Rural Employment and Income: The Inter-household Variations in Punjab

The employment pattern and income sources have been reported in the rural areas of Punjab, based on the primary data collected from 315 rural households. The results have revealed a negative relationship between employment diversification and size of landholding. Distress nature of the rural labour markets has induced casualization of work in the absence of land for cultivation. A majority of the households have been found dependent on multiple sources of income, further confirming the distress nature of these income sources. The dependence on non-farm sector as a major source of income has revealed a negative relationship with the land-size. More than two-thirds (66.9%) of the non-cultivating households have non-farm sector as the major source of their income. The results have further revealed the inability of an average non-cultivating and marginal or small cultivating household to achieve the overall average income of a rural household. The rural household income has been found to follow a highly skewed distribution. The incomes from crops and dairying have been observed highly unequally distributed, perhaps due to their strong association with the size of landholding. On the other hand, rural non-farm income distribution seems to be least skewed.Community/Rural/Urban Development,

Causes and Impact of Labour Migration: A Case Study of Punjab Agriculture

In Punjab, the influx of migrant labour particularly in agriculture sector started with the green revolution and picked up subsequently. Due to monoculture in the cropping pattern, the state has become largely dependent on migrant labourers for various agricultural operations. The influx of seasonal as well as permanent labour from outside has led to various socio-economic problems in Punjab. In the wake of this, the present study was purposively conducted in the Central Zone of Punjab for the year 2011 to find the causes and impact of labour in-migration in Punjab. A total of 105 respondents belonging to the states of Bihar, Uttar Pradesh, Jharkhand, Madhya Pradesh and Nepal constituted the sample frame. The results have revealed that better income and employment opportunities at the destination place were the major factors responsible for migration. About 64 per cent of the respondents earned less than ` 20000 per annum at their native places and 60 per cent of them had less than 200 days of employment in a year, whereas 23 per cent of the labourers were unemployed at their native place. However, after migration 63 per cent of the migrants could earn from ` 20000 to ` 50000 per annum and 34 per cent earned more than ` 50000 per annum in Punjab, leading to a major share (60% of total income) as remittances sent back to their native places. On the other hand, the flip side of the influx of migrants in the study area increased the drug menace by 37 per cent, social tension by 45 per cent and crime by 43 per cent. The state government should maintain a demographic balance by regulating the migrants and should help in verification of credentials of migrating labourers to Punjab.Labour migration, Long-term migration, Short-term migration, Remittances, In-migration, Agricultural and Food Policy, J61, J62, R23,

Decoherence in trapped ions due to polarization of the residual background gas

We investigate the mechanism of damping and heating of trapped ions associated with the polarization of the residual background gas induced by the oscillating ions themselves. Reasoning by analogy with the physics of surface electrons in liquid helium, we demonstrate that the decay of Rabi oscillations observed in experiments on 9Be+ can be attributed to the polarization phenomena investigated here. The measured sensitivity of the damping of Rabi oscillations with respect to the vibrational quantum number of a trapped ion is also predicted in our polarization model.Comment: 26 pdf pages with 5 figures, http://www.df.ufscar.br/~quantum

Comprehensive analysis of epigenetic clocks reveals associations between disproportionate biological ageing and hippocampal volume

