomechanical models. The effect of uncertainty in the estimation of body segment parameters can be especially important in the analysis of movements with high acceleration. A sensitivity analysis was performed to assess the relevance of different sources of inaccuracy in inverse dynamics analysis of a planar arm movement. Eight regression models and one water immersion method for the estimation of BSPs were used to quantify the influence of inertial models on the calculation of joint torques during numerical analysis of unfettered forward arm reaching movements. Thirteen subjects performed 72 forward planar reaches between two targets located on the horizontal plane and aligned with the median plane. Using a planar, double link model for the arm with a floating shoulder, we calculated the normalized joint torque peak and a normalized root mean square (rms) of torque at the shoulder and elbow joints. Statistical analyses quantified the influence of different BSP models on the kinetic variable variance for given uncertainty on the estimation of joint kinematics and biomechanical modeling errors. Our analysis revealed that the choice of BSP estimation method had a particular influence on the normalized rms of joint torques. Moreover, the normalization of kinetic variables to BSPs for a comparison among subjects showed that the interaction between the BSP estimation method and the subject specific somatotype and movement kinematics was a significant source of variance in the kinetic variables. The normalized joint torque peak and the normalized root mean square of joint torque represented valuable parameters to compare the effect of BSP estimation methods on the variance in the population of kinetic variables calculated across a group of subjects with different body types. We found that the variance of the arm segment parameter estimation had more influence on the calculated joint torques than the variance of the kinematics variables. This is due to the low moments of inertia of the upper limb, especially when compared with the leg. Therefore, the results of the inverse dynamics of arm movements are influenced by the choice of BSP estimation method to a greater extent than the results of gait analysis.

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Beta decay of^115mCd

Cited by 8 publications

References 21 publications

Human platelets as the object of investigation of the molecular mechanisms underlying nongenomic effects of glucocorticoid hormones

Human platelets as the object of investigation of the molecular mechanisms underlying nongenomic effects of glucocorticoid hormones

Computational Approach for Multi Performances Optimization of EDM

Comparative Analysis of Methods for Estimating Arm Segment Parameters and Joint Torques From Inverse Dynamics

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Beta decay of115mCd

Cited by 8 publications

References 21 publications

Human platelets as the object of investigation of the molecular mechanisms underlying nongenomic effects of glucocorticoid hormones

Human platelets as the object of investigation of the molecular mechanisms underlying nongenomic effects of glucocorticoid hormones

Computational Approach for Multi Performances Optimization of EDM

Comparative Analysis of Methods for Estimating Arm Segment Parameters and Joint Torques From Inverse Dynamics

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Beta decay of^115mCd