Delhi NCR Region Research Articles

Stress, anxiety, and burnout among educators during the COVID-19 pandemic

The occurrence of the COVID-19 pandemic in 2019 changed every individual’s way of living. The worldwide shift of educators toward online teaching brought to light various difficulties and challenges faced by educators. The present study was conducted to assess the stress, anxiety, and burnout among educators based in the Delhi-NCR region of India during the COVID-19 pandemic. A total of 77 educators participated in the web-based survey where they were assessed using the Perceived Stress Scale, Generalized Anxiety Disorder Questionnaire, and Maslach’s Burnout Inventory. The results revealed that stress experienced by them increased their anxiety. Anxiety increased the emotional exhaustion as well as depersonalization components of burnout whereas stress decreased the personal accomplishment component of burnout. Furthermore, the results indicated that female educators were more stressed compared to their male counterparts during this period. The findings showed how the mental health of educators was affected during the sudden shift to online teaching during the pandemic.

Lifestyle Factors in Diabetes Management: Insights from the Kerala Paradox for the Indian Diaspora

With an estimated 101 million people living with diabetes, India ranks second in the world for the highest number of cases. In particular, Kerala, a state in southern India, faces what is known as the "Kerala Paradox", where strong socio-economic indicators fail to translate into lower levels of lifestyle-related diseases. As a result, Kerala has one of the highest diabetes prevalence rates in the country, ranking among the top three. This research paper aims to thoroughly analyse the Kerala Paradox and explore the factors contributing to it. It then extends the analysis through primary data to assess whether these lifestyle factors also influence the prevalence of diabetes in the Delhi NCR region. The latter half of the paper builds on findings from the literature review and primary research to evaluate the implications for diabetes management across the Indian diaspora. Keywords: India, Kerala paradox, Diabetes, Lifestyle factors, Physical activity, Dietary habits, Diabetes Management

Identifying Social-Cognitive Factors Influencing Aggression in Adolescents: A Cross-Sectional Indian Study

Adolescence is a critical period during which the likelihood of experiencing self-regulation failures like aggressive outbursts is increased. Recent Indian studies on adolescents have reported an increasing incidence of aggressive acts during this time of transition, which is a threat to the adolescent, the victim and society in general. This study focuses on the social-cognitive perspective, implying that aggression is a social behaviour that is largely affected by one’s beliefs about the acceptability of aggression and the degree of cognitive and effortful control they have over their emotions. Such beliefs are likely to be influenced by emotion socialisation, wherein parents and peers act as key agents. With this perspective, the current study, through a mediational model, explains the social-cognitive factors predicting aggressive behaviour in adolescents. This is a cross-sectional, descriptive study carried out on a sample of 475 adolescent students from the Delhi-NCR region recruited through purposive sampling. The data were collected through self-report questionnaires from schools and colleges. The model was tested using SPSS AMOS and was found to be a good fit for the data. The findings of this study are crucial from a risk and intervention perspective. It emphasises the need to build socially and emotionally competent students who not only have the skills needed to succeed but also nurture healthy social relationships and maintain positive mental health through adaptive emotion regulation skills.

Impact of COVID-19 Vaccination on Menstrual Cycle, Quality of Life and Perception on Fertility: A Mixed Methods Study of Women in Delhi-NCR

The COVID-19 pandemic presented extraordinary challenges which led individuals to make global efforts to develop a vaccine that could help battle the spread of the infection. The COVID-19 vaccine came as a sigh of relief for the world, but whilst we assess the positives, we must consider looking into the potential impacts it has had on aspects of health, including female reproductive health. The current study aimed at assessing the potential impacts that COVID-19 vaccination had on menstrual cycles and the perception of women about fertility-related issues following the jab through a comprehensive mixed methods design. A structured survey, using the Menstrual Symptom Questionnaire (MSQ) and WHO Quality of life scale was carried out with a diverse sample (n=500) of women (18-40 years) in the Delhi-NCR region, collecting data on menstrual cycle changes post receiving the Vaccine. Additionally, semi-structured interviews were conducted with a subset of the participants (n=15) to understand the perceptions of women about fertility-related issues following the Vaccine. The study suggests that most of the participants reported facing menstrual concerns such as missed periods, menstrual irregularities, excessive menstrual bleeding and increased cramping on the first day of their period. Through semi-structured interviews, the themes that emerged were fear regarding conception, early menopause, infertility, mood changes, anxiety, fatigue, less pain tolerance and problems with menstrual flow. Alongside, many had low scores on the quality-of-life questionnaire which was understood better through semi-structured interviews. Cognitive distortions were observed among participants while they explained their perceptions of the whole scenario. The study seeks to address a critical topic and fill knowledge gaps to understand the possible health impacts the COVID-19 vaccine has on women’s reproductive health. The study would contribute to creating scientific evidence and valuable insights for the health industry to understand any potential side effects the vaccine could have.

