Orbiting multi-beam microwave radiometer for soil moisture remote sensing

The effects of soil moisture and other factors on soil surface emissivity are reviewed and design concepts for a multibeam microwave radiometer with a 15 m antenna are described. Characteristic antenna gain and radiation patterns are shown and losses due to reflector roughness are estimated

Nonlinear displacement analysis of advanced propeller structures using NASTRAN

The steady state displacements of a rotating advanced turboprop are computed using the geometrically nonlinear capabilities of COSMIC NASTRAN Rigid Format 4 and MSC NASTRAN Solution 64. A description of the modified Newton-Raphson algorithm used by Solution 64 and the iterative scheme used by Rigid Format 4 is provided. A representative advanced turboprop, SR3, was used for the study. Displacements for SR3 are computed for rotational speeds up to 10,000 rpm. The results show Solution 64 to be superior for computating displacements of flexible rotating structures. This is attributed to its ability to update the displacement dependent centrifugal force during the solution process

Brady Statute Data: Adjudicated Mental Defectives and Involuntary Mental Commitments

Currently, Alaska law enforcement agencies do not obtain data on four noncriminal categories prohibited by the Brady Handgun Violence Prevention Act of 1993 from obtaining firearms. This, the first of four reports on these categories, describes how adjudicated mental defectives and involuntary mental commitments can be identified within an Alaska context and discusses possible procedures, problems, and solutions associated with data collection. The report discussed federal statutory definitions of the terms adjudicated as a mental defective, committed to a mental institution, and legal authority; compares these terms with those current in Alaska Statues and used by social service and mental health agencies in the state; and describes, in general, data held by federal, state, local, and private agencies in Alaska. At present, there is no clear or cost-effective way to create and maintain a database for either of the two categories with any accuracy: besides technical difficulties in getting different databases to "talk" to each other, records are not kept on mentally ill individuals, and even if they were, access would be prohibited in the face of federal and state laws regarding privacy.Bureau of Justice Statistics, United States Department of Justice Grant No. 96-RU-RX-K026Introduction / Adjudicated Mental Defectives / Involuntary Mental Commitments / References / Appendix A: Mental Health Commitments (Civil Commitments) / Appendix B: Forms USed in the Alaska Court System During the Involuntary Mental Commitment Proces

Brady Statute Data: Persons Who are Subject to a Court Order Restraining Them from Threatening or Committing Acts of Domestic Violence or Abuse

Currently, Alaska law enforcement agencies do not obtain data on four noncriminal categories prohibited by the Brady Handgun Violence Prevention Act of 1993 from obtaining firearms. This, the second of four reports on these categories, describes how persons subject to a domestic violence restraining order can be identified within an Alaska context and discusses possible procedures, problems, and solutions associated with data collection. The state is rapidly moving to the point where all individuals who meet the Brady definition for this category will be identified, the information housed in a separate database, and reported to federal agencies. AS 18.65.540 provides for a central registry of Domestic Violence Protective Orders, a product of the (state) Domestic Violence Prevention and Victim Protection Act of 1996.Bureau of Justice Statistics, United States Department of Justice Grant No. 96-RU-RX-K026Introduction / Background / Civil Protection Orders / Handgun Applications / New Policies / Conclusion / References / Appendix A: APSIN Screen

Brady Statute Data: Persons Who Are Illegally or Unlawfully in the United States

Currently, Alaska law enforcement agencies do not obtain data on four noncriminal categories prohibited by the Brady Handgun Violence Prevention Act of 1993 from obtaining firearms. This, the fourth of four reports on these categories, describes how undocumented immigrants who are unlawfully in the United States can be identified within an Alaska context and discusses possible procedures, problems, and solutions associated with data collection. It was found that the most feasibile means for obtaining information for the purposes of Brady background checks would be the Verification Information System (VIS) of the Immigration and Naturalization Service (INS). However, project researchers received no response from INS to inquiries about requirements of access to VIS.Bureau of Justice Statistics, United States Department of Justice. Grant No. 96-RU-RX-K026.Introduction / Background / Definitions / INS Records Availability / Determining an Individual's Classification for Brady / Verification Process / Conclusion / Appendix A: U.S. Immigration and Naturalization Service Guide to Commonly Used Documents Used to Identify Persons Eligible for Benefits Under the Immigration and Naturalization Act / Appendix B: U.S. Bureau of Alcohol, Tobacco and Firearms Statement of Intent to Obtain a Handgun(s

