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Aspect-based sentiment analysis (ASA) is a task of sentiment analysis that requires predicting aspect sentiment polarity for a given sentence. Many traditional techniques use graph-based mechanisms, which reduce prediction accuracy and introduce large amounts of noise. The other problem with graph-based mechanisms is that for some context words, the feelings change depending on the aspect, and therefore it is impossible to draw conclusions on their own. ASA is challenging because a given sentence can reveal complicated feelings about multiple aspects.

This research proposed an optimized attention-based DL model known as optimized aspect and self-attention aware long short-term memory for target-based semantic analysis (OAS-LSTM-TSA). The proposed model goes through three phases: preprocessing, aspect extraction and classification. Aspect extraction is done using a double-layered convolutional neural network (DL-CNN). The optimized aspect and self-attention embedded LSTM (OAS-LSTM) is used to classify aspect sentiment into three classes: positive, neutral and negative.

To detect and classify sentiment polarity of the aspect using the optimized aspect and self-attention embedded LSTM (OAS-LSTM) model. The results of the proposed method revealed that it achieves a high accuracy of 95.3 per cent for the restaurant dataset and 96.7 per cent for the laptop dataset.

The novelty of the research work is the addition of two effective attention layers in the network model, loss function reduction and accuracy enhancement, using a recent efficient optimization algorithm. The loss function in OAS-LSTM is minimized using the adaptive pelican optimization algorithm, thus increasing the accuracy rate. The performance of the proposed method is validated on four real-time datasets, Rest14, Lap14, Rest15 and Rest16, for various performance metrics.

This is Part 1 of the two special issues on the topic, “School to work transition around the world – the effect of the pandemic recession.” The first part focuses on the determinants of the school-to-work transition (STWT) and the implications of the COVID-19 pandemic on the young worker and their response to uncertain labor market conditions. The second issue will explore the country-specific experiences around the globe in tackling the problem of a smooth STWT. The purpose of this introductory article is to elaborate on the transition of young workers in the labor market. Discussion on the status of various indicators of the youth labor market (unemployment, underemployment and not in employment, education and training [NEET]) is also integrated. The determining factors of school-to-work transition (STWT) and the role of technical and vocational institutions and universities are analyzed. Moreover, the impact of COVID-19 on the labor market is also evaluated. After the pandemic, there was a dreadful change in the job market; this study dives into those diverse factors and carves out the multiple impacts on youth unemployment.

The study analyses relevant literature on STWT, NEET and COVID-19 implications for the labor market, based on the other papers in this special issue. Using the review method, the authors identified similar research articles and reports which helped in strengthening the study’s argument. The primary focus of the study was on the smooth transition of young workers in the labor market and the impact of the pandemic on youth unemployment. Hence, literature supported the authors in giving the justifications from various economies and societies.

The paper finds that youth worldwide have suffered from the repercussions of COVID-19, especially in their early career (STWT). Skill mismatch, underemployment, job losses, salary cut downs, health issues, vocational education importance, vulnerable employment, etc. were some of the significant impacts the authors identified by analyzing the various reports and papers. Furthermore, this paper also discusses the role of active labor market policies and hiring incentives for promoting youth employment.

The paper finds that the times ahead are challenging ones. There is a dearth of productive job opportunities due to slow economic growth. The unemployment rate among youth and adults is high, and labor markets have become more competitive. The young generation is now left with no choice but to upgrade and improve their skill set or some other expertise. On the one hand, technical and vocational education and training (TVET) and universities need to enhance their marketable knowledge and skills, and on the other hand, there is a need for active labor market policies to encourage their participation in the labor markets.

This paper strongly contributes to highlighting the professional and societal hit backs faced due to the aftermath of COVID-19. The study summarizes the specific details of STWT and employment issues faced by youth in various parts of the world.

The purpose of this paper is to test the existing theoretical argument that the Indian software industry is a case of uneven and combined development by examining the workforce.

The paper is based on a survey conducted in two software organizations located in Bangalore. Data were collected through a combination of quantitative (114 questionnaires) and qualitative methods (62 semi‐structured interviews). Respondents were selected randomly from the work floor.

The paper observes that the workforce is uneven in nature and directly integrated with the global market. The workforce appears homogeneous. A typical software worker in India is a young male; hails from an urban and a semi‐urban locality; follows Hinduism, and belongs to the upper socio‐economic stratum of Indian society. He holds an undergraduate engineering degree, not necessarily in computer science, from a second‐grade educational institution. He is trained by the employers as per the needs of the Western market, and works for longer hours than required. He earns more than his counterparts in the other industries, and is promoted periodically based on work experience.

