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Introduction: Vitiligo is a common form of localized depigmentation and an important public health problem which affects around one percent of the global population and about two percent of the population in India. The present study aimed to document the results and side effects of non-cultured melanocyte transplant in patients with stable vitiligo without post-procedure use of NB UVB. Methods: The present study was a prospective interventional study conducted among patients with stable vitiligo who were attending the outpatient department (OPD) of dermatology of a tertiary center of Delhi. Patients with stable vitiligo aged >10 years who gave their consent for non-cultured epidermal suspension (NCES) were included in the study. Autologous skin graft of size 0.2 mm was taken from the donor site and a melanocyte cell suspension was prepared using standardized procedure, which was later transplanted to the recipient area. All patients were asked to come for follow-up at the OPD after seven days, 15 days, one month, followed by every month till six months post-transplantation, and repigmentation was assessed visually by both graph paper and photography. Data was analyzed using SPSS vs. 21. Results: In our study, the majority of patients had vitiligo vulgaris (27 subjects with 47 patches). A total number of 59 patches were transplanted, of which 38 (64.4%) achieved excellent repigmentation, 28.8% good repigmentation, 3.4% fair repigmentation and 3.39% poor repigmentation. A total of 1302.5 cm² of the depigmented area was operated by NCES and the repigmentation of 874.5 cm² (67.14%) was achieved by six months. Conclusion: The present study found that the majority of patients (93%) with vitiligo achieved excellent or good repigmentation after NCES and the rate of complication was very low. [ABSTRACT FROM AUTHOR]

To monitor the spread of the novel coronavirus (COVID-19), India, during the last week of March 2020, imposed national restrictions on the movement of its citizens (lockdown). Although India's economy was shut down due to restrictions, the nation observed a sharp decline in particulate matter (PM) concentrations. In recent years, Delhi has experienced rapid economic growth, leading to pollution, especially in urban and industrial areas. In this paper, we explored the linkages between air quality and the nationwide lockdown of the city of Delhi using a geographic information system (GIS)-based approach. Data from 37 stations were monitored from 12 March, 2020 to 2 April, 2020 and it was found that the Air Quality Index for the city was almost reduced by 37% and 46% concerning PM2.5 and PM10, respectively. The study highlights that, in regular conditions, the atmosphere's natural healing rate against anthropogenic activities is lower, as indicated by a higher AQI. However, during the lockdown, this sudden cessation of anthropogenic activities leads to a period in which the natural healing rate is greater than the induced disturbances, resulting in a lower AQI, and thus proving that this pandemic has given a small window for the environment to breathe and helped the districts of Delhi to recover from serious issues related to bad air quality. If such healing windows are incorporated into policy and decision-making, these can prove to be effective measures for controlling air pollution in heavily polluted regions of the World. [ABSTRACT FROM AUTHOR]

Two palliative cancer-care models are being pioneered in India. The first has been developed by CanSupport, a cancer-care NGO based in Delhi. The CanSupport model of care emphasizes expertise and focuses on a relatively small number of patients. The second model is the Neighbourhood Network of Palliative Care, advanced by a group of physicians in the southern state of Kerala. The NNPC model emphasizes reach over expertise. It provides short-term training to community workers and civic-minded citizens, mobilizing numbers to treat a wider patient pool. This paper compares the strengths and drawbacks of both models in order to understand the generalizability of each for providing care to lower-income communities in lower- and middle-income countries. [ABSTRACT FROM AUTHOR]

Background: Cancer of unknown primary (CUP) origin is cancer in which malignant cancer cells are in the body but the site of cancer where it began is unknown. Detailed incidence and time trends of these cancers, specific to various regions in India is needed. This paper aims to summarize and report the incidence of other and unknown (O&U) cancers across India in 27 population-based cancer registries (PBCRs) and to study the trends among these cancers using joinpoint regression analysis.Methods: Data on the incidence of CUP were obtained from the published reports on 27 PBCRs of the National Cancer Registry Programme (NCRP) of the Indian Council of Medical Research (ICMR). A joinpoint regression model was used to analyze the long-term trends of incidence related to CUP based on published data from PBCRs between 1986 and 2014. Annual Percent Change (APC) in incidence rate was estimated for various registries.Results: The northeast region had the highest age-adjusted rate (AAR) for both men (1.76-29.7) and women (1.99-14.68). Age-specific rate (ASR) for both men (39.8-855.7) and women (48.2-470.4) was highest in the northeast region. There is an increase in the incidence rate for all six major registries over the past decade with an exception of women in the Delhi Cancer Registry. There is a decline in incidence rate by 0.14 during 1990-2012 in the female population of the Delhi registry.Conclusion: The increasing incidence trends of CUP is a matter of concern for the healthcare professionals and researchers. There is a need for research and advanced and improved diagnostic tools for the improvement of the status of O&U cancers. [ABSTRACT FROM AUTHOR]

The rapid growth of electric vehicles in India necessitates more power to energize such vehicles. Furthermore, the transport industry emits greenhouse gases, particularly SO2, CO2. The national grid has to supply an enormous amount of power on a daily basis due to the surplus power required to charge these electric vehicles. This paper presents the various hybrid energy system configurations to meet the power requirements of the electric vehicle charging station (EVCS) situated in the northwest region of Delhi, India. The three configurations are: (a) solar photovoltaic/diesel generator/battery-based EVCS, (b) solar photovoltaic/battery-based EVCS, and (c) grid-and-solar photovoltaic-based EVCS. The meta-heuristic techniques are implemented to analyze the technological, financial, and environmental feasibility of the three possible configurations. The optimization algorithm intends to reduce the total net present cost and levelized cost of energy while keeping the value of lack of power supply probability within limits. To confirm the solution quality obtained using modified salp swarm algorithm (MSSA), the popularly used HOMER software, salp swarm algorithm (SSA), and the gray wolf optimization are applied to the same problem, and their outcomes are equated to those attained by the MSSA. MSSA exhibits superior accuracy and robustness based on simulation outcomes. The MSSA performs much better in terms of computation time followed by the SSA and gray wolf optimization. MSSA results in reduced levelized cost of energy values in all three configurations, i.e., USD 0.482/kWh, USD 0.684/kWh, and USD 0.119/kWh in configurations 1, 2, and 3, respectively. Our findings will be useful for researchers in determining the best method for the sizing of energy system components. [ABSTRACT FROM AUTHOR]

As the world struggles to cope with the pressing matters of global warming, rising temperature, and environmental degradation, the need for sustainable practices has become more urgent than ever for individuals and other establishments. Organizations across industries recognize the importance of adopting sustainable practices, not only to meet societal expectations but also to achieve long-term success. This research paper studies the influence of sustainable marketing on customer loyalty, focusing on the consumer electronics sector in India. A mixed-methods approach incorporating descriptive and causal research methods was used; with data collected from 302 participants from India's capital, Delhi and its nearby regions. Structural equation modeling was employed to establish multivariate relationships and Smart PLS 4 was used to analyze the data. The results suggest that sustainable marketing practices positively influence brand image and loyalty. Additionally, brand image acts as an intermediary between sustainable marketing and customer loyalty. These results provide valuable insights for managers aimed at fostering customer loyalty through sustainable practices, particularly in the consumer electronics sector. [ABSTRACT FROM AUTHOR]