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Time poverty is the time deficit caused by having little to no time for recreational activities owing to significant labour of both paid and unpaid works. Such a time deficit is related to adverse health outcomes and accounts for early withdrawal from the workforce. Research to date does not examine differences in time deficits in India. This study takes advantage of India’s first Time-Use Survey collected in 2019 (TUS 2019). It uses total work time (committed time and contracted time) to measure the differences in the time poverty rate for women. In the first step, we identify the overall time poverty rate, which shows that 1 out of every 10 working Indians is extremely time-poor, rearranging between paid and unpaid duties for more than 12 h daily. In the second step, we explore women's work–life conflict and the burden of unpaid labour. While rural women are suffering from a severe labour dilemma, urban women can be observed to make time for themselves. In the third step, the multivariate logistic regression technique is used to understand the impact of critical variables such as educational attainment, marital status, and employment status on time poverty. The data confirm that marriage substantially impacts time poverty since married women have less time than unmarried women.

Economic growth is consistently a concern for any country. GDP growth and per capita income is a vital indicator on economic growth. These pointers portray the increase or decrease in productivity and income of the economy. Humans are an important part of productivity, but human welfare, equity, and social justice are not recorded. Economic advancement cannot be measured through GDP contribution, as it overlooks the disparity of income, poverty, unemployment, and other issues in the economy. The concept of the human development index proposed by Mahbub-ul-Haq and later refined by UNDP provides the correct parameter for evaluating economic development. This paper endeavours to comprehend the pattern of HDI among Indian and its adjoining nations and to check the contribution of each parameter in calculating the HDI of any country. The impact of the literacy rate on the HDI rate is also studied in the paper.

We have studied the problem of homogenous, isotropic non-local couple stress micropolar thermoelastic solid in the absence of body forces, couple density and heat resources. The reflection and transmission of waves at the interface of two distinct media have been investigated. It is observed that amplitude ratios of various reflected and transmitted waves are functions of wave number of incident waves and are affected by the non-local parameter of thermoelastic solid.

The faculties are the architects of the future of a country as they shape human beings. So, it becomes very necessary that the faculties must be satisfied with their job, only then they can give their full performance. But unfortunately, it has been found that some of the faculties are facing the problem of job burnout. The aim of this study is classified into two parts. Firstly, the study determines the correlation of job satisfaction and factors of job burnout among faculties of business school in Delhi. After that, determine the association of factors of job burnout and organisational factors has been determined. Fifty faculties of business school in Delhi participated in the survey. The study concludes that faculties have a high degree of job satisfaction and a low degree of job burnout. The study also confirmed the association of job satisfaction, internal factors of organisation and job burnout.

Background: Backorders are an accepted abnormality affecting accumulation alternation and logistics, sales, chump service, and manufacturing, which generally leads to low sales and low chump satisfaction. A predictive archetypal can analyze which articles are best acceptable to acquaintance backorders giving the alignment advice and time to adjust, thereby demography accomplishes to aerate their profit. Objective: To address the issue of predicting backorders, this paper has proposed an un-supervised approach to backorder prediction using Deep Autoencoder. Methods: In this paper, artificial intelligence paradigms are researched in order to introduce a predictive model for the present unbalanced data issues, where the number of products going on backorder is rare. Results: Un-supervised anomaly detection using deep auto encoders has shown better Area under the Receiver Operating Characteristic and precision-recall curves than supervised classification techniques employed with resampling techniques for imbalanced data problems. Conclusion: We demonstrated that Un-supervised anomaly detection methods specifically deep auto- encoders can be used to learn a good representation of the data. The method can be used as a predictive model for inventory management and help to reduce the bullwhip effect, raise customer satisfaction as well as improve operational management in the organization. This technology is expected to create the sentient supply chain of the future - able to feel, perceive and react to situations at an extraordinarily granular level.

This paper is intended to examine the level of motivation of the employees/executives in the organisation and extract the particulars or statistics of the motivation due to fear of failure (FoF) and the various factors that result into FoF and the various ways to overcome it so that it can be used by the personnel department and its team to motivate the executives. The study is based on primary data, which was obtained from the employees working in the organisation by administering the questionnaire while using the discussion and interview method. The main finding of this paper was that the employees were found motivated due to fear of failure when the consequence of failure was realised and brought to their notice by the supervisors and as a result, found motivated to perform the assigned task.

