Sensitive species and natural communities known to occur on the Picket Wire Canyonlands, Comanche National Grassland, Colorado

November 15, 1995.Christopher A. Pague ... [et al.]

The Art and Science of Weed Mapping

Land managers need cost-effective and informative tools for non-native plant species management. Many local, state, and federal agencies adopted mapping systems designed to collect comparable data for the early detection and monitoring of non-native species. We compared mapping information to statistically rigorous, plot-based methods to better understand the benefits and compatibility of the two techniques. Mapping non-native species locations provided a species list, associated species distributions, and infested area for subjectively selected survey sites. The value of this information may be compromised by crude estimates of cover and incomplete or biased estimations of species distributions. Incorporating plot-based assessments guided by a stratified-random sample design provided a less biased description of non-native species distributions and increased the comparability of data over time and across regions for the inventory, monitoring, and management of non-native and native plant species

Significance of Soil Lightness Versus Physicochemical Soil Properties in Semiarid Areas

This is an author's accepted manuscript of an article published in " Arid Land Research and Management"; Volume 28, Issue 4, 2014; copyright Taylor & Francis; available online at: http://www.tandfonline.com/doi/abs/10.1080/15324982.2014.882871Modern agriculture aims to encompass all soil attributes to optimize soil use and minimize environmental impacts. One of those attributes is soil color, which allows determining important soil variables for crop management and soil conservation. In this study, the relationships between lightness and several pedologic, topographic, and soil management variables were determined. One hundred and ten topsoil points were sampled in an area where the Mediterranean climate is the only homogeneous soil forming factor. Soil samples were air dried, crushed, and sieved, and lightness measurements were made using a trichromatic colorimeter. The relationships between lightness and soil-related parameters were carried out by means of bivariate linear correlation, and Mann-Witney and Kruskal-Wallis tests. Soil textural fractions (sand and silt), electrical conductivity and carbonates were statistically significant (p<0.001) and exhibited moderate correlation coefficients (0.32 0.45). Topographic variables (slope and aspect), soil organic carbon, iron, nitrogen, pH, and parent material (marls) exhibited lower effect on lightness. The response of lightness to clay content was highly conditioned by iron content. Stoniness, phosphorous, elevation, and soil management variables (irrigation and land use) were not statistically significant. The results obtained with calcareous samples from semiarid areas showed that soil lightness behavior agree with findings in developed soils, despite of the large differences in soil composition and the heterogeneity of the study area.Moreno-Ramón, H.; Marqués-Mateu, Á.; Ibañez Asensio, S. (2014). Significance of Soil Lightness Versus Physicochemical Soil Properties in Semiarid Areas. Arid Land Research and Management. 28(4):371-382. doi:10.1080/15324982.2014.882871S371382284Al-Mahawili , S. M. H. , M. F. Baumgardner , R. A. Weismiller , and W. N. Melhorn . 