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Due to the increasing population and prosperity, the generation rate of municipal solid waste (MSW) has increased significantly, resulting in serious problems on public health and the environment. Every single person in the world is affected by the municipal solid waste management (MSWM) issue. MSWM is reaching a critical level in almost all areas of the world and seeking the development of MSW strategies for a sustainable environment. This paper aims to present the existing global status of MSW generation, composition, management and related problems.

A total of 59 developed and developing countries have been grouped based on their gross national income to compare the status of various MSWM technologies among them. A total of 19 selection criteria have been discussed to select appropriate MSWM technology(s) for a city/town, which affects their applicability, operational suitability and performance. All risks and challenges arising during the life cycle of the waste to energy (WtE) project have also been discussed. This paper also gives a comparative overview of different globally accepted MSWM technologies and the present market growth of all WtE technologies.

It was found that most developed countries have effectively implemented the solid waste management (SWM) hierarchy and are now focusing heavily on reducing, reusing and recycling of MSW. On the other hand, SWM has become very serious in low-income and low-middle-income countries because most of the MSW openly dumps and most countries are dependent on inadequate waste infrastructure and the informal sector. There are also some other major challenges related to effective waste policies, availability of funds, appropriate technology selection and adequacy of trained people. This study clears the picture of MSW generation, composition, management strategies and policies at the worldwide context. This manuscript could be valuable for all nations around the world where effective MSWM has not yet been implemented.

This study clears the picture of solid waste generation, composition, management strategies and policies at the worldwide context. This manuscript could be valuable for all nations around the world where effective MSWM has not yet been implemented. In this study, no data was generated. All supporting data were obtained from previously published papers in journals, the outcomes of the international conferences and published reports by government organizations.

This paper aims to examine the interrelationships between subnational conflicts in Myanmar and other variables of interests from the following four major domains: economic, human security and vulnerability of people, aggressiveness or militancy of the armed forces and global and regional climates.

Autoregressive distributed lag (ARDL) bounds testing approach has been applied on annual data from 1960-2017, to deal with the problems of autocorrelation and non-stationarity of key variables.

First, an increase in crop yield, cereal productivity, food productivity and per capita availability of arable land unequivocally and significantly lower the severity of conflict in Myanmar in the long run. Second, the authors uncover strong evidence that the intensity of conflicts bears a positive relationship with the vulnerability of the people of Myanmar. Third, the authors detect that both regional and global climate variables have limited and rather inconsistent impacts on subnational conflicts in Myanmar. Finally, the authors find that the aggressiveness (militancy index) of the armed forces has significant impacts upon subnational conflicts and economic variables of Myanmar in the long run.

This paper is completely data-driven and explains the long-term dynamics of the intensity of the civil war in Myanmar. ARDL bounds testing approach has been used to examine the interrelationships between subnational conflicts in Myanmar and other variables of interests. It is a novel approach, which overcomes the problems of autocorrelation and nonstationarity and offers reliable results.

Buy-now, pay-later (BNPL) services can put consumers into a debt trap by encouraging consumers to buy things they cannot afford, leading to a culture of materialism and consumerism. Therefore, this research aims to investigate how materialism can influence BNPL use and impulsive and compulsive buying. Additionally, the authors examine if BNPL use and impulsive buying mediate between materialism and compulsive buying.

Data from 556 participants were collected through a structured questionnaire via an online survey. Structural equation modeling (SEM) using SMART PLS 4 was employed to analyze the relationship between variables and to test the proposed hypotheses.

Materialism impact BNPL use and increases the inclination for impulse buying, precipitating compulsive buying behavior. However, BNPL use does not directly influence compulsive buying. The mediating relationship was identified, where BNPL use, and impulsive buying mediate the relationship between materialism and compulsive buying.

BNPL use alone does not inevitably lead to compulsive buying. The only way BNPL use could lead to compulsive buying is through impulsive buying. Therefore, BNPL service providers need to foster responsible buying habits due to the rise in impulsive buying, which, if not controlled, could lead to a debt trap resulting from compulsive buying.

This study contributes to the limited BNPL literature because there is speculation, but the scarcity of empirical evidence to substantiate, how materialism influences BNPL use and increases the inclination for impulse buying, precipitating compulsive buying behavior.

There is a paucity of comparative literature on pathway to care among patients with co-occurring disorders and those with only substance use disorders. This paper aims to compare the pathways to care among patients with co-occurring disorder and those with only substance use disorders.

