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• Help in attaining enhances absorption due to multiple reflections as well as concentrating effect within the enclosure. • Reduces the absorption on the side wall temperature and hence, the resultant temperature and the side losses (reduction in both conductive as well radiative heat loss). • A lower heat capacity of the cooking interior due to reduced absorbing surface area which generally do not participate in heat transfer to load but act as surface that loses heat to ambient. • Selection of a TPP that could reflect minimal change- cooker opto-thermal ratio (COR) • Detailed discussion of additionality achieved in terms of performance, economy and carbon saving (environmental aspect) post-retrofit in Indian SBC • Introduced carbon mitigation potential as an objective parameter derived from cooker opto-thermal ratio (COR) Design intervention for improvement in the performance of a solar cooker is required for its mass adoption and popularization. It has remained stagnant for decades for want of a holistic tool which provides metric for prediction of its cumulative optical and thermal(opto-thermal) performance, cooking type/objectives, techno-economic feasibility and climatic impact/carbon mitigation potential. In this work assessment of effectiveness of novel design intervention through retrofitting of internal radiative control in an Indian solar box cooker, one of the most popular family cookers in India, has been investigated using available tools. The solar cooker, with the minimal design intervention, and negligible cost implication shows an improvement of 6.74%, and 6.86% in the values of figures of merit, F 1 and F 2 , respectively, used for the thermal performance evaluation. Here, the standard test procedure for figures of merit mainly accounts for the thermal aspect of the performance as it excludes the use of external booster reflector. Alternatively, the Cooker opto-thermal ratio (COR), a parameter measuring opto-thermal performance, shows a 1.25-fold increase. The retrofitted reflectors enhance localised targeted absorption and reduce thermal losses, resulting in a 25% improvement in COR. The retrofitting process is simple, and easy; and offers superior performance, favourable economics, and potential for carbon mitigation, making it highly attractive. Also, this work demonstrates COR as a tool with higher resolution enabling analysis of the impact of even minimal design intervention. [ABSTRACT FROM AUTHOR]

The present work assesses the real-world performance of novel improved mud-based cookstoves (MBC) - Pavak 1 (P1) and Pavak 2 (P2) in a remote community in Khandwa, Madhya Pradesh, India. These MBC's were designed using multi-parameter optimization based on extensive laboratory testing. These MBCs are affordable and durable, and can be locally manufactured without compromising cooking quality, taste, or convenience while still meeting the Indian cookstove performance standards (BIS IS 13152 (Part 1): 2013) for emissions and efficiency. MBC's performance was compared to traditional stoves (TS) in accordance with the ISO 19869:2019 cookstove field testing protocol. 45 cooking sessions were captured (22 P1; 13 P2; 10 TS). Fuel-based emission factors (EF) for PM 2.5 and CO were estimated using the carbon balance method. Results indicate reductions in PM 2.5 (56% for P1 and 46% for P2) and CO emissions (15% for P1 and 0.85% for P2) compared to TS. Analysis of real-time modified combustion efficiencies showed that MBCs exhibited prolonged periods in pure flaming conditions compared to TS. A user perception survey was conducted in the intervention households to understand community acceptability. Our results demonstrate the potential for increased adoption rates, emphasizing the importance of information, education, and communication (IEC) programs to maximize health and climate benefits. [ABSTRACT FROM AUTHOR]

There have been research attempts to automate the process of lithology identification from the well-logs using machine learning algorithms. However, a single algorithm cannot be applied on a universal scale due to the nonstationary nature of geological data sets. The notion of changes in the well-log signal must be considered to resolve the issue. This paper presents a multistage method using multivariate change detection and statistical machine learning to (a) identify the significant changes in the well-logs, (b) map multivariate change in log signal with the lithofacies classes, (c) enhance the data set by removing the highly populated class, (d) using statistical machine learning tools, i.e., Support Vector Machine (SVM) to classify target classes. We apply the algorithm to the data collected from a mostly shale-contained subsurface environment in the Krishna-Godavari (KG) basin, India. The primary objective of the research is to locate thin layers of hydrocarbon-contained sand in the subsurface while dealing with challenges such as intra-well and inter-well heterogeneity and a severe class imbalance. The algorithm satisfactorily performs in lithofacies classification with significantly better performance than the standard machine learning algorithm. • Lithofacies identification using a multi-stage change detection approach • Lithofacies identification in a non-stationary subsurface • Lithofacies classification in an unbalanced condition [ABSTRACT FROM AUTHOR]

Sustainability reporting across companies continues to be diverse, with many variations on the specific dimensions that companies may choose to report under the voluntary reporting standards. A standardized pathway for safety related information is built with special relevance for India and its suitability to reflect organizational safety culture explored through a review of ten oil and gas and process sector companies. The review attempts to find a balance between priority accorded to safety and safety performance indicators across organizations through a multi-dimensional index encompassing management commitment and operational performance standards. Organizations are classified across three levels of safety culture reporting: high, medium and low. The findings show that sustainability reporting across the multi-dimensional index is at best inconsistent across the selected organizations. This illustrates the need for companies to adopt comprehensive and standardized reporting before sustainability reporting may function accurately as a pathway for understanding an organization's safety information system, and, as a reflection of organizational safety culture. [ABSTRACT FROM AUTHOR]

Mobile telephony influences nearly all aspects of people׳s lives and is expected to grow in importance as a revenue and information source. Mobile phones are reported to have a positive and significant impact on the overall economic performance of individuals and the growth of a country. In India, however, the adoption pace of mobile telephony in rural regions is slower than that in urban areas. We examine the differences in the intention to adopt mobile telephony across different segments of the rural Indian population using the extended technology acceptance model (TAM), partial least squares regression, and multigroup analysis. Results suggest that gender, age, technology subscription, and region play a moderating role on the relationships in the extended TAM for rural India. These findings can help service providers design and develop group-specific offerings that lead to faster adoption of mobile telephony in rural India. [ABSTRACT FROM AUTHOR]