Indiana State University is a public university located in Terre Haute, Indiana, United States.The Princeton Review has named Indiana State as one of the "Best in the Midwest" 11 years running, U.S. News & World Report classifies Indiana State University as a tier 2 national university. The current Carnegie classification for ISU is Doctoral/Research University. Washington Monthly ranks Indiana State University #30 overall among national universities, #1 in community service by students, and #3 in service learning. Princeton Review has selected Indiana State University as one of the 322 most environmentally responsible "Green" colleges in the U.S. and Canada. Both the Princeton Review and US News recognize the ISU Scott College of Business as one of the top business schools in the nation. Also, ISU is a consistent member of the U.S. President's Higher Education Community Service Honor Roll and has been named the nation's Non-profit Leadership Campus of the Year.Indiana State University is accredited by the Higher Learning Commission of the North Central Association of Colleges and Schools. ISU is also included in Carnegie's new Curricular Engagement and Outreach & Partnerships category that recognizes substantial commitments to both an academic approach to mutually beneficial and respectful community collaboration and extensive outreach and partnerships.Indiana State offers 100+ majors, notably aviation, education, business, criminology, finance, insurance and risk management, music, nursing, athletic training, physical & occupational therapy, and construction technology; the university's graduate education, biological science, financial services, fine arts, school of music, nursing, clinical psychology, public affairs, physical therapy, physician studies, speech/language pathology programs are nationally recognized.Indiana State is a diverse university, with 3.8% of students attending as international students and 19.5% of students belonging to a minority. Of the 19.5% minority students, 75.4% are African American, 8.3% are multiracial, 8.3 percent are Hispanic and Latino American, 5.8 percent are Asian American, and 2.1 percent are Native American.Indiana State is the first public university in Indiana to require incoming freshmen to have a laptop. ISU offers Lenovo Thinkpad T430u laptops to incoming freshmen with high school GPAs of 3.0 or higher as part of its Laptop Initiative.ISU is a member of the College Consortium of Western Indiana. This membership allows students who are full-time at their home institution to take classes at the other member institutions of Rose-Hulman Institute of Technology and Saint Mary-of-the-Woods College. Wikipedia.
Zhang G.P.,Indiana State University
Physical Review B - Condensed Matter and Materials Physics | Year: 2012
Conventional pump-probe experiments are very powerful to time-resolve ultrafast spin dynamics in ferromagnetic metals. Recently, a question is raised how the spin and polarization changes differ from those induced by a single pump. Here, we show that the difference is not intrinsic and depends on the laser pulses themselves. If the laser pulse duration is as short as ten femtoseconds, the difference in polarization is very small, at least within the single-particle approximation. However, if the laser pulses are long, the difference becomes much more pronounced, and it also depends on the time delay between the pump and probe. This difference directly results from the fact that the same laser frequencies are used for both pump and probe pulses and the same portion of electronic states are excited. If pump and probe pulses are detuned slightly away from each other, the difference in the polarization disappears. Different from the polarization, the spin moment change is almost immune to different excitation conditions whether it is from one pump pulse or two pulses (pump and probe). This finding finally clarifies the effect of the number of laser pulses on polarization and spin moment changes in femtosecond magnetism. © 2012 American Physical Society.
Carr J.M.,Indiana State University
Proceedings. Biological sciences / The Royal Society | Year: 2013
Many birds use regulated drops in night-time body temperature (Tb) to conserve energy critical to winter survival. However, a significant degree of hypothermia may limit a bird's ability to respond to predatory attack. Despite this likely energy-predation trade-off, the behavioural costs of avian hypothermia have yet to be examined. We thus monitored the nocturnal hypothermia of mourning doves (Zenaida macroura) in a laboratory setting in response to food deprivation. Nocturnal flight tests were used to quantify the flight ability of hypothermic doves. Many hypothermic doves (39% of tests) could not fly while carrying a small weight, but could do so after quickly warming up to typical daytime Tb. Doves that were unable to fly during their first test were more hypothermic than those that could fly, with average Tb reductions of 5.3°C and 3.3°C, respectively, but there was no overall indication of a threshold Tb reduction beyond which doves were consistently incapable of flight. These results suggest that energy-saving hypothermia interferes with avian antipredator behaviour via a reduction in flight ability, likely leading to a trade-off between energy-saving hypothermia and the risk of predation.
Liu H.,Old Dominion University |
Weng Q.,Indiana State University
Remote Sensing of Environment | Year: 2012
Although remotely sensed data have been used in public health studies, these studies are often limited by the critical choice that has to be made in data selection: either using data with high spatial but low temporal resolution, or data with high temporal but low spatial resolution. This choice creates significant limitations for time-dependent epidemiological studies, since it is often essential to have datasets with high spatial and temporal resolution. Effectively synthesizing high temporal resolution imagery with high spatial resolution imagery can potentially ease this limitation. To this end, we conducted an experiment by creating a series of simulated ASTER datasets by fusing ASTER and MODIS data with the STARFM image fusion model. These simulated datasets are then used to derive the following urban environmental variables: normalized difference vegetation index, normalized difference water index, and land surface temperature. These variables are used to quantitatively examine the effects of urban environmental characteristics on West Nile Virus dissemination in Los Angeles County, California, where the epidemic was most prevalent in the United States in 2007. Mosquito surveillance data were collected from the weekly summary reports published in the California West Nile Virus website. A spatial-temporal analysis of WNV dissemination was conducted by synthesizing remote sensing variables and mosquito surveillance records. We focused on assessment of WNV risk areas in July through September due to data sufficiency of tested-positive mosquito pools. Moderate- and high-risk areas of WNV infections in mosquitoes were identified for five selected time windows, i.e., epidemiological weeks 30-31, 32-33, 34-35, 36-37, and 38-39. The results show that elevation and urban built-up conditions were negatively associated with the WNV propagation, while LST positively correlated with viral transmission. NDVI was not significantly associated with WNV transmission during the studied time intervals. San Fernando Valley was found to be the most vulnerable to mosquito infections of WNV within the City of Los Angeles. With the complementation of high-spatial resolution ASTER and high-temporal resolution MODIS images, the fused image datasets allow for estimating environmental parameters at desired epidemiological weeks. This paper provides important insights into how high temporal resolution remote sensing imagery might be used to study time-dependant events in public health, especially in the operational surveillance and control of vector-borne or other epidemic diseases. © 2011.
Weng Q.,Indiana State University
Remote Sensing of Environment | Year: 2012
The knowledge of impervious surfaces, especially the magnitude, location, geometry, spatial pattern of impervious surfaces and the perviousness-imperviousness ratio, is significant to a range of issues and themes in environmental science central to global environmental change and human-environment interactions. Impervious surface data is important for urban planning and environmental and resources management. Therefore, remote sensing of impervious surfaces in the urban areas has recently attracted unprecedented attention. In this paper, various digital remote sensing approaches to extract and estimate impervious surfaces will be examined. Discussions will focus on the mapping requirements of urban impervious surfaces. In particular, the impacts of spatial, geometric, spectral, and temporal resolutions on the estimation and mapping will be addressed, so will be the selection of an appropriate estimation method based on remotely sensed data characteristics. This literature review suggests that major approaches over the past decade include pixel-based (image classification, regression, etc.), sub-pixel based (linear spectral unmixing, imperviousness as the complement of vegetation fraction etc.), object-oriented algorithms, and artificial neural networks. Techniques, such as data/image fusion, expert systems, and contextual classification methods, have also been explored. The majority of research efforts have been made for mapping urban landscapes at various scales and on the spatial resolution requirements of such mapping. In contrast, there is less interest in spectral and geometric properties of impervious surfaces. More researches are also needed to better understand temporal resolution, change and evolution of impervious surfaces over time, and temporal requirements for urban mapping. It is suggested that the models, methods, and image analysis algorithms in urban remote sensing have been largely developed for the imagery of medium resolution (10-100. m). The advent of high spatial resolution satellite images, spaceborne hyperspectral images, and LiDAR data is stimulating new research idea, and is driving the future research trends with new models and algorithms. © 2011 Elsevier Inc.
Munoz M.M.,Harvard University |
Munoz M.M.,Indiana State University
Proceedings. Biological sciences / The Royal Society | Year: 2014
Understanding how quickly physiological traits evolve is a topic of great interest, particularly in the context of how organisms can adapt in response to climate warming. Adjustment to novel thermal habitats may occur either through behavioural adjustments, physiological adaptation or both. Here, we test whether rates of evolution differ among physiological traits in the cybotoids, a clade of tropical Anolis lizards distributed in markedly different thermal environments on the Caribbean island of Hispaniola. We find that cold tolerance evolves considerably faster than heat tolerance, a difference that results because behavioural thermoregulation more effectively shields these organisms from selection on upper than lower temperature tolerances. Specifically, because lizards in very different environments behaviourally thermoregulate during the day to similar body temperatures, divergent selection on body temperature and heat tolerance is precluded, whereas night-time temperatures can only be partially buffered by behaviour, thereby exposing organisms to selection on cold tolerance. We discuss how exposure to selection on physiology influences divergence among tropical organisms and its implications for adaptive evolutionary response to climate warming.