A Neural Network Method for Efficient Vegetation Mapping

This paper describes the application of a neural network method designed to improve the efficiency of map production from remote sensing data. Specifically, the ARTMAP neural network produces vegetation maps of the Sierra National Forest, in Northern California, using Landsat Thematic Mapper (TM) data. In addition to spectral values, the data set includes terrain and location information for each pixel. The maps produced by ARTMAP are of comparable accuracy to maps produced by a currently used method, which requires expert knowledge of the area as well as extensive manual editing. In fact, once field observations of vegetation classes had been collected for selected sites, ARTMAP took only a few hours to accomplish a mapping task that had previously taken many months. The ARTMAP network features fast on-line learning, so the system can be updated incrementally when new field observations arrive, without the need for retraining on the entire data set. In addition to maps that identify lifeform and Calveg species, ARTMAP produces confidence maps, which indicate where errors are most likely to occur and which can, therefore, be used to guide map editing

A Comparison of X, Y, and Boomer Generation Wine Consumers in California

This research shows that the wine market in the California is segmented by age. The wine-consumption behavior of the California wine consumer differs between the Generation X consumer and those in Generation Y and Baby Boomers. There are differences in demographics, purchasing attitudes, and purchasing behaviors among wine consumers from different generations. The findings from this research demonstrate that it is increasingly important to develop marketing strategies that are segmented for the target wine consumer. Generation Y are young wine consumers who are especially important for the industry because they offer an opportunity for growth–these younger generations are developing tastes now that are likely to last as they age.Consumer/Household Economics,

A Neural Network Method for Mixture Estimation for Vegetation Mapping

While most forest maps identify only the dominant vegetation class in delineated stands, individual stands are often better characterized by a mix of vegetation types. Many land management applications, including wildlife habitat studies, can benefit from knowledge of mixes. This paper examines various algorithms that use data from the Landsat Thematic Mapper (TM) satellite to estimate mixtures of vegetation types within forest stands. Included in the study are maximum likelihood classification and linear mixture models as well as a new methodology based on the ARTMAP neural network. Two paradigms are considered: classification methods, which describe stand-level vegetation mixtures as mosaics of pixels, each identified with its primary vegetation class; and mixture methods, which treat samples as blends of vegetation, even at the pixel level. Comparative analysis of these mixture estimation methods, tested on data from the Plumas National Forest, yields the following conclusions: (1) accurate estimates of proportions of hardwood and conifer cover within stands can be obtained, particularly when brush is not present in the understory; (2) ARTMAP outperforms statistical methods and linear mixture models in both the classification and the mixture paradigms; (3) topographic correction fails to improve mapping accuracy; and (4) the new ARTMAP mixture system produces the most accurate overall results. The Plumas data set has been made available to other researchers for further development of new mapping methods and comparison with the quantitative studies presented here, which establish initial benchmark standards.National Science Foundation (IRI 94-0165, SBR 95-13889); Office of Naval Research (N00014-95-1-0409, N00014-95-0657); Region 5 Remote Sensing Laboratory of the U.S. Forest Servic

ALMA Observations of Circumstellar Disks in the Upper Scorpius OB Association

We present ALMA observations of 106 G-, K-, and M-type stars in the Upper Scorpius OB Association hosting circumstellar disks. With these data, we measure the 0.88 mm continuum and $^{12}$CO $J$ = 3$-$2 line fluxes of disks around low-mass ($0.14-1.66$ $M_{\odot}$) stars at an age of 5-11 Myr. Of the 75 primordial disks in the sample, 53 are detected in the dust continuum and 26 in CO. Of the 31 disks classified as debris/evolved transitional disks, 5 are detected in the continuum and none in CO. The lack of CO emission in approximately half of the disks with detected continuum emission can be explained if CO is optically thick but has a compact emitting area ($\lesssim 40$ au), or if the CO is heavily depleted by a factor of at least $\sim1000$ relative to interstellar medium abundances and is optically thin. The continuum measurements are used to estimate the dust mass of the disks. We find a correlation between disk dust mass and stellar host mass consistent with a power-law relation of $M_{\mathrm{dust}}\propto M_*^{1.67\pm0.37}$. Disk dust masses in Upper Sco are compared to those measured in the younger Taurus star-forming region to constrain the evolution of disk dust mass. We find that the difference in the mean of $\log(M_{\mathrm{dust}}/M_*)$ between Taurus and Upper Sco is $0.64\pm0.09$, such that $M_{\mathrm{dust}}/M_*$ is lower in Upper Sco by a factor of $\sim4.5$.Comment: 18 pages of text, 11 Figures, 5 Tables. Published in Ap