This research aims to create an artificial neural network (ANN) regression model for predicting the performance parameters of the perforated micro-pin fin (MPF) heat sinks for various geometric parameters and inflow conditions. A three-dimensional computational fluid dynamics (CFD) simulation system is developed to generate dataset samples under different operational conditions, which are specified using Latin hypercube sampling (LHS). An ANN model is first obtained by optimizing the model hyper-parameters, which are then deployed to learn from the input feature space that consists of perforation diameter, perforation location, and inflow velocity. For accurate training of the ANN, the model is trained over a range of uniformly distributed data points in the input feature space. The developed multi-layer model predicted Nusselt number and friction factor with the mean absolute percentage error of 4.45% and 1.80%, respectively. Subsequently, the developed surrogate model is used in the optimization study to demonstrate the application of the surrogate model. A multi-objective non-dominated sorting genetic algorithm (NSGA-II) is used to perform the optimization of the perforation location, diameter, and inflow conditions. Negative of the Nusselt number and friction factor are chosen as objectives to minimize. A Pareto front is obtained from the optimization study that shows a set of optimal solutions. Thermal performance of the perforated MPF is increased between 11.5% and 39.77%. The optimizer selected a significantly smaller hole diameter at a higher location and a faster speed to maximize the Nusselt number and minimize the friction factor.

Fractional derivative and delay are important tools in modeling memory properties in the natural system. This work deals with the stability analysis of a fractional order delay differential equation D α x (t) = δ x (t − τ) − ϵ x (t − τ) 3 − p x (t) 2 + q x (t). We provide linearization of this system in a neighborhood of equilibrium points and propose linearized stability conditions. To discuss the stability of equilibrium points, we propose various conditions on the parameters δ , ϵ , p , q and τ. Even though there are five parameters involved in the system, we are able to provide the stable region sketch in the q δ − plane for any positive ϵ and p. This provides the complete analysis of stability of the system. Further, we investigate chaos in the proposed model. This system exhibits chaos for a wide range of delay parameter. • Delay differential equation with cubic nonlinearity with fractional order is discussed. • Stability analysis is provided by using the linearization near equilibrium points. • Stable region is sketched in the parameter plane q – δ. • Stability results are valid for any positive parameters p and ϵ. • Chaos is observed for a wide range of parameters. [ABSTRACT FROM AUTHOR]

PURPOSE:To evaluate the safety and efficacy of corneal collagen cross-linking (CXL) in the treatment of keratoconus in pediatric patients.METHODS:Epithelium-off CXL using the standard protocol was performed in 15 eyes from 15 patients (age range: 10 to 15 years) with moderate keratoconus in 1 eye and advanced disease in the fellow eye. Principal outcomes included uncorrected and corrected distance visual acuity (CDVA), refraction, and topography-derived outcomes of maximum and average keratometry (K).RESULTS:Mean uncorrected distance visual acuity improved significantly from 1.00±0.30 (20/200) to 0.72±0.29 (20/100) logMAR (Mean uncorrected distance visual acuity improved significantly from 1.00±0.30 (20/200) to 0.72±0.29 (20/100) logMAR (P=.035) and mean CDVA from 0.56±0.21 (20/70) to 0.30±0.15 (20/40) logMAR (P=.003) at the end of 12 months. Mean change in apical K (1.01±2.40 diopters) was also significant (P=.004). No significant complications were noted.CONCLUSIONS:Corneal collagen CXL was found to be safe and effective in the first 12 months for keratoconus in children with similar initial efficacy as in adults in terms of improvement in visual and topographic outcomes.

Financial inclusion has become the buzzword and has caught the attention of research scholars, policy makers and economists. While finance has always been recognized to be the life blood of any economic unit, financial inclusion, as a ‘quasi-public good’ is seen to be the harbinger that would facilitate fuller participation by vulnerable groups such as weaker sections and low income groups in the financial system. This paper aims to study the determinants that measure the extent of financial inclusion and focuses on the computation of an index that would comprehensively capture the impact of multi-dimensional variables with specific reference to India, using the latest available data. Past studies have omitted one or the other dimensions impacting financial inclusion, for various reasons. However, since each of the dimensions is critical, incorporating as many dimensions as possible will result in a more holistic of financial inclusion. The Reserve Bank of India (RBI) has initiated several measures to enhance the financial inclusion in India. The impetus came from schemes like relaxed KYC norms, rsquo;no-frills’ accounts and “General Credit Cards” for small deposits and credit since 2005-06.

Several letters to the editor are presented in response to articles in previous issues including "Mimicking nature" and "Putting faith back in science" in the July 16-31, 2015 issue and "Deadly Air: Face it" in the August 1-15, 2015 issue.