A Study on Strategic Approaches to Efficient Sustainable Logistics

With the fast evolution of eCommerce, logistics is vitally involved in ensuring-with due efficiency-the movement of goods from the seller to the buyer. In an environmental sense, such efficiency would mean cost and time optimization, matching expectations of swift, timely product delivery. However, with growing environmental concerns, the need for sustainable logistics becomes no less critical. This research will dwell on strategic paths to balancing logistics efficiency with sustainability, leveraging state-of- the-art technologies such as Artificial Intelligence and automated route optimization. The study further proposes the integration of electric vehicles and green logistics practices in the sector of e-commerce, especially in the Delhi NCR region. It will quantify, through qualitative analysis, the effect that these techniques have on the environmental performance of sustainable logistics-such as carbon footprint reduction and general economic efficiency. Key Words eCommerce logistics, Sustainable logistics, Artificial intelligence (AI), Automation in logistics, Electric vehicles, Carbon emissions reduction, Route optimization, Eco-friendly packaging, Logistics efficiency, Environmental sustainability

Women Entrepreneurship: Driving Economic Empowerment in Atmanirbhar Bharat

The impact of women entrepreneurship on economic development in the Delhi-NCR region of India is a pivotal area of study, reflecting broader socio-economic trends and challenges. This paper examines how women entrepreneurs contribute to economic growth and social transformation within this rapidly urbanizing region. The Delhi-NCR region, encompassing the National Capital Territory of Delhi and adjoining areas in Haryana, Uttar Pradesh, and Rajasthan, represents a significant economic hub in India. It provides a fertile ground for exploring the dynamic role of women in business and its implications for economic development. Women entrepreneurship in Delhi-NCR has seen an outstanding ascent because of a conjunction of variables including expanded instructive fulfillment among ladies, steady government strategies, and developing cultural standards. This paper utilizes a blended strategies approach, consolidating quantitative information examination and subjective contextual investigations to grasp the expansiveness and profundity of ladies' effect around here. The review recognizes key areas where lady’s business people are generally dynamic, like innovation, retail, and administrations, and inspects how their endeavors impact nearby economies, work creation, and advancement.In order to determine the role of women-led businesses in regional economic development, the research conducts quantitative analyses of employment statistics, business performance metrics, and economic contributions. In order to gain an understanding of the difficulties and opportunities faced by women entrepreneurs, the study conducts qualitative interviews with business leaders, policymakers, and other female entrepreneurs. The findings highlight a number of significant effects that women's entrepreneurship has on the growth of the Delhi-NCR economy.

Dance Teacher Education at Shiv Nadar Schools: Issues, Challenges, and Opportunities

ABSTRACT With India’s long tradition of dance as a form of cultural preservation and current policy expectations, it is inevitable that dance practices in Indian K12 schools will experience growth. Given the status of dance teacher education in the country, it is unclear if current and future dance educators are prepared to meet this expansion. In this article, the authors report on a qualitative research project that, through semi-structured interviews with K12 dance teachers in the Delhi NCR region of India, sought to better understand teacher preparedness and to hear from the teachers themselves about what issues, challenges, and opportunities they face. The results are organized into the broad themes of a) navigating ourselves as dance teachers, b) navigating dance in schools, and c) navigating dance in India. Based on these results, suggestions are made for future professional development.

Upcycled Food Practices among Indian Household and Consumers: A Selective Study of Delhi NCR

Over one third of the food produce globally is being wasted. Upcycling foods is a promising approach which involves transforming edible food waste into new consumable products. While upcycling has significant potential, there is a notable lack of research on consumer attitudes and awareness towards upcycled foods in India. This study aims to address this gap by examining the perceptions and acceptance of upcycled food products among Indian consumers, specifically those in the Delhi NCR region.