Driving Discovery: Do You Have the Keys to Fair Linking? (It’s About Knowledge and Library Control)

Do concerns about “fair” linking make you wonder about discovery services? It’s time to understand HOW linking works. In the end, the power is in your hands. But do you know it? And maximize it? If search engines are optimized to provide the best results, regardless of the source of the content, or the resource from which a record originated, the focus is on the full-text linking. How and why did the link appear? What is the user experience? Do users want to see multiple links to full text or do they just want to see the article ? How effective (accurate, simple) is the link resolver experience for your users? How can it be optimized? How can usage via the link resolver be tracked back to the source? What are the emerging standards? This session explores fears of bias, the approaches to take control of your discovery service through customization, and ways to maximize the user experience. It covers all views from the discovery vendor perspective, participating content partner perspective, an over-arching look from the standards perspective, as well as from a university perspective associated consortium having needs to allow for customization at multiple universities with differing needs/opinions

Comparison of straight and 15 degree vectored nozzles using a six component thrust stand

This project compared the forces and moments produced by straight and 15 degree vectored nozzles. Using the six component thrust stand in the engines laboratory at California Polytechnic State University, several trials were performed. This data was then reduced using first a computer program and then later an electronic spreadsheet. This reduced data was graphed and compared. As a result of these comparisons some unexpected forces were discovered. Several more tests were run including a zero thrust test and a statistical comparison were done to discover the source of these discrepancies. As a direct result several nozzle changes were made and significant revisions to the thrust stand are being made

How Traits of Emotional Intelligence Affect Perceived Stress in Entry-Level Doctor of Occupational Therapy Students

Purpose: Students in an entry-level Doctor of Occupational Therapy (OTD) programs are subject to high levels of stress and emotional burnout. Effective management of stress impacts life satisfaction and academic performance. Emotional intelligence (EI) has been shown to relate to lower stress levels in allied health students. Despite this, little has been done to investigate the emotional demands of an occupational therapy education. Methods: Participants were a convenience sample of 51 entry-level Doctor of Occupational Therapy Students recruited from the Southwest and Midwest cohorts of an OTD program. The participants were surveyed approximately 30 days after beginning their semester curriculum. Participants included 43 females and 8 males (n=51) with an age range of 21-36 years old. The sample was composed of 18 first-year (OT1) students, 17 second-year (OT2), and 16 third-year (OT3) students. A cross-sectional survey design was used, and the Assessing Emotions Scale and the Perceived Stress Scale questionnaires were both used to gather self-reported data regarding emotional intelligence and perceived stress. Emotional intelligence was correlated with perceived stress scores using the Spearman Rho analysis on SPSS program 25. Additionally, Kruskal Wallis analysis was used to determine if PSS and EI scores were significantly related to the year in the program. Mann Whitney U analysis was used to determine if PSS and EI scores were significantly related to gender. Results: A significant moderate negative correlation was found in this sample between emotional intelligence and perceived stress (rs= -0.391 with p= 0.005). There were no other significant relationships between variables. Conclusion: These findings have applications for developing educational programming and curriculum that may help equip Doctor of Occupational Therapy Students with the skills they need to thrive in their future profession. Additionally, opportunities exist for OTD students to increase EI and improve stress management levels and improve overall wellness