1983 . Satellite image interpretation and laboratory spectral reflectance measurements of saline and gypsiferous soils of West Baghdad, Iraq.LARS Technical Reports. Paper 104.Barrett, L. R. (2002). Spectrophotometric color measurement in situ in well drained sandy soils. Geoderma, 108(1-2), 49-77. doi:10.1016/s0016-7061(02)00121-0Bogrekci, I., & Lee, W. S. (2005). Spectral Phosphorus Mapping using Diffuse Reflectance of Soils and Grass. Biosystems Engineering, 91(3), 305-312. doi:10.1016/j.biosystemseng.2005.04.015Buol, S. W., Southard, R. J., Graham, R. C., & McDaniel, P. A. (2011). Soil Genesis and Classification. doi:10.1002/9780470960622Christensen, L. K., Bennedsen, B. S., Jørgensen, R. N., & Nielsen, H. (2004). Modelling Nitrogen and Phosphorus Content at Early Growth Stages in Spring Barley using Hyperspectral Line Scanning. Biosystems Engineering, 88(1), 19-24. doi:10.1016/j.biosystemseng.2004.02.006Doi, R., Wachrinrat, C., Teejuntuk, S., Sakurai, K., & Sahunalu, P. (2009). Semiquantitative color profiling of soils over a land degradation gradient in Sakaerat, Thailand. Environmental Monitoring and Assessment, 170(1-4), 301-309. doi:10.1007/s10661-009-1233-xDuiker, S. W., Rhoton, F. E., Torrent, J., Smeck, N. E., & Lal, R. (2003). Iron (Hydr)Oxide Crystallinity Effects on Soil Aggregation. Soil Science Society of America Journal, 67(2), 606. doi:10.2136/sssaj2003.0606Ehsani, M. R., Upadhyaya, S. K., Slaughter, D., Shafii, S., & Pelletier, M. (1999). Precision Agriculture, 1(2), 219-236. doi:10.1023/a:1009916108990Gunal, H., Ersahin, S., Yetgin, B., & Kutlu, T. (2008). Use of Chromameter‐Measured Color Parameters in Estimating Color‐Related Soil Variables. Communications in Soil Science and Plant Analysis, 39(5-6), 726-740. doi:10.1080/00103620701879422Ibarra-F., F. A., Martin-R., M. H., Cox, J. R., Crowl, T. A., Post, D. F., Miller, R. W., & Rasmussen, G. A. (1995). Relationship between Buffelgrass Survival, Organic Carbon, and Soil Color in Mexico. Soil Science Society of America Journal, 59(4), 1120. doi:10.2136/sssaj1995.03615995005900040025xKonen, M. E., Burras, C. L., & Sandor, J. A. (2003). Organic Carbon, Texture, and Quantitative Color Measurement Relationships for Cultivated Soils in North Central Iowa. Soil Science Society of America Journal, 67(6), 1823. doi:10.2136/sssaj2003.1823Mouazen, A. M., Maleki, M. R., De Baerdemaeker, J., & Ramon, H. (2007). On-line measurement of some selected soil properties using a VIS–NIR sensor. Soil and Tillage Research, 93(1), 13-27. doi:10.1016/j.still.2006.03.009Pan, G., Xu, X., Smith, P., Pan, W., & Lal, R. (2010). An increase in topsoil SOC stock of China’s croplands between 1985 and 2006 revealed by soil monitoring. Agriculture, Ecosystems & Environment, 136(1-2), 133-138. doi:10.1016/j.agee.2009.12.011Sánchez-Marañón, M., Martín-García, J. M., & Delgado, R. (2011). Effects of the fabric on the relationship between aggregate stability and color in a Regosol–Umbrisol soilscape. Geoderma, 162(1-2), 86-95. doi:10.1016/j.geoderma.2011.01.008Sánchez-Marañón, M., Ortega, R., Miralles, I., & Soriano, M. (2007). Estimating the mass wetness of Spanish arid soils from lightness measurements. Geoderma, 141(3-4), 397-406. doi:10.1016/j.geoderma.2007.07.005Sánchez-Marañón, M., Delgado, G., Melgosa, M., Hita, E., & Delgado, R. (1997). CIELAB COLOR PARAMETERS AND THEIR RELATIONSHIP TO SOIL CHARACTERISTICS IN MEDITERRANEAN RED SOILS. Soil Science, 162(11), 833-842. doi:10.1097/00010694-199711000-00007Singleton, P. (1991). Water tables and soil colour as an indicator of saturation in some soils of the Waikato, New Zealand. Soil Research, 29(4), 467. doi:10.1071/sr9910467Spielvogel, S., Knicker, H., & Kögel-Knabner, I. (2004). Soil organic matter composition and soil lightness. Journal of Plant Nutrition and Soil Science, 167(5), 545-555. doi:10.1002/jpln.200421424Viscarra Rossel, R. A., Minasny, B., Roudier, P., & McBratney, A. B. (2006). Colour space models for soil science. Geoderma, 133(3-4), 320-337. doi:10.1016/j.geoderma.2005.07.017Webster, R., & Oliver, M. A. (2007). Geostatistics for Environmental Scientists. Statistics in Practice. doi:10.1002/978047051727