A cross-sectional observational study was carried out on male treatment seekers at a tertiary care substance use disorder treatment center in India. Participants were recruited in two groups, those with co-occurring psychiatric and substance use disorders and those with only substance use disorders. The two groups were matched for age and socio-economic status.

A total of 189 subjects with co-occurring psychiatric and substance use disorders and 197 subjects with substance use disorders only were recruited. Psychiatric services were the most common first point of care. However, a larger proportion of the subjects in the co-occurring disorder group received the first care from faith healers, while a greater proportion received first care from the therapeutic communities in substance use disorder only group. Initial care was sought mostly following suggestion from the family members in both the groups. The time to treatment for substance use disorders did not differ between the two groups, though the treatment seeking for substance use disorder was more delayed than that of psychiatric disorder in the co-occurring disorder group.

The findings shed light on the pathway of care followed in India and is a matter of further research.

Expansion of services and dissemination of information about psychiatric disorders and substance use disorders can provide timely care to patients with substance use disorders and co-occurring disorders.

The findings have a social implication as well. More awareness is needed currently in India for timely treatment of dual disorders.

The paper is an original research by the authors. The data were collected from the participants who reported to the dual diagnosis clinic. The findings are important as they tell us about the current understanding of dual diagnosis by the general public.

The purpose of this study is to examine the impact of fashion influencer measures on consumers' purchase intentions and the mediation of attitudes to understand the phenomenon of influencer marketing in the backdrop of the fashion industry.

The present study employs a conceptual model based on extended theory of planned behaviour (TPB) with added perceived trust. Data were collected from 341 participants from different regions of the country and analysed using direct path analysis and mediation technique.

The study found that attitudes toward fashion influencers are positively influenced by perceived trust, subjective norms and perceived behavioural control. However, perceived behavioural control is not directly related to purchasing intents in the research model. The results confirmed that attitudes have a positive association with purchase intentions both directly and indirectly (partially mediation).

The study advocates market practitioners and advertisers to acknowledge the increasing importance of influencer marketing and the promotion of their fashion offerings in the setting of emerging fashion industry.

The present study adds crucial value to enhance the understanding of fashion influencer marketing in the Indian context. This research offers several insights into the continually growing knowledge domain of influencer marketing by predicting the direct relationships with purchase intents and the mediation of attitudes.

The purpose of this paper is to investigate the activities of environmental consciousness from socio-psychographic perspectives and hence evaluates its effect on brand equity through intervening elements of environmental attributes (EAt). It further attempts to research the effect of the environmental performance, environmental communication and environmental positioning in enhancing brand equity. Indian refrigeration industry, particularly the air conditioners and refrigerator brands are chosen to convey and receive the research inputs as their impact on environment is easily interpretable.

A hypothesized model comprising the environment consciousness and association dimensions with brand equity is framed. In total, 74 expert respondents from four state capital cities of India participated in the survey and the model has been tested in the scope of analytical hierarchy process (AHP).

The result shows that the EAt and activities can be prioritized and subsequently efficient resource allocation can be done. It also gives theoretical arguments to legitimize the environmental practices.

On the other hand, clients have numerous options, and a competitive advantage may not be maintained. Regardless of the fact that clients are environmentally conscious of a given refrigeration brand at the present time that they are utilizing, they may observe that they are much more charmed with a competitors’ enhanced environmental dimensions. All methods that take a try at an enhanced brand equity must be continually determined by environmental consciousness. The above can be accomplished if the evaluations of competitors by the clients are known. The AHP-ECBE technique depicted in this study accordingly helps refrigeration organization to devise and keep up a pertinent, focused plan for persistent improvements in environmental dimensions. It offers a “greater image” in brand equity administration.

If legitimately done in a generalized way, environmental activities like eco-literacy, interpersonal influence and value orientation can impact EAt and contribute in building brand equity.

The purpose of this study is to provide human resource (HR) practitioners of multinational companies aspiring to invest in these two countries with guidelines for attaining organizational effectiveness through people.

This study develops and tests a multiple criteria decision-making model with data collected in the banking sectors of India and Mozambique. It compares the job engagement, team building and innovation strategy preferences of Indian personnel with those of Mozambican employees.

The findings of the study reveal the differences in the perceptions of the respondents of both countries regarding the importance of the strategies for organizational effectiveness.

Despite several contributions, the study has certain limitations too. Although utmost care was taken to avoid the issue of common method variance, the cross-sectional self-reported design of the study might be adversely affected by common method bias (MacKenzie and Podsakoff, 2012). Hence, future research might be conducted using different designs, such as diary studies or longitudinal studies. Future research might also be conducted making use of organizational productivity case studies to demonstrate the practicability of customizing the HR strategies using the multi-attribute decision-making approach.