A Study to Compare the Attitude of Nursing Teachers about the Annual and Semester Systems at Delhi Ncr Region

A Study to Compare the Attitude of Nursing Teachers about the Annual and Semester Systems at Delhi Ncr Region

Exploring perceptions of psychology students in Delhi-NCR Region towards using mental health apps to promote resilience: a qualitative study

BackgroundMental health apps (MHapps) have the potential to become an essential constituent for addressing mental health disparities and influencing the psychological outcomes of students in India. Though lauded as a practical approach to preventing various mental health issues, there are concerns that developing and utilizing MHapps standardized on Western populations produce ineffective results for the natives of Asian countries such as India due to a wide range of cultural differences. This research was conducted on psychology students living in the Delhi-NCR region of the Indian subcontinent. The study explored psychology students’ perceptions, needs, and preferences regarding mental health apps that promote resilience, identified barriers and facilitators for developing effective mental health apps, and explored the cultural relevance of the development of MHapps in India.MethodsThis was an exploratory study utilizing focus group discussions among psychology students. Psychology students were sampled using snowball sampling from Delhi-NCR region colleges to participate in FGDs. We conducted six focus groups, which included a representation of 30 psychology students from full-time UG/PG courses. The study used a reflexive thematic analysis framework using the six-step Braun and Clarke process to develop themes.ResultsPsychology students valued MHapps for their easy accessibility, 24*7 functionality, affordable costs, highly engaging features, and the option of being anonymous. However, students preferred the apps based on established psychological frameworks with strong empirical evidence and the availability of remote mental health professionals with relevant qualifications and training. The main barriers to using MHapps identified by students included difficulties in differentiating between real and fake MHapps, lack of progress tracking of the users due to minimal human interactions, and ethical and data privacy concerns. Students also emphasized the cultural relevance of MHapps. The interpretation of our findings indicates that students demanded transparency regarding the authenticity of MHapps.ConclusionThe findings of this exploratory investigation offer a better understanding of how college students perceive the usage of MHapps to improve resilience. This study highlights that further research should explore the specific needs and preferences of university students for developing and implementing effective MHapps for different contexts.

An optimized deep belief network based pothole detection model for asphalt road

The poor quality of asphalt roads has a significant impact on driver safety, damages the mechanical structure of vehicles, increases fuel consumption, annoys passengers and is sometimes also responsible for accidents. Further, the poor quality of the road can be described as a rough surface and the presence of potholes. The potholes can be one of the main reasons for accident cause, increased fuel consumption and annoying passengers. Furthermore, the potholes can be of varied size, radiance effect, shadow and scales. Hence, the detection of potholes in asphalt roads can be considered a complex task and one of the serious issues regarding the maintenance of asphalt roads. This work focuses on the detection of the potholes in the asphalt roads. So in this work, a pothole detection model is proposed for accurate detection of potholes in the asphalt roads. The effectiveness of the proposed pothole detection model is tested over a set of real-world image datasets. In this study, the asphalt roads of the Delhi-NCR region are chosen and real-world images of these roads are collected through the smart camera. The final road image dataset consists of a total of 1150 images including 860 pothole images and the rest of are without pothole images. Further, the deep belief network is integrated into a proposed model for the detection of pothole images as a classification task and classified the images as pothole detected and not pothole. The experimental results of the proposed detection model are evaluated using accuracy, precision, recall, F1-Score and AUC parameters. These results are also compared with ANN, SVM, VGG16, VGG19 and InceptionV3 techniques. The simulation results showed that the proposed detection model achieves a 93.04% accuracy rate, 94.30% recall rate, 96.31% precision rate and 96.92% F1-Score rate than other techniques.

Oral health status and oral health-related quality of life among children with type 1 diabetes mellitus in the age group of 11-14 years in Delhi-NCR Region.

The purpose of this study was to assess the impact of oral health status (OHS) and sociodemographic indicators on oral health-related quality of life (OHRQoL) among children with type 1 diabetes mellitus (T1DM) aged 11-14 years and compare it with age-matched nondiabetic children. This cross-sectional study included 80 children aged between 11 and 14 years with T1DM and 80 age-matched nondiabetic children. The OHRQoL was measured using a validated structured Hindi version of the child perception questionnaire (CPQ11-14) questionnaire. The clinical OHS was assessed using the decayed, missing, or filled teeth index, plaque index (PI), and gingival index (GI). Associations between OHRQoL and independent predictors were analyzed with the log-linear Poisson model regression method. CPQ11-14 scores were significantly lower in nondiabetic children than diabetic children, indicating better OHRQoL among nondiabetic children than diabetic children (P ≤ 0.05). The GI score exhibited a significantly lower value in nondiabetic children than in diabetic children (P = 0.014). In contrast, the mean decayed, missing, and filled teeth score showed a significantly higher value in nondiabetic children than in diabetic children (P ≤ 0.001). There was no difference in the mean PI of diabetic and nondiabetic children (P = 0.096). The result of the present study highlighted the detrimental effect of T1DM on OHRQoL in children.