Digital LED Pixels: Instructions for use and a characterization of their properties

This article details how to control light emitting diodes (LEDs) using an ordinary desktop computer. By combining digitally addressable LEDs with an off-the-shelf microcontroller (Arduino), multiple LEDs can be controlled independently and with a high degree of temporal, chromatic, and luminance precision. The proposed solution is safe (can be powered by a 5-V battery), tested (has been used in published research), inexpensive (∼ $60 +$2 per LED), highly interoperable (can be controlled by any type of computer/operating system via a USB or Bluetooth connection), requires no prior knowledge of electrical engineering (components simply require plugging together), and uses widely available components for which established help forums already exist. Matlab code is provided, including a ‘minimal working example’ of use suitable for use by beginners. Properties of the recommended LEDs are also characterized, including their response time, luminance profile, and color gamut. Based on these, it is shown that the LEDs are highly stable in terms of both luminance and chromaticity, and do not suffer from issues of warm-up, chromatic shift, and slow response times associated with traditional CRT and LCD monitor technology

Medication administration errors for older people in long-term residential care

Background Older people in long-term residential care are at increased risk of medication errors. The purpose of this study was to evaluate a computerised barcode medication management system designed to improve drug administrations in residential and nursing homes, including comparison of error rates and staff awareness in both settings. Methods All medication administrations were recorded prospectively for 345 older residents in thirteen care homes during a 3-month period using the computerised system. Staff were surveyed to identify their awareness of administration errors prior to system introduction. Overall, 188,249 attempts to administer medication were analysed to determine the prevalence of potential medication administration errors (MAEs). Error classifications included attempts to administer medication at the wrong time, to the wrong person or discontinued medication. Analysis compared data at residential and nursing home level and care and nursing staff groups. Results Typically each resident was exposed to 206 medication administration episodes every month and received nine different drugs. Administration episodes were more numerous (p < 0.01) in nursing homes (226.7 per resident) than in residential homes (198.7). Prior to technology introduction, only 12% of staff administering drugs reported they were aware of administration errors being averted in their care home. Following technology introduction, 2,289 potential MAEs were recorded over three months. The most common MAE was attempting to give medication at the wrong time. On average each resident was exposed to 6.6 potential errors. In total, 90% of residents were exposed to at least one MAE with over half (52%) exposed to serious errors such as attempts to give medication to the wrong resident. MAEs rates were significantly lower (p < 0.01) in residential homes than nursing homes. The level of non-compliance with system alerts was low in both settings (0.075% of administrations) demonstrating virtually complete error avoidance. Conclusion Potentially inappropriate administration of medication is a serious problem in long-term residential care. A computerised barcode system can accurately and automatically detect inappropriate attempts to administer drugs to residents. This tool can reliably be used by care staff as well as nurses to improve quality of care and patient safety

Consensus Recommendations for the Use of Automated Insulin Delivery (AID) Technologies in Clinical Practice

International audienceThe significant and growing global prevalence of diabetes continues to challenge people with diabetes (PwD), healthcare providers and payers. While maintaining near-normal glucose levels has been shown to prevent or delay the progression of the long-term complications of diabetes, a significant proportion of PwD are not attaining their glycemic goals. During the past six years, we have seen tremendous advances in automated insulin delivery (AID) technologies. Numerous randomized controlled trials and real-world studies have shown that the use of AID systems is safe and effective in helping PwD achieve their long-term glycemic goals while reducing hypoglycemia risk. Thus, AID systems have recently become an integral part of diabetes management. However, recommendations for using AID systems in clinical settings have been lacking. Such guided recommendations are critical for AID success and acceptance. All clinicians working with PwD need to become familiar with the available systems in order to eliminate disparities in diabetes quality of care. This report provides much-needed guidance for clinicians who are interested in utilizing AIDs and presents a comprehensive listing of the evidence payers should consider when determining eligibility criteria for AID insurance coverage

No Reliable Association between Runs of Homozygosity and Schizophrenia in a Well-Powered Replication Study

It is well known that inbreeding increases the risk of recessive monogenic diseases, but it is less certain whether it contributes to the etiology of complex diseases such as schizophrenia. One way to estimate the effects of inbreeding is to examine the association between disease diagnosis and genome-wide autozygosity estimated using runs of homozygosity (ROH) in genome-wide single nucleotide polymorphism arrays. Using data for schizophrenia from the Psychiatric Genomics Consortium (n = 21,868), Keller et al. (2012) estimated that the odds of developing schizophrenia increased by approximately 17% for every additional percent of the genome that is autozygous (β = 16.1, CI(β) = [6.93, 25.7], Z = 3.44, p = 0.0006). Here we describe replication results from 22 independent schizophrenia case-control datasets from the Psychiatric Genomics Consortium (n = 39,830). Using the same ROH calling thresholds and procedures as Keller et al. (2012), we were unable to replicate the significant association between ROH burden and schizophrenia in the independent PGC phase II data, although the effect was in the predicted direction, and the combined (original + replication) dataset yielded an attenuated but significant relationship between Froh and schizophrenia (β = 4.86,CI(β) = [0.90,8.83],Z = 2.40,p = 0.02). Since Keller et al. (2012), several studies reported inconsistent association of ROH burden with complex traits, particularly in case-control data. These conflicting results might suggest that the effects of autozygosity are confounded by various factors, such as socioeconomic status, education, urbanicity, and religiosity, which may be associated with both real inbreeding and the outcome measures of interest

Requirement for Dlgh-1 in planar cