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June 1999 - The proportions of girls 'missing' rose sharply in these countries during times of war, famine, and fertility decline. Resulting shortages of wives improved the treatment of adult women without reducing discrimination against daughters or increasing women's autonomy. The latter goals can be reached only with fundamental changes in women's family position-changes that are taking place only slowly. Kinship systems in China, the Republic of Korea, and North India have similar features that generate discrimination against girls, and these countries have some of the highest proportions of girls 'missing' in the world. Das Gupta and Li document how the excess mortality of girls was increased by war, famine, and fertility decline-all of which constrained household resources-between 1920 and 1990. Of the three countries, China experienced the most crises during this period (with civil war, invasion, and famine). The resulting excess mortality of girls in China offset the demographic forces making for a surplus of wives as overall mortality rates declined. India had the quietest history during this period, and consequently followed the expected pattern of a growing surplus of available wives. These changes in sex ratios had substantial social ramifications. The authors hypothesize that these demographic factors: Encouraged the continuation of brideprice in China, while in India there was a shift to dowry; Influenced the extent and manifestations of violence against women. An oversupply of women is the worst scenario for women, as there are fewer constraints to domestic violence. A shortage of women leads to better treatment of wives, as people become more careful not to lose a wife. However in situations of shortage, a small proportion of women may be subject to new types of violence such as being kidnapped for marriage. Ironically, then, higher levels of discrimination against girls can help reduce violence against women. When women are in short supply, their treatment improves. But their autonomy can increase only with fundamental changes in their family position, changes that are taking place only slowly. This paper-a product of Poverty and Human Resources, Development Research Group-is part of a larger effort in the group to study social institutions and development outcomes. Monica Das Gupta may be contacted at mdasgupta@worldbank.org.
Center For Population --- Child Mortality --- Child Survival --- Discrimination --- Fertility --- Fertility Decline --- Gender --- Gender and Law --- Gender Bias --- Health, Nutrition and Population --- Law and Development --- Marriage --- National Level --- Number Of Births --- Population --- Population And Development --- Population Policies --- Population Research --- Poverty --- Resource Constraint --- Sex --- Sex Ratios --- Son Preference --- United Nations Population Fund --- War
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Politically active individuals and organizations make huge investments of time, energy, and money to influence everything from election outcomes to congressional subcommittee hearings to local school politics, while other groups and individual citizens seem woefully underrepresented in our political system. The Unheavenly Chorus is the most comprehensive and systematic examination of political voice in America ever undertaken--and its findings are sobering. The Unheavenly Chorus is the first book to look at the political participation of individual citizens alongside the political advocacy of thousands of organized interests--membership associations such as unions, professional associations, trade associations, and citizens groups, as well as organizations like corporations, hospitals, and universities. Drawing on numerous in-depth surveys of members of the public as well as the largest database of interest organizations ever created--representing more than thirty-five thousand organizations over a twenty-five-year period--this book conclusively demonstrates that American democracy is marred by deeply ingrained and persistent class-based political inequality. The well educated and affluent are active in many ways to make their voices heard, while the less advantaged are not. This book reveals how the political voices of organized interests are even less representative than those of individuals, how political advantage is handed down across generations, how recruitment to political activity perpetuates and exaggerates existing biases, how political voice on the Internet replicates these inequalities--and more. In a true democracy, the preferences and needs of all citizens deserve equal consideration. Yet equal consideration is only possible with equal citizen voice. The Unheavenly Chorus reveals how far we really are from the democratic ideal and how hard it would be to attain it.