This body of work is an addition to the existing literature on cross-national studies in the field of HR management (HRM) and adds to the limited literature on HRM in the least developed countries. The study is designed to provide guidelines for the HR practitioners of multi-national companies in these two countries to help them achieve enhanced organizational effectiveness. This should be of particular interest to the HR managers of the Indian companies aspiring to invest in Mozambique.

Research in the area of HRM is mainly limited to the developed and developing nations, with very few studies centering on emerging economies. While most cross-national studies on organizational effectiveness are also largely focused on developed and developing nations, this study is unusual, in that its focus is on a fast-developing nation (India) and an emerging economy (Mozambique).

The natural control, feedback, stimuli and protection of these subsequent principles founded this project. Via properly conducted experiments, a multilayer computer rehabilitation system was created that integrated natural interaction assisted by electroencephalogram (EEG), which enabled the movements in the virtual environment and real wheelchair. For blind wheelchair operator patients, this paper involved of expounding the proper methodology. For educating the value of life and independence of blind wheelchair users, outcomes have proven that virtual reality (VR) with EEG signals has that potential.

Individuals face numerous challenges with many disorders, particularly when multiple dysfunctions are diagnosed and especially for visually effected wheelchair users. This scenario, in reality, creates in a degree of incapacity on the part of the wheelchair user in terms of performing simple activities. Based on their specific medical needs, confined patients are treated in a modified method. Independent navigation is secured for individuals with vision and motor disabilities. There is a necessity for communication which justifies the use of VR in this navigation situation. For the effective integration of locomotion besides, it must be under natural guidance. EEG, which uses random brain impulses, has made significant progress in the field of health. The custom of an automated audio announcement system modified to have the help of VR and EEG for the training of locomotion and individualized interaction of wheelchair users with visual disability is demonstrated in this study through an experiment. Enabling the patients who were otherwise deemed incapacitated to participate in social activities, as the aim was to have efficient connections.

To protect their life straightaway and to report all these disputes, the military system should have high speed, more precise portable prototype device for nursing the soldier health, recognition of solider location and report about health sharing system to the concerned system. Field programmable gate array (FPGA)-based soldier’s health observing and position gratitude system is proposed in this paper. Reliant on heart rate which is centered on EEG signals, the soldier’s health is observed on systematic bases. By emerging Verilog hardware description language (HDL) programming language and executing on Artix-7 development FPGA board of part name XC7ACSG100t the whole work is approved in a Vivado Design Suite. Classification of different abnormalities and cloud storage of EEG along with the type of abnormalities, artifact elimination, abnormalities identification based on feature extraction, exist in the segment of suggested architecture. Irregularity circumstances are noticed through developed prototype system and alert the physically challenged (PHC) individual via an audio announcement. An actual method for eradicating motion artifacts from EEG signals that have anomalies in the PHC person’s brain has been established, and the established system is a portable device that can deliver differences in brain signal variation intensity. Primarily the EEG signals can be taken and the undesirable artifact can be detached, later structures can be mined by discrete wavelet transform these are the two stages through which artifact deletion can be completed. The anomalies in signal can be noticed and recognized by using machine learning algorithms known as multirate support vector machine classifiers when the features have been extracted using a combination of hidden Markov model (HMM) and Gaussian mixture model (GMM). Intended for capable declaration about action taken by a blind person, these result signals are protected in storage devices and conveyed to the controller. Pretending daily motion schedules allows the pretentious EEG signals to be caught. Aimed at the validation of planned system, the database can be used and continued with numerous recorded signals of EEG. The projected strategy executes better in terms of re-storing theta, delta, alpha and beta complexes of the original EEG with less alteration and a higher signal to noise ratio (SNR) value of the EEG signal, which illustrates in the quantitative analysis. The projected method used Verilog HDL and MATLAB software for both formation and authorization of results to yield improved results. Since from the achieved results, it is initiated that 32% enhancement in SNR, 14% in mean squared error (MSE) and 65% enhancement in recognition of anomalies, hence design is effectively certified and proved for standard EEG signals data sets on FPGA.

The proposed system can be used in military applications as it is high speed and excellent precise in terms of identification of abnormality, the developed system is portable and very precise. FPGA-based soldier’s health observing and position gratitude system is proposed in this paper. Reliant on heart rate which is centered on EEG signals the soldier health is observed in systematic bases. The proposed system is developed using Verilog HDL programming language and executing on Artix-7 development FPGA board of part name XC7ACSG100t and synthesised using in Vivado Design Suite software tool.