RESUMO
Rural electrification policies in the developing world primarily focus on household power, often at the cost of electricity supply to other productive sectors of the economy. We examine the consequences of this imbalance in rural electrification policy priority on agricultural development in India. Electric pumping of groundwater for irrigation is a major driver of India's agricultural growth. However, the government of India shifted its rural electrification focus towards universal household electrification starting early 2000s. Using a newly constructed panel-dataset spanning three decades, we find that districts electrifying after the policy change experience much lower gains in electrified groundwater irrigation. On average, electrifying 100 additional rural households is associated with an increase of two additional electrified wells among newly electrified districts - eight times lower compared to 16 electrified wells per 100 electrified households among districts electrified pre-policy change. Our estimates imply that newly electrified districts would have witnessed nearly 20% more irrigated cropland in the dry season if rural electrification policy priorities had not shifted away from agriculture. These results highlight the need to complement household electrification with powering income-generating sectors of the rural economy.
RESUMO
BACKGROUND: Positron emission tomography-computed tomography (PET-CT) scan utilizes 18-fluorodeoxyglucose (18-FDG), based on the principle of higher glycolytic activity and reduced glucose-6-phosphatase levels in cancer cells. This imaging modality is usually advised in the metastatic evaluation of stage III breast cancer patients. The correlation of maximum standard uptake values of primary lesion with different pathological and molecular markers has not been studied extensively. METHODS: Retrospective analysis of the data was performed from our prospectively maintained breast cancer database. All the patients who had undergone 18-FDG PET-CT scan at initial evaluation for staging between June 2017 and April 2020 were included in the study. One-way ANOVA test or Student's t-test as appropriate was performed to assess the difference of means in maximum standard uptake values (SUVmax) of the primary lesion and axillary nodes with clinical stage, histological grade, molecular subtype. Bonferroni post hoc test was also applied. RESULTS: Out of 388 patients in the breast cancer database, 45 patients met inclusion criteria. There was a significant correlation of molecular subtype (p = 0.029) with SUVmax of the primary lesion. Higher primary SUVmax was associated with higher T stage (p = 0.01) and higher histological grade (p = 0.06). In each molecular subtype, there was an increase in mean SUVmax of the primary lesion with increasing histological grade and vice versa. CONCLUSIONS: SUVmax of the primary lesion in breast cancer patients reflects tumor biology. Higher SUVmax can predict patients with triple-negative breast cancers and higher grades in primary tumors. However, further large-scale validatory studies are essential.