The concept of age acceleration, the difference between biological age and chronological age, is of growing interest, particularly with respect to age-related disorders, such as Alzheimer’s Disease (AD). Whilst studies have reported associations with AD risk and related phenotypes, there remains a lack of consensus on these associations. Here we aimed to comprehensively investigate the relationship between five recognised measures of age acceleration, based on DNA methylation patterns (DNAm age), and cross-sectional and longitudinal cognition and AD-related neuroimaging phenotypes (volumetric MRI and Amyloid-β PET) in the Australian Imaging, Biomarkers and Lifestyle (AIBL) and the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Significant associations were observed between age acceleration using the Hannum epigenetic clock and cross-sectional hippocampal volume in AIBL and replicated in ADNI. In AIBL, several other findings were observed cross-sectionally, including a significant association between hippocampal volume and the Hannum and Phenoage epigenetic clocks. Further, significant associations were also observed between hippocampal volume and the Zhang and Phenoage epigenetic clocks within Amyloid-β positive individuals. However, these were not validated within the ADNI cohort. No associations between age acceleration and other Alzheimer’s disease-related phenotypes, including measures of cognition or brain Amyloid-β burden, were observed, and there was no association with longitudinal change in any phenotype. This study presents a link between age acceleration, as determined using DNA methylation, and hippocampal volume that was statistically significant across two highly characterised cohorts. The results presented in this study contribute to a growing literature that supports the role of epigenetic modifications in ageing and AD-related phenotypes

Tracking development assistance for health and for COVID-19 : a review of development assistance, government, out-of-pocket, and other private spending on health for 204 countries and territories, 1990-2050

Background The rapid spread of COVID-19 renewed the focus on how health systems across the globe are financed, especially during public health emergencies. Development assistance is an important source of health financing in many low-income countries, yet little is known about how much of this funding was disbursed for COVID-19. We aimed to put development assistance for health for COVID-19 in the context of broader trends in global health financing, and to estimate total health spending from 1995 to 2050 and development assistance for COVID-19 in 2020. Methods We estimated domestic health spending and development assistance for health to generate total health-sector spending estimates for 204 countries and territories. We leveraged data from the WHO Global Health Expenditure Database to produce estimates of domestic health spending. To generate estimates for development assistance for health, we relied on project-level disbursement data from the major international development agencies' online databases and annual financial statements and reports for information on income sources. To adjust our estimates for 2020 to include disbursements related to COVID-19, we extracted project data on commitments and disbursements from a broader set of databases (because not all of the data sources used to estimate the historical series extend to 2020), including the UN Office of Humanitarian Assistance Financial Tracking Service and the International Aid Transparency Initiative. We reported all the historic and future spending estimates in inflation-adjusted 2020 US$, 2020 US$ per capita, purchasing-power parity-adjusted US$per capita, and as a proportion of gross domestic product. We used various models to generate future health spending to 2050. Findings In 2019, health spending globally reached$8. 8 trillion (95% uncertainty interval [UI] 8.7-8.8) or $1132 (1119-1143) per person. Spending on health varied within and across income groups and geographical regions. Of this total,$40.4 billion (0.5%, 95% UI 0.5-0.5) was development assistance for health provided to low-income and middle-income countries, which made up 24.6% (UI 24.0-25.1) of total spending in low-income countries. We estimate that $54.8 billion in development assistance for health was disbursed in 2020. Of this,$13.7 billion was targeted toward the COVID-19 health response. $12.3 billion was newly committed and$1.4 billion was repurposed from existing health projects. $3.1 billion (22.4$2.4 billion (17.9%) was for supply chain and logistics. Only $714.4 million (7.7$1519 (1448-1591) per person in 2050, although spending across countries is expected to remain varied. Interpretation Global health spending is expected to continue to grow, but remain unequally distributed between countries. We estimate that development organisations substantially increased the amount of development assistance for health provided in 2020. Continued efforts are needed to raise sufficient resources to mitigate the pandemic for the most vulnerable, and to help curtail the pandemic for all. Copyright (C) 2021 The Author(s). Published by Elsevier Ltd.Peer reviewe

Search for leptophobic Z ' bosons decaying into four-lepton final states in proton-proton collisions at root s=8 TeV

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Search for black holes and other new phenomena in high-multiplicity final states in proton-proton collisions at root s=13 TeV

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Measurements of differential production cross sections for a Z boson in association with jets in pp collisions at root s=8 TeV

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Search for high-mass diphoton resonances in proton-proton collisions at 13 TeV and combination with 8 TeV search

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Search for heavy resonances decaying into a vector boson and a Higgs boson in final states with charged leptons, neutrinos, and b quarks

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