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The purpose of this paper is to survey literature on macroeconomic nonlinear dynamics.

The paper identifies five influential types of models where the possible generation of endogenous cycles and chaotic motion arises. First, the frameworks that make use of the one‐hump logistic type equation; second, the models inspired on the growth literature of the 1940s; third, intertemporal utility maximization problems with increasing returns; fourth, models that can be represented as piecewise dynamic maps; and, fifth, bounded rationality – heterogeneous expectations setups.

The attention will be mainly focused on the theme of business cycles; an interpretation of the deterministic real business cycle model with increasing returns is proposed and a graphical analysis of the underlying system shows that strange attractors are observable for specific sets of parameter values.

The study of endogenous cycles in macroeconomic literature has important implications for policy: if fluctuations are due to deterministic reasons this may imply that by manipulating policy parameters governments may be able to change the qualitative nature of the economy's dynamics.

The paper gives a comprehensive view of nonlinear dynamics in macroeconomics. It shows that various relevant subjects might be addressed in this kind of models, e.g. economic growth, asset pricing, business cycles, consumption decisions, among others.

Development of non‐destructive methodology for detection of arc strike, spatter and fusion type of welding defects which may form on steam generator (SG) tubes that are in close proximity to the circumferential shell welds. Such defects, especially fusion‐type defects, are detrimental to the structural integrity of the SG. This paper aims to focus on this problem.

This paper presents a new methodology for non‐destructive detection of arc strike, spatter and fusion type of welding defects. This methodology uses remote field eddy current (RFEC) ultrasonic non‐destructive techniques and K‐means clustering.

Distinctly different RFEC signals have been observed for the three types of defects and this information has been effectively utilized for automated identification of weld fusion which produces two back‐wall echoes in ultrasonic A‐scan signals. The methodology can readily distinguish fusion‐type defect from arc strike and spatter type of defects.

The methodology is unique as there is no standard guideline for non‐destructive evaluation of peripheral tubes after shell welding to detect arc strike, spatter and fusion type of welding defects.

The purpose of this paper is to study the peristaltic mechanism of Sutterby fluid in a symmetric channel with mass and heat transfer.

Mass and heat transfer are investigated in the assumption of Reynolds number and the long wavelength. The velocity, temperature and concentration terms for small values of Sutterby fluid parameter are achieved.

Graphical results have been introduced for various important parameters. The effects of emerging key parameters are also highlighted.

Sutterby fluid model is one that represents the high polymer aqueous solutions. It is now strongly believed that any diseased part of the body would be cured better when exposed to magnetic force when compared with a drug. Peristalsis with mass and heat transfer occurs in treatment to destroy the unwanted tissues, hemodialysis and oxygenation process, etc.

This paper aims to examine the convergence in per-capita income (measured as per-capita net state domestic product) of regions in India during the period 1990–1991 to 2017–2018. Two separate analyses have also been done for the sub-periods, i.e., 1990–1991 to 2003–2004 and 2004–2005 to 2017–2018, to find out the effect of the second phase of economic liberalization in India.

In a panel data study, the estimation of absolute and conditional beta (β)-convergence and sigma (σ)-convergence across 17 Indian regions have been done. To measure the dispersion of per-capita income across the regions in India, the standard deviation of logs, Gini coefficient, Mehran measure, Piesch measure, Kakwani measure and Theil index have been estimated. In addition to this, these indices have been regressed over time.

This study finds the presence of absolute and conditional β-convergence; the regions with low initial per-capita income have grown faster than the regions with high initial per-capita income. Further, this study finds that foreign direct investment (FDI) inflow and the availability of power enhance growth across regions. However, this study finds the presence of σ-divergence, which indicates that the economic inequality among the regions in India has widened over the periods, calling for policy interventions to promote growth in the backward regions through the promotion of FDI inflow and the availability of power.

This study highlights the rising economic inequality among the regions in India by analyzing the latest available data through appropriate econometric techniques.

The purpose of this paper is to investigate convergence hypothesis in a balanced panel of 22 Indian states for the time period of 1980-81 to 2010-11 by applying nonparametric model setting in a panel framework.

The present study uses nonparametric and semi-parametric panel data methods to test the absolute and conditional convergence, respectively, and examines the income convergence using nonparametric panel data methods with state specific effects taken into consideration. These models are being estimated by the iterative process for a balanced panel of state wise per capita income and other conditioning variables for the time period of 1980-81 to 2010-11. For removing the fixed effects, the authors follow within transformation procedure according to the feasibility of the problem. Since convergence is estimated by regressing dependent variable on initial level of independent variable (as growth rate of income and per capita income in this case). So using usual transformation for removing the fixed effects is not feasible because by doing so the authors may end up with singular matrices on both sides of the regression model.

The results reject the null of parametric specification for both absolute as well as conditional convergence model. As to the outcome of the empirical analysis, the findings reveal that the Indian states are diverging in absolute sense and converging on conditional basis. Convergence happens to be consistent and conditional upon public expenditure, power generation share of primary and tertiary sector to Gross State Domestic Product.

The originality of the study is in its application of advanced methodology to highlight the model misspecifications while testing the convergence hypothesis in earlier literature.

The following article was published in ‘Self‐Reliance’, the Journal of The Fertiliser (Planning & Development) India Ltd., CIFT Buildings, P.O. Sindri, Pin: 828 122, Bihar, India. The author recounts how they dealt with some serious corrosion problem in the naphtha vapouriser section of an ammonia plant.