The paper suggests that Indian future policy initiatives should recognize the need for inclusion of the disadvantaged in this growing sector. Also, conclusions drawn from the study are useful for the developing countries that imitate Indian software industry to develop inclusive development policies.

From the existing literature, it is not known whether the employment‐related benefits are reaching all the social groups, or uneven and combined development is reflected at the workforce as well. The paper fills the gap using triangulation of methods.

The Government of India’s National Policy of Education 2020 stipulates that in the following five years all stand-alone teacher education colleges will be required to convert to multidisciplinary higher education institutions. This calls for a complete overhaul of the country’s vast, diverse, and age-old system of teacher preparation. Evidence-based policy implementation is thus the need of the hour. This chapter attempts to aid the process by presenting insights from a comparative education research on pre-service teacher education (PSTE) of secondary school teachers at stand-alone teacher education institutions (TEIs) in the Indian city of Mumbai and university-based teacher education in the Chinese city of Hong Kong. Documentary sources, field visits, and 57 interviews form the basis of the findings. The dimensions for comparison include academic freedom and autonomy; pathways to PSTE; linkages of teacher education providers; and role and working conditions of teacher educators. The chapter deduces the core differences in teacher education at stand-alone TEIs vis-à-vis that at a university and draws out implications of shutting down the former. It concludes by laying down a road map for the effective universitization of teacher education in India that will result in genuinely improving teacher quality.

Globalization has led to individuals working and living outside their native country. The purpose of this paper is to examine relationship between motives for expatriation and cross-cultural adjustment in Indian expatriates working in the US information technology (IT) industry. Additionally, the moderating effects of self-initiated expatriates (SIE) and organizational expatriates (OE) on the relationship between motives for expatriation and cross-cultural adjustment were studied. Also, existing measures in this area of research were analyzed to improve validity and utility for future studies. Participants responded to questions via an internet survey.

Data were gathered from 336 Indian IT professionals working in America. The authors evaluated the psychometric quality of reasons for expatriation and cross-cultural adjustment measures by considering various fit statistics, modification indices and rational judgment based on item content. The authors used a maximum likelihood extraction method with an oblique rotation (Geomin) for these factor analyses, given the theoretically and empirically supported relationship between the subdimensions of both measures. Using these purified measures, a hierarchical regression analyses procedure was used to test the hypothesized relationships. A computational tool called PROCESS was used to test the hypothesized moderating effect of expatriate type on the relationship between motives for expatriation and cross-cultural adjustment.

Preliminary factor analytic work suggested modifications to the reasons for expatriation measure used to quantify participants’ motives for expatriation. Using this revised measure, those with stronger financial (mercenary) motives for expatriation also reported less positive cultural adjustment, while those with stronger exploratory motives for expatriation reported more positive cultural adjustment. Some evidence was also observed for a weak, but notable moderating effect of expatriate type (SIE vs OE) on the relationship between expatriation motives and cultural adjustment.

This study presents a revised measure of expatriation motives, as well as expanded theoretical and empirical evidence base to help future researchers working with expatriates. The findings may be also helpful to organizations and consultants who work to prepare expatriates for their assignments, especially when these expatriates are Indian professionals preparing to work in the USA.

The utilisation of renewable energy sources for generating electricity and potable water is one of the most sustainable approaches in the current scenario. Therefore, the current research aims to design and develop a novel co-generation system to address the electricity and potable water needs of rural areas.

The cogeneration system mainly consists of a solar parabolic dish concentrator (SPDC) system with a concentrated photo-voltaic module at the receiver for electricity generation. It is further integrated with a low-temperature thermal desalination (LTTD) system for generating potable water. Also, a novel corn cob filtration system is introduced for the pre-treatment to reduce the salt content in seawater before circulating it into the receiver of the SPDC system. The designed novel co-generation system has been numerically and experimentally tested to analyse the performance at Karaikal, U.T. of Puducherry, India.

Because of the pre-treatment with a corn cob, the scale formation in the pipes of the SPDC system is significantly reduced, which enhances the efficiency of the system. It is observed that the conductivity, pH and TDS of seawater are reduced significantly after the pre-treatment by the corncob filtration system. Also, the integrated system is capable of generating 6–8 litres of potable water per day.

The integration of the corncob filtration system reduced the scaling formation compared to the general circulation of water in the hoses. Also, the integrated SPDC and LTTD systems are comparatively economical to generate higher yields of clean water than solar stills.

