Impact of organizational trust on job performance : a study of land and survey department / Kuldip Singh

This study examines the influence of organizational trust on job performance by analyzing perceptions of 100 public employees in the Land and Survey Department. The instrument used to measure organizational trust was adopted from Institute for Public Relations (2003). Job performance was measured using an instrument developed by Borman and Motowidlo (1997). Results of the instrument’s Cronbach Alpha measurement show that the score of reliability is above .90 which indicates an acceptable level. The results indicate that organizational trust is positively correlated with job performance. These results imply that job performance may be dependent on organizational trust in the public sector. This study provides insights on the relationship between organizational trust and job performance in the public sector. The findings of this study may help public sector to enhance its organizational trust and its effect on job performance. Limitations and recommendations are also discussed

An age hardening study of magnesium-thorium-manganese alloys

The age hardening processes in Mg-3.5 wt.% Th-1.0 wt.% Mn and Mg-1.0 wt.% Th-1.0 wt.% Mn alloys have been studied by light and electron microscopy, and by electron and X-ray diffraction. At aging temperatures of 300ºC and below, G.P. zone formation rapidly hardens these alloys followed by the precipitation of disc shaped plates during averaging. During aging above 300ºC, no G.P. zones form and the disc shaped precipitate grows to very large sizes. The combined results of X-ray and electron diffraction indicate that the disc shaped precipitate has a Mg₃Cd (DO₁₉) type structure. The basal plane of the Mg₃Th discs lie parallel to the matrix basal plane which is also the habit plane of this precipitate. Basal slip and {101̄2} twinning, the principal deformation modes, shear the G.P. zones but not the Mg₃Th discs --Abstract, page iii

Impact of antiepileptic drugs therapy on thyroid profile in epileptic patients of Punjab origin

Background: Epilepsy requires lifelong therapy with antiepileptic drugs (AEDs) and having medical and psychological consequence. So, the present study was conducted to evaluate the role of different AEDs on thyroid profile in epileptic patients.Methods: 50 epileptic patients receiving AEDs for minimum 1 year were recruited as study group and 50 healthy subjects considered as control group. These subjects were recruited from general (rural or urban) community of Punjab. Fasting blood samples were drawn from patients and healthy subjects for the evaluation of triiodothyronine (T3), thyroxine (T4) and thyroid stimulating hormone (TSH) levels.Results: Significant increase in TSH levels were recorded in epileptic patients while no significant change was found in T3 and T4 epileptic patients treated with different AEDs with respect to healthy controls. Maximum increase in TSH was seen in phenytoin, treated epileptic patients and maximum fall in TSH was recorded in levetiracetam treated epileptic patients. Maximum increase in T3 and T4 levels was found in phenytoin while a maximum decrease was recorded T3 and T4 levels in carbamazepine treated epileptic patients in comparison to other drugs treated patients.Conclusions: Aforementioned observations suggested that epileptic patients treated with phenytoin, valproic acid, carbamazepine and levetiracetam for long time could cause initiation of subclinical hypothyroidism further could leads to overt hypothyroidism which in turn responsible for pathophysiology of various coronary heart disease. Routine screening of thyroid profile during chronic use of AEDs is recommended

The interactions between the sterically demanding trimesitylphosphine oxide and trimesityphosphine with scandium and selected lanthanide ions

The reactions between lanthanide nitrates, Ln(NO3)3 and scandium and lanthanide trifluoromethane sulfonates, Ln(Tf)3 with trimesitylphosphine oxide, Mes3PO show that coordination to the metal ions does not lead to crystalline complexes. Investigation of the reactions by 31-P NMR spectroscopy shows that weak complexes are formed in solution. The crystal structures of Mes3PO·0.5CH3CN (1) and [Mes3PO]3H3O·2CH3CN·Tf (2), formed in the reaction between ScTf3 and Mes3PO, are reported. Trimesitylphosphine, Mes3P, is protonated by scandium and lanthanide trifluoromethane sulfonates and lanthanide nitrates in CD3CN and the structure of [Mes3PH]Cl·HCl·2H2O (3) is reported

Structural Changes in Indian Economy: An Empirical Analysis using Input-Output Structural Decomposition Analysis

The present study is an attempt to decompose the changes in output growth in India since 1983-84 For analysis purpose study has bifurcated the whole period into two parts i e pre 1983-84 to 1993-94 and post 1993-94 to 2006-07 reforms period Input-Output tables for the year 1983-84 1993-94 and 2006-07 have been utilized for this purpose Due to non-availability of recent Input-Output table the analysis of the recent years 2007-08 to 2012-13 has been done using the data from different Economic Surveys provided by the Ministry of Finance Government of India The study utilized structural decomposition analysis to categorize the different sources of output growth While comparing the two study periods results show that for the primary sector 1 to 11 there is rise in private consumption and government consumption expenditure However percentage share of exports and investment expenditure in primary sector have declined over two periods In secondary sector 12 to 44 there is a sharp increase in percentage share of all demand categories For tertiary sector 45 to 58 the increase has been shown in investment expenditure imports and exports only Further it is the average growth of final demand which holds the largest share in change of output growth over the study period Among the five categories of final demand domestic demand sum of private consumption government consumption and investment expenditure is the dominant source of output growth in both the periods It shows that Indian economy has a very strong domestic marke

Predictive Modeling for Power Consumption in Machining Using Artificial Intelligence Techniques

AbstractThe objective of this work is to highlight the modeling capabilities of artificial intelligence techniques for predicting the power requirements in machining process. The present scenario demands such types of models so that the acceptability of power prediction models can be raised and can be applied in sustainable process planning. This paper presents two artificial intelligence modeling techniques - artificial neural network and support vector regression - used for predicting the power consumed in machining process. In order to investigate the capability of these techniques for predicting the value of power, a real machining experiment is performed. Experiments are designed using Taguchi method so that effect of all the parameters could be studied with minimum possible number of experiments. A L16 (43) 4-level 3-factor Taguchi design is used to elaborate the plan of experiments. The power predicted by both techniques are compared and evaluated against each other and it has been found that ANN slightly performs better as compare to SVR. To check the goodness of models, some representative hypothesis tests t-test to test the means, f-test and Leven's test to test variance are conducted. Results indicate that the models proposed in the research are suitable for predicting the power

Predictive Modelling and Optimization of Machining Parameters to Minimize Surface Roughness using Artificial Neural Network Coupled with Genetic Algorithm

AbstractThis paper develops a predictive and optimization model by coupling the two artificial intelligence approaches – artificial neural network and genetic algorithm – as an alternative to conventional approaches in predicting the optimal value of machining parameters leading to minimum surface roughness. A real machining experiment has been referred in this study to check the capability of the proposed model for prediction and optimization of surface roughness. The results predicted by the proposed model indicate good agreement between the predicted values and experimental values. The analysis of this study proves that the proposed approach is capable of determining the optimum machining parameters