Democracy --- Pressure groups --- Equality --- Political participation --- ANES panel studies. --- America. --- American civic culture. --- American democracy. --- Internet. --- Supreme Court decisions. --- Washington pressure community. --- Washington representation. --- advantaged. --- age groups. --- age. --- business interests. --- class bias. --- class differences. --- class inequalities. --- class inequality. --- cohort effects. --- creative participation. --- democracy. --- democratic dilemma. --- democratic governance. --- differential voice. --- disadvantaged. --- economic inequality. --- economic interests. --- educated parents. --- educational attainment. --- egalitarians. --- elections. --- electoral democracy. --- empirical analysis. --- equal consideration. --- equal political voice. --- equal voice. --- equality. --- family background. --- federal constitution. --- free rider problem. --- home politics. --- inequalities. --- life-cycle effects. --- material well-being. --- median voter model. --- national politics. --- nonvoters. --- organizational activity. --- organized interest activity. --- organized interest influence. --- organized interest politics. --- organized interest representation. --- organized interest system. --- organized interests. --- organized representation. --- parental education. --- participatory advantage. --- participatory inequalities. --- participatory patterns. --- policy benefits. --- political activism. --- political activity. --- political advantage. --- political conflict. --- political division. --- political inactivity. --- political inequality. --- political involvement. --- political organizations. --- political outcomes. --- political participation. --- political polarization. --- political processes. --- political recruitment. --- political voice. --- pressure community. --- pressure politics. --- pressure system. --- public officials. --- public opinion. --- public policy. --- rational prospecting. --- resource constraint. --- resource constraints. --- resource deprived. --- resource disadvantaged. --- social class. --- social processes. --- socio-economic status. --- socio-economic stratification. --- state constitutions. --- strategic considerations. --- survey data. --- surveys. --- systematic empirical data. --- trade-offs. --- unequal political voice. --- union membership. --- voluntary associations. --- voters. --- voting power. --- voting strength. --- voting. --- websites.
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Agriculture, as the main source of alimentation and the most important economic activity globally, is being affected by the impacts of climate change. To maintain and increase our global food system production, to reduce biodiversity loss and preserve our natural ecosystem, new practices and technologies are required. This book focuses on the latest advances in remote sensing technology and agricultural engineering leading to the sustainable agriculture practices. Earth observation data, in situ and proxy-remote sensing data are the main source of information for monitoring and analyzing agriculture activities. Particular attention is given to earth observation satellites and the Internet of Things for data collection, to multispectral and hyperspectral data analysis using machine learning and deep learning, to WebGIS and the Internet of Things for sharing and publishing the results, among others.
Research & information: general --- Geography --- geographic information system (GIS) --- pocket beaches --- coastal management --- Interreg --- climate change --- remote sensing --- drone --- Sicily --- Malta --- Gozo --- Comino --- systematic literature review --- anomaly intrusion detection --- deep learning --- IoT --- resource constraint --- IDS --- evapotranspiration --- penman-monteith equation --- artificial neural network --- canopy conductance --- Ziz basin --- water quality --- satellite image analysis --- modeling approach --- nitrate --- dissolved oxygen --- chlorophyll a --- time series analysis --- environmental monitoring --- water extraction --- modified normalized difference water index (MNDWI) --- machine learning algorithm --- hyperspectral --- proximal sensing --- panicle initiation --- normalized difference vegetation index (NDVI) --- green ring --- internode-elongation --- Sentinel 1 and 2 --- Copernicus Sentinels --- crop classification --- food security --- agricultural monitoring --- data analysis --- SAR --- random forest --- 3D bale wrapping method --- equal bale dimensions --- mathematical model --- minimal film consumption --- optimal bale dimensions --- round bales --- Sentinel-2 --- SVM --- RF --- Boufakrane River watershed --- irrigation requirements --- water resources --- sustainable land use --- agriculture --- invasive plants --- precision agriculture --- rice farming --- site-specific weed management --- nitrogen prediction --- 1D convolution neural networks --- cucumber --- crop yield improvement --- mango leaf --- CCA --- vein pattern --- leaf disease --- cubic SVM --- chlorophyll-a concentration --- transfer learning --- overfitting --- data augmentation --- guava disease --- plant disease detection --- crops diseases --- entropy --- features fusion --- machine learning --- object-based classification --- density estimation --- histogram --- land use --- crop fields --- soil tillage --- data fusion --- multispectral --- sensor --- probe --- temperature profile --- forest roads --- simulation --- autonomous robots --- smart agriculture --- environmental protection --- photogrammetry --- path planning --- internet of things --- modeling --- convolutional neural networks --- machine vision --- computer vision --- modular robot --- selective spraying --- vision-based crop and weed detection --- Faster R-CNN --- YOLOv5 --- band selection --- CNN --- NDVI --- hyperspectral imaging --- crops --- urban flood --- Sentinel-1a --- Synthetic Aperture Radar (SAR) --- 3D Convolutional Neural Network --- multi-temporal data --- land use classification --- GIS --- Coatzacoalcos --- algorithms --- clustering --- pest control --- site-specific --- virtual pests --- rice plant --- weed --- hyperspectral imagery --- sustainable agriculture --- green technologies --- Internet of Things --- natural resources --- sustainable environment --- IoT ecosystem --- hyperspectral remoting sensing --- crop mapping --- image classification --- deep transfer learning --- hyperparameter optimization --- metaheuristic --- soil attribute --- ordinary Kriging --- rational sampling numbers --- spatial heterogeneity --- sampling --- soil pH --- spatial variation --- ordinary kriging --- Land Use/Land Cover --- LISS-III --- Landsat --- Vision Transformer --- Bidirectional long-short term memory --- Google Earth Engine --- Explainable Artificial Intelligence
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Agriculture, as the main source of alimentation and the most important economic activity globally, is being affected by the impacts of climate change. To maintain and increase our global food system production, to reduce biodiversity loss and preserve our natural ecosystem, new practices and technologies are required. This book focuses on the latest advances in remote sensing technology and agricultural engineering leading to the sustainable agriculture practices. Earth observation data, in situ and proxy-remote sensing data are the main source of information for monitoring and analyzing agriculture activities. Particular attention is given to earth observation satellites and the Internet of Things for data collection, to multispectral and hyperspectral data analysis using machine learning and deep learning, to WebGIS and the Internet of Things for sharing and publication of the results, among others.
Research & information: general --- Geography --- geographic information system (GIS) --- pocket beaches --- coastal management --- Interreg --- climate change --- remote sensing --- drone --- Sicily --- Malta --- Gozo --- Comino --- systematic literature review --- anomaly intrusion detection --- deep learning --- IoT --- resource constraint --- IDS --- evapotranspiration --- penman-monteith equation --- artificial neural network --- canopy conductance --- Ziz basin --- water quality --- satellite image analysis --- modeling approach --- nitrate --- dissolved oxygen --- chlorophyll a --- time series analysis --- environmental monitoring --- water extraction --- modified normalized difference water index (MNDWI) --- machine learning algorithm --- hyperspectral --- proximal sensing --- panicle initiation --- normalized difference vegetation index (NDVI) --- green ring --- internode-elongation --- Sentinel 1 and 2 --- Copernicus Sentinels --- crop classification --- food security --- agricultural monitoring --- data analysis --- SAR --- random forest --- 3D bale wrapping method --- equal bale dimensions --- mathematical model --- minimal film consumption --- optimal bale dimensions --- round bales --- Sentinel-2 --- SVM --- RF --- Boufakrane River watershed --- irrigation requirements --- water resources --- sustainable land use --- agriculture --- invasive plants --- precision agriculture --- rice farming --- site-specific weed management --- nitrogen prediction --- 1D convolution neural networks --- cucumber --- crop yield improvement --- mango leaf --- CCA --- vein pattern --- leaf disease --- cubic SVM --- chlorophyll-a concentration --- transfer learning --- overfitting --- data augmentation --- guava disease --- plant disease detection --- crops diseases --- entropy --- features fusion --- machine learning --- object-based classification --- density estimation --- histogram --- land use --- crop fields --- soil tillage --- data fusion --- multispectral --- sensor --- probe --- temperature profile --- forest roads --- simulation --- autonomous robots --- smart agriculture --- environmental protection --- photogrammetry --- path planning --- internet of things --- modeling --- convolutional neural networks --- machine vision --- computer vision --- modular robot --- selective spraying --- vision-based crop and weed detection --- Faster R-CNN --- YOLOv5 --- band selection --- CNN --- NDVI --- hyperspectral imaging --- crops --- urban flood --- Sentinel-1a --- Synthetic Aperture Radar (SAR) --- 3D Convolutional Neural Network --- multi-temporal data --- land use classification --- GIS --- Coatzacoalcos --- algorithms --- clustering --- pest control --- site-specific --- virtual pests --- rice plant --- weed --- hyperspectral imagery --- sustainable agriculture --- green technologies --- Internet of Things --- natural resources --- sustainable environment --- IoT ecosystem --- hyperspectral remoting sensing --- crop mapping --- image classification --- deep transfer learning --- hyperparameter optimization --- metaheuristic --- soil attribute --- ordinary Kriging --- rational sampling numbers --- spatial heterogeneity --- sampling --- soil pH --- spatial variation --- ordinary kriging --- Land Use/Land Cover --- LISS-III --- Landsat --- Vision Transformer --- Bidirectional long-short term memory --- Google Earth Engine --- Explainable Artificial Intelligence
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