In the process of school-to-work transition, the role of general education and vocational education and training (VET) remains quite central. Based on the human capital theory, we estimate whether investment in VET brings additional returns for workers across the age cohorts.

The focus of our study being the labour market in India, the data from the Periodic Labour Force Survey 2018–19, conducted by the National Statistical Office, has been used for analysis. We have applied the ordinary least square method with sample selection correction, the quasi-experimental technique of propensity score matching and heteroskedasticity based instrumental variable approach to estimate the returns with respect to no VET, formal VET and informal VET.

Our study shows that workers with formal VET earn higher wages than workers with no VET or informal VET. The study finds that workers with informal VET do not earn higher wages than workers with no VET. Moreover, from the age cohort analysis, we have deduced that wage advantage of workers with formal VET persists across all age cohorts and, in fact, accentuates with an increase in age.

We have estimated that VET being complemented with basic general education fetches higher returns in the labour market, especially when provided through formal channels. Moreover, to the best of our knowledge, in the case of developing countries where informal VET is widely provided, this is one of the first studies that captures the return to informal VET. Lastly, complementing the existing studies on the developed countries, we have estimated the returns to VET over the life cycle of the workers.

The focus and goal of this chapter is to systematically detail how the “cascade” system is organized and how it operates by coordinating current research. To do so, this chapter first builds an understanding of the historical conditions that forged the “cascade” system, then turns to how the system operates – charting its affordances and limitations through others’ research – and then discusses what opportunities can be leveraged to support teachers’ work. In doing so, this chapter provides relevant information and documentation about the “cascade” system so that readers can understand how this system currently works and what is possible. Two interpretations are made from the analysis of current research. First, the “cascade” is overwrought with voices, and the participants overwhelmed; and second, the “cascade” fosters an untenable view of how people learn and what constitutes teaching. Increasingly, teachers and their education are being widely recognized as central to the fortunes of schoolchildren. In India, a significant amount of attention is being paid to teacher education more than ever before. For example, the recent 5-year planning and operations budget is being touted as the “Teacher Education Plan.” Thus, probing the existing system and its norms and practices is vital to ensuring this attention isn’t frittered away and is put toward helping teachers step up to the challenge of providing all students rich opportunities to learn.

The purpose of this paper is to study the corrosion inhibition performance of an eco-friendly drug clozapine on the corrosion of copper in 1.0 M nitric acid and 0.5 M sulfuric acid solutions.

The corrosion inhibition nature of inhibitor molecule was evaluated by weight loss, electrochemical impedance spectroscopy and potentiodynamic polarization studies. An attempt was made to correlate the molecular properties of neutral and protonated forms of inhibitor molecule using quantum chemical calculations. The effect of temperature on the corrosion inhibition efficiency was also studied using electrochemical impedance spectroscopy. The potential of zero charge was determined to explain the mechanism of corrosion inhibition.

The studies on corrosion inhibition performance of clozapine showed that it has good corrosion inhibition efficiency on the corrosion of copper in 1.0 M nitric acid and 0.5 M sulfuric acid solutions. The adsorption of clozapine molecules onto the copper surface obeyed the Langmuir adsorption isotherm. The value of free energy of adsorption calculated is very close to −40 kJmol⁻¹, indicating that the adsorption is through electrostatic coulombic attraction and chemisorption. The decrease in the value of energy of activation with the addition of inhibitor also shows the chemisorption of the inhibitor on the metal surface. The potential of zero charge and quantum chemical studies confirmed that the protonated molecules also get involved in the corrosion inhibition process through physisorption.

The present work indicates that clozapine can act as a good corrosion inhibitor for the corrosion of copper in acid media.

Gated communities, residential enclaves that offer upscale housing and a variety of recreational and communal facilities within a walled area with controlled entrances, are proliferating in many of India's large metropolitan cities. In this paper, we analyze the images of place and identity that are evoked in online advertisements for gated communities in the city of Bangalore in southern India. Since the 1990s, Bangalore has become known as India's premier information technology (IT) hub and a magnet for multinational corporations and high-skill personnel. The latter include Non-Resident Indians (NRIs) who lived and worked abroad for several years and have returned to partake of new opportunities offered in the country. We explore the intersection of notions of identity, home and community in a globalised world through an examination of the graphic and textual images encoded in the advertisements of thirteen prominent developers in Bangalore whose upscale gated developments cater to NRIs. The advertisements depict high-end gated communities as places of luxury, exclusiveness, high security and convenience which also offer a range of recreational facilities for individuals and families. Additionally, those who live in the gated enclaves are portrayed as persons of distinction and class who are global and cosmopolitan in their outlook and identity.