Impact of Leadership Style on Teacher Efficacy and Teacher Commitment in Senior Secondary Schools of Delhi NCR

This research paper investigates the influence of teachers' leadership styles on teacher efficacy and teacher commitment in senior secondary schools in the Delhi NCR region. By analyzing the various leadership styles—transformational, transactional, and laissez-faire—and their impact on teachers' sense of efficacy and their commitment to the profession, this study aims to provide insights into effective leadership practices in educational settings. Data were collected through surveys administered to teachers and analyzed to understand the correlations and implications. The findings underscore the critical role of leadership in fostering an environment that promotes both high teacher efficacy and strong commitment, ultimately contributing to better educational outcomes.

Study on Job Demands, Work Engagement and Growth Mindset among Young Adults

This study examines the interplay among job demands, work engagement, and growth mindset among young adults in the Indian workforce, based on theories like the Job Demands-Resources (JD-R) and mindset theory. Conducted in the Delhi NCR region with 304 participants using purposive sampling, data was collected using Dweck's 3-Item Growth Mindset Scale and the Utrecht Work Engagement Scale. Statistical analyses, including correlation, multiple regression, and moderation regression, were employed. Results indicate significant correlations among job demands, work engagement, and growth mindset, with growth mindset moderating the relationship between job demands and work engagement. These findings offer insights for enhancing employee well-being and productivity, despite limitations such as sample characteristics and self-reported measures.

IMPACT OF COVID-19 ON THE SELECTED PRIVATE EDUCATIONAL INSTITUTES IN DELHI-NCR REGION

IMPACT OF COVID-19 ON THE SELECTED PRIVATE EDUCATIONAL INSTITUTES IN DELHI-NCR REGION

Assessment of Perception of Learning by Undergraduate Dental Students in Delhi-NCR Region using Dundee Ready Educational Environment Measure: A Cross-Sectional Study

Abstract Background: Education in any dental institution and curriculum plays a vital role in the growth of students, which will help them acclimatize to the increased demand for dentistry. Purpose: This study aimed to evaluate the students’ perception of course curricula in three dental institutes in the Delhi-NCR region among undergraduate students and interns. Materials and Methods: This cross-sectional study was conducted among undergraduate students from first year till interns in three dental institutes of the Delhi-NCR region based on the Dundee Ready Educational Environment Measure (DREEM) questionnaire. The DREEM questionnaire was distributed using Google Forms. Six hundred seventy students from three institutes participated in the questionnaire, and data were tabulated and subjected to statistical analysis by the Kruskal–Wallis and the Mann–Whitney test. Results: The total mean DREEM score was 158.8/200 in the present study, which is excellent. The overall scoring of the domain showed a significant difference for the fourth BDS for students’ perception of atmosphere (P = 0.001) and for the third-year students for students’ academic self-perception (P = 0.004). In the present study, all subdomains scored > 2, which means students had positive attitudes toward learning. Conclusion: Although students had positive learning perceptions in all three institutes, there were some problematic areas, such as stress during dental courses, for which policies should be formulated and implemented in dental institutes. The students were found to be too tired at the dental institute; they could not enjoy the program. Student-centered teaching programs can be employed to improve on the weaknesses of institutes.

“Is my voicing up linked to social pain I bear”: examining the correlates of internal whistleblowing

PurposeUndertaking the theoretical lens of “The need to belong” theory, the present study intends to explore the aftermath of internal whistleblowing and the behavioral outcomes that follow by linking it to the literature on workplace ostracism, loneliness and intentions to quit.Design/methodology/approachThe respondents were hotel employees in the Delhi NCR region of northern India. A hypothesized sequential mediation model was tested on a sample of employees from a hotel using a three-wave time-lagged multistudy design.FindingsThe findings of the study established that internal whistleblowing leads to intentions to quit via workplace ostracism and loneliness at work.Originality/valueThe unique contribution of this study lies in understanding the underlying mechanisms and discussing the behavioral outcomes that follow post-whistleblowing. HR managers need to develop a work environment that protects whistleblowers and has a zero-tolerance policy against employees engaging in any form of retaliation or unethical business practices. Managers must be more proactive and sensitive to the social cues that will make them aware of the presence of acts of ostracism. Upon encountering such acts, managers can consider counseling employees engaging in such unhealthy practices.