Brady Statute Data: Establishing Noncriminal Classifications for the Alaska Department of Public Safety

The Brady Handgun Violence Prevention Act of 1993 prohibits the purchase of firearms by persons in certain noncriminal categories. These reports describe potential data sources for the identification of mental committments, addicted substance abusers, illegal aliens, and persons who have been the subject of a domestic violence restraining order and discusses possible procedures, problems, and solutions associated with data collection for the purpose of Brady background checks. Lack of infrastructure for collecting certain types of data, incompleteness of information, and state constitutional protections, including the guarantee of privacy, are the chief obstacles to completely meeting the provisions of the Brady Act in Alaska.Bureau of Justice Statistics, United States Department of Justice Grant No. 96-RU-RX-K026Background / Needs and Benefits / Goals and Objectives / Project Design / Findings by Classification / Conclusio

The reduced order model problem in distributed parameter systems adaptive identification and control

The basic assumption that a large space structure can be decoupled preceding the application of reduced order active control was considered and alternative solutions to the control of such structures (in contrast to the strict modal control) were investigated. The transfer function matrix from the actuators to the sensors was deemed to be a reasonable candidate. More refined models from multivariable systems theory were studied and recent results in the multivariable control field were compared with respect to theoretical deficiencies and likely problems in application to large space structures

Brady Statute Data: Establishing Noncriminal Classifications for the Alaska Department of Public Safety—Executive Summary

The Brady Handgun Violence Prevention Act of 1993 prohibited the purchase of firearms by persons in certain noncriminal categories. This executive report summarizes study findings on potential data sources for the identification of mental committments, addicted substance abusers, noncitizens in the U.S. illegally or unlawfully, and persons who have been the subject of a domestic violence restraining order and briefly discusses possible procedures, problems, and solutions associated with data collection for the purpose of Brady background checks. Lack of infrastructure for collecting certain types of data, incompleteness of information, and state constitutional protections, including the guarantee of privacy, were the chief obstacles to completely meeting the provisions of the Brady Act in Alaska.Bureau of Justice Statistics, U.S.Department of Justice. Grant No. 96-RU-RX-K026Background / Needs and Benefits / Goals and Objectives / Project Design / Findings by Classification / Conclusio

Place effects on environmental views

How people respond to questions involving the environment depends partly on individual characteristics. Characteristics such as age, gender, education, and ideology constitute the well-studied social bases of environmental concern, which have been explained in terms of cohort effects or of cognitive and cultural factors related to social position. It seems likely that people\u27s environmental views depend not only on personal characteristics but also on their social and physical environments. This hypothesis has been more difficult to test, however. Using data from surveys in 19 rural U.S. counties, we apply mixed-effects modeling to investigate simple place effects with respect to locally focused environmental views. We find evidence for two kinds of place effects. Net of individual characteristics, specific place characteristics have the expected effect on related environmental views. Local changes are related to attitudes about regulation and growth. For example, respondents more often perceive rapid development as a problem, and favor environmental rules that restrict development, in rural counties with growing populations. Moreover, they favor conserving resources for the future rather than using them now to create jobs in counties that have low unemployment. After we controlled for county growth, unemployment and jobs in resource based industries, and individual social-position and ideological factors, there remains significant place-to-place variation in mean levels of environmental concern. Even with both kinds of place effects in the models, the individual level predictors of environmental concern follow patterns expected from previous research. Concern increases with education among Democrats, whereas among Republicans, the relationship is attenuated or reversed. The interaction marks reframing of environmental questions as political wedge issues, through nominally scientific counterarguments aimed at educated, ideologically receptive audiences. © 2010, by the Rural Sociological Society