Rapid and non-destructive approach for characterization and differentiation of sealing wax using ATR-FTIR spectroscopy

Sealing wax is used for maintaining the integrity and authenticity of a document or physical evidence. Any tampering with the seal calls into question the overall integrity and authenticity of the tangible evidence or document. In these circumstances, determining the authenticity of the sealing material (physical and chemical) becomes imperative. In this study, ATR-FTIR spectroscopy supported by chemometrics has been used to differentiate sealing wax samples belonging to 12 different brands available across India. All the samples were first melted, cooled, and then analyzed using ATR-FTIR spectroscopy in the mid-infrared region (4000–600 cm⁻¹). The obtained spectra were first examined visually for the presence of different functional groups. Principal component analysis (PCA) and principal component analysis-linear discriminant analysis (PCA-LDA) were employed to analyze the sample clustering patterns and to categorize them into their respective groups, respectively. For classification, a PCA-LDA training model was applied, and it demonstrated 95.83% accuracy. The validation test resulted in an accuracy of 83.33%. PCA-LDA model offered 100% accurate prediction for samples on various substrates, including cloth, cardboard, and paper. A blind study was also performed using five unknown samples, which were accurately classified into their respective groups. PCA-LDA model will be helpful in providing investigative leads by linking a questioned sealing wax sample with its respective group.     

Analyzing the progress and prospects of financial inclusion in India

Taking data from Financial Access Survey, Global Findex and Reserve Bank of India bulletin, this paper tries to analyze the progress occurred and the future prospect of financial inclusion in India. Our analysis depicts that India has witnessed a quick progress in financial inclusion. Though there is long way to go to achieve the dream of universal financial inclusion, there is no doubt that tremendous progress has been achieved in the recent time. Specifically, after the implementation Pradhan Mantri Jan Dhan Yojana in August 2014, much improvement has happened in opening of bank deposit accounts. Similarly, the post‐dimerization period has seen a rapid growth of digital finance in India. Despite high growth of digital transaction, digital payment among the women, rural people, elderly people, and less educated people is much less than other groups of people. The provision of good digital infrastructure to the remote area, opening of more financial literacy centers and extension of credit to the marginalized people can help to fulfill the true essence of financial inclusion in India.     

Impact of labour attributes and probability of employability in Indian labour market: A sectoral analysis

The structural transition of an economy helps the nations to move from primary to secondary and then to tertiary sector for the total output and employment generation. However, the absence of this systematic structural transition could lead the nation into long‐term imbalances for employment and output. This is happening with India as its economy has directly moved from primary to tertiary sector for both output and employment generation. The present study helps to identify the main reasons about why India is still stagnating with its sluggish primary sector for employment generation. This will also show the existing pattern of occupational choices for the people of different labour attributes. The study usages the fourth and fifth survey of employment and unemployment conducted by the Labour Bureau in 2012–13 and 2014–15 over 1,087,968 individuals of India. The study applies both multinomial logit model and binary logit model for analysing the employment probabilities of the individuals for working in the primary, secondary, and tertiary sectors. The study finds that location and education are the most important factor affecting the employment choices of the individuals, whereas caste and gender are also important but with moderate impact. The location is found crucial factor for primary and secondary sector occupation, whereas secondary sector is neutral in this regard. The service sector is found to have the highest incidences of caste discrimination and favouritism in the labour market. The education has the highest impact on the service sector jobs.     

Fixing Transient Iodine on Developed Latent Fingermarks

In the present study, a simple and novel fume–mist technique is described which can be used efficiently to fix the latent fingermarks developed using iodine. It is well known that the residues left over in the fingermarks interact with iodine to give transient brown impressions which disappear in a short time. Also, iodine forms colored complexes with various organic solvents. Based on iodine–fingermark interaction and iodine–solvent complex formation, latent fingermarks were developed on paper surface using iodine fumes which were subsequently fixed by spraying polar and nonpolar solvents. The fingermarks developed with this technique were not only clear but also permanent in nature. The interaction of fingermark residue, iodine, and solvent forming a ternary structure is believed to be a possible reason for the stability of iodine‐developed fingermarks. Ease of method, availability of chemicals, and minimum training make the method adaptable in routine development of forensic fingermarks present on paper surface.