DengueFog: A Fog Computing-Enabled Weighted Random Forest-Based Smart Health Monitoring System for Automatic Dengue Prediction.

Dengue is a distinctive and fatal infectious disease that spreads through female mosquitoes called Aedes aegypti. It is a notable concern for developing countries due to its low diagnosis rate. Dengue has the most astounding mortality level as compared to other diseases due to tremendous platelet depletion. Hence, it can be categorized as a life-threatening fever as compared to the same class of fevers. Additionally, it has been shown that dengue fever shares many of the same symptoms as other flu-based fevers. On the other hand, the research community is closely monitoring the popular research fields related to IoT, fog, and cloud computing for the diagnosis and prediction of diseases. IoT, fog, and cloud-based technologies are used for constructing a number of health care systems. Accordingly, in this study, a DengueFog monitoring system was created based on fog computing for prediction and detection of dengue sickness. Additionally, the proposed DengueFog system includes a weighted random forest (WRF) classifier to monitor and predict the dengue infection. The proposed system's efficacy was evaluated using data on dengue infection. This dataset was gathered between 2016 and 2018 from several hospitals in the Delhi-NCR region. The accuracy, F-value, recall, precision, error rate, and specificity metrics were used to assess the simulation results of the suggested monitoring system. It was demonstrated that the proposed DengueFog monitoring system with WRF outperforms the traditional classifiers.

Financial risk profiling of millennials

Purpose This study aims to assess the risk profile of millennial investors residing in the Delhi NCR region. In addition, the relationship between the risk profile and demographic traits of millennial investors was also analyzed. Design/methodology/approach Data was collected using a structured questionnaire segregated into two sections. In the first section, millennials were asked questions on socio-demographic factors, and the second section contained ten Likert-type statements to cover the multidimensionality of financial risk. Factor analysis and one-way ANOVA were used to analyze the primary data collected for this study. Findings The findings indicate that the risk profile of millennials is mainly affected by three factors: risk-taking capacity, risk attitude and risk propensity. Except for educational qualification and occupation, all other demographic features, such as age, gender, marital status, income and family size, seem to significantly influence the factors defining millennials' risk profile. Originality/value Uncertainty is inherent in any financial decision, and an investor’s willingness to deal with these variations determines their investment risk profile. To make sound financial decisions, it is mandatory to understand one’s risk profile. The awareness of millennials' distinctive risk profile will come in handy to financial stakeholders because they account for one-third of India’s population, and their financial decisions will shape the financial world for the decades to come.

Satellite or ground-based measurements for air pollutants (PM2.5, PM10, SO2, NO2, O3) data and their health hazards: which is most accurate and why?

Air pollution is growing at alarming rates on regional and global levels, with significant consequences for human health, ecosystems, and change in climatic conditions. The present 12 weeks (4 October 2021, to 26 December 2021) study revealed the different ambient air quality parameters, i.e., PM2.5, PM10, SO2, NO2, and O3 over four different sampling stations of Delhi-NCR region (Dwarka, Knowledge park III, Sector 125, and Vivek Vihar), India, by using satellite remote sensing data (MERRA-2, OMI, and Aura Satellite) and different ground-based instruments. The ground-based observation revealed the mean concentration of PM2.5 in Dwarka, Knowledge park III, Sector 125, and Vivek Vihar as 279 µg m-3, 274 µg m-3, 294 µg m-3, and 365 µg m-3, respectively. The ground-based instrumental concentration of PM2.5 was greater than that of satellite observations, while as for SO2 and NO2, the mean concentration of satellite-based monitoring was higher as compared to other contaminants. Negative and positive correlations were observed among particulate matter, trace gases, and various meteorological parameters. The wind direction proved to be one of the prominent parameter to alter the variation of these pollutants. The current study provides a perception into an observable behavior of particulate matter, trace gases, their variation with meteorological parameters, their health hazards, and the gap between the measurements of satellite remote sensing and ground-based measurements.