The present study was carried out to standardize the method for preparation of naturally carbonated fermented paneer whey beverage by incorporating pineapple and strawberry fruit juice and to check their suitability in the beverage by evaluating the organoleptic characteristics and shelf life of product.

Beverage was inoculated with yeast culture Clavispora lucitaniae at 0.5 per cent v/v and fermented at 35 ± 1°C for 36 h aerobically. Standardization of total soluble solids (TSS) (16, 15, 14, 13 and 12oBrix) and juice concentration (15, 20, 25 and 30 per cent) of beverage was done on the basis of organoleptic evaluation, and the beverage with TSS 12oB and 30 per cent juice was selected best for further storage study. Two types of beverages were prepared: paneer whey beverage blended with pineapple juice and paneer whey beverage blended with strawberry juice, and were stored at refrigerated (4 ± 1oC) and ambient (25 ± 5oC) conditions. Effect of storage on physico-chemical, microbiological and sensory attributes were studied periodically after every 15 days for 90 days of storage period.

There was significant decrease in brix:acid ratio (p = 0.0008) from 12.0 to 9.3, total sugar (p = 0.017) from 10.8 to 6.8, ascorbic acid (p = 0.002) from 17.8 to 9.3 mg/100 mL and lactose (p = 0.037) from 3.1 to 0.6 per cent content over 90 days of ambient storage period. Total yeast count increased during the initial stages of fermentation and started declining after 60 days of storage. The alcohol production started after 15 days and reached 0.7 per cent after 90 days for paneer whey beverages blended with strawberry juice. The more variations were found in the physico-chemical and microbiological properties of the beverage at ambient storage than refrigeration storage. Highest score for color, flavor, mouthfeel and overall acceptability was found on third days, which decreased further during the storage. The comparative study of the paneer whey beverage blended with strawberry juice stored at ambient and refrigeration temperature showed that maximum decrease was found for score of appearance/color, flavor, mouthfeel and overall acceptability at ambient temperature as compared to refrigeration temperature. Beverage stored at refrigeration temperature was found more acceptable than the beverage which was stored at ambient temperature irrespective of all types of beverages.

The refrigerated beverage was found more acceptable up to 90 days, whereas beverage stored under ambient conditions was found acceptable up to 60 days. The products so obtained had naturally produced CO₂, and little alcohol content added effervescence, sparkle, tangy taste and flavoring characteristics.

Population aging in many countries has become a fundamental concern of public policy. One reason is fears that increasing numbers of elderly will place disproportionate burdens on their children in order to fund public pensions and health-related services. This analysis first discusses basic principles for assessing this question of intergenerational fairness. It then applies an empirically-based overlapping cohort dynamic microsimulation model for a quantitative analysis of the flows of taxes and cash and in-kind transfers for successive birth cohorts. The simulations cover both exogenous factors – specifically trends in life expectancy and the strength of the economy, and policy-related factors – specifically raising the age of entitlement to public pensions from age 65 to 70, and price versus relative wage indexing. The analysis concludes, among other points, that intergenerational differences are significantly smaller than intra-generational variations, and that the parents of the baby-boom generation are likely to benefit from the largest lifetime net transfers of any birth cohort from 1890 to 2010.

Khadi fabrics are known for their unique comfort properties which are attributed to their unique structural and functional properties. For getting optimal comfort from a collection of available Khadi fabrics, further exploration is needed. Ranking the Khadi fabrics from a competitive lot for optimal comfort is a challenging job, which has not been addressed so far by any researcher. The purpose of this study is to present one such selection problem using the multi-criteria decision-making (MCDM) technique, a popular branch of operations research, which can handle almost any decision problem involving a finite number of alternatives and multiple decision criteria.

Two widely popular methods/exponents of MCDM, namely, analytic hierarchy process (AHP) and multiplicative analytic hierarchy process (MAHP) have been deployed in this study for ranking a competitive lot of 15 Khadi fabrics and selecting the best alternative for optimal summer comfort based on three comfort attributes, namely, drape coefficient, thermal insulation value and air permeability.

Both the approaches yield a similar ranking pattern with Spearman’s rank correlation coefficient of 0.9857, Khadi fabric K1 achieving Rank 1 (best in terms of optimal comfort) and sample K6 acquiring Rank 15 (worst choice). Two-phase sensitivity analyses were performed subsequently to demonstrate the stability of the two approaches: sensitivity analysis by changing weightage levels of the criteria and sensitivity analysis in dynamic decision conditions by changing the elements of the initial decision matrix. During sensitivity analyses, no occurrence of rank reversal is observed for the best and worst alternatives in either of the two approaches. This corroborates the robustness of the two models.

Khadi fabrics are widely acclaimed for their intrinsic comfort properties for both summer and winter. Although the popularity of Khadi fabrics is increasing day by day, this domain is under-researched, and hence, needs to be explored further. The present approach demonstrates how the MCDM technique can serve as a useful tool for ranking the available Khadi fabrics in terms of optimal comfort in summer. The same approach can be extended to other domains of the textile industry, in general, as well.

This study is the first-ever theoretical approach/research on the selection of Khadi fabrics for optimal summer comfort using the MCDM tool. Another novelty of the present study is that the efficacy of AHP and MAHP approaches, in this study, has been validated through a two-phase sensitivity analysis. This validation part has been ignored in most of the hitherto published applications of AHP and MAHP in other domains.