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Includes bibliographical references and index ; v. 1. [Summary] -- v. 2. Technical report -- v. 3. Documentation on the government's global sectoral models : the government's "global model." ; Mode of access: Internet.

Open burning is often used to remove crop residue during the harvest season. Despite a series of regulations by the Chinese government, the open burning of crop residue still frequently occurs in China, and the monitoring and forecasting crop fires have become a topic of active research. In this paper, crop fires in Northeastern China were forecasted using an artificial neural network (ANN) based on moderate-resolution imaging spectroradiometer (MODIS) satellite fire data from 2013–2020. Both natural factors (meteorological, soil moisture content, harvest date) and anthropogenic factors were considered. The model's forecasting accuracy under natural factors reached 77.01% during 2013–2017. When considering the influence of anthropogenic management and control policies, such as the straw open burning prohibition areas in Jilin Province, the accuracy of the forecast results for 2020 was reduced to 60%. Although the forecasting accuracy was lower than for natural factors, the relative error between the observed fire points and the back propagation neural network (BPNN) forecasting results was acceptable. In terms of influencing factors, air pressure, the change in soil moisture content in a 24 h period and the daily soil moisture content were significantly correlated with open burning. The results of this study improve our ability to forecast agricultural fires and provide a scientific framework for regional prevention and control of crop residue burning.

Recently, we proposed an original statistical model for forecasting general elections in the United Kingdom, based on the observation of a few key indicators of the political & economic system. That vote function model was tested against the results of the 2001 general election. Here we evaluate the results of that test, & offer an appropriately revised model for the forecasting of the upcoming 2005 general election. According to our forecast, a Labor victory appears the most likely outcome. 2 Tables, 8 References. Adapted from the source document.

The idea of the earth as a vessel in space came of age in an era shaped by space travel and the Cold War. Höhler's study brings together technology, science and ecology to explore the way this latter-day ark was invoked by politicians, environmentalists, cultural historians, writers of science fiction and many others across three decades

Intro -- THE RATCHET OF SCIENCE: CURIOSITY KILLED THE CAT -- Library of Congress Cataloging-in-Publication Data -- CONTENTS -- ACKNOWLEDGMENTS -- FOREWORD -- INTRODUCTION -- Chapter I: PUGWASH AND BOMBMAKING -- BOMBMAKING -- Chapter II: HISTORICAL BACKGROUND -- THE RENAISSANCE 16TH- 17THCENTURIES -- WHO WERE THE INVENTORS OF MACHINES AND ENGINES? -- DETERMINATION OF THE LATITUDE AND LONGITUDE -- ELECTRICITY -- POWER -- MATERIALS DERIVED FROM SCIENCE -- SCIENCE AND FOOD - THE GREEN REVOLUTION -- OBSERVATIONS DIFFICULT TO UNDERSTAND - TECTONICS -- CHINESE INVENTIONS -- EXPLOSIVES -- DISSEMINATION OF KNOWLEDGE -- HISTORY OF THE COMPUTER -- Chapter III: HUMAN NATURE -- HUMAN NATURE AND SCIENCE -- THE PLASTICITY OF THE BRAIN -- Chapter IV: BRAVE NEW WORLD -- 1984 HUXLEY AND ORWELL -- SURVEILLANCE AND CONTROL OF INDIVIDUALS BY THE STATE -- THE HUMAN GENOME -- SOCIETY AND SOCIAL MEDIA -- SOME CIVILIAN CONSEQUENCES OF SCIENCE -- THE FRIENDLY ATOM -- Chapter V: MEDICAL SCIENCE -- ORGAN TRANSPLANTATION -- GENETIC ENGINEERING AND STEM CELL THERAPIES -- STEM CELLS -- Chapter VI: DISREGARD OF THE SANCTITY AND VALUE OF LIFE -- LONERS AND CULTS -- Chapter VII: THE SKY IS THE LIMIT: ROCKETS AND COSMOLOGY -- NEW WEAPONS OF WAR AND HOW WE MIGHT LEARN TO CONTROL THEM -- VIRUS WEAPONS -- Chapter VIII: THE NEXT PHASE -- 3-D PRINTING -- DRONES -- CYBER WARFARE AND CYBER TERRORISM -- COMPUTER VIRUSES -- CODA -- GLOSSARY -- INTRODUCTION -- CHAPTER 1 -- CHAPTER II -- CHAPTER III -- CHAPTER IV -- CHAPTER V -- CHAPTER VI -- CHAPTER VII -- CHAPTER VIII -- AUTHOR CONTACT INFORMATION -- INDEX.

Abstract
Traditional ways of reading nature's clues to figure out impending weather are widely practiced in many rural societies in the world. They have been, however, often discounted by a western science-based meteorological forecasting system, although they are important sociocultural tools for mitigating climatic risks. This paper concerns two thematic issues: traditional knowledge about reading nature's clues to figure out impending weather; and the transformation of that knowledge in the changing context of livelihood, the intervention of modern education, and use of modern weather forecasting technology. This study was carried out at Kirtipur of the Kathmandu Valley, Nepal, between 2011 and 2021. Information was collected through key informant interviews, observation, and informal discussion and survey. The findings reveal that the traditional weather forecasting system is closely intertwined with climatic phenomena, traditional agriculture practices, the local landscape, myths, and beliefs. The recognition of farmers' knowledge on weather forecasting should be a resource of a great potential value. However, rapid expansion of the market economy, access to modern technology, affordability, access to modern education, and anthropogenic climate change have gradually detached people from their farmlands, traditional livelihoods, and occupations. All of this seems to have weakened social interaction between generations as well as their attachment to nature. Last, we conclude that the production and consumption of weather forecasting knowledge need local and scientific communities to work together to reduce knowledge gaps.

Significance Statement
The purpose of this study is to understand how farmers read nature to figure out impending weather, even as such knowledge is gradually weakening with the expansion of new technology, the intervention of modern education, the shift from farming-based to nonfarming activities for livelihood, and climate change. In such a context, the survival of traditional weather forecasting knowledge may seem uncertain. Our study reveals that traditional weather forecasting knowledge is rooted in the local landscape and subsistence farming culture. Therefore, the production and consumption of weather forecasting knowledge need local and scientific communities to work together to reduce knowledge gaps and recognize the contributions of both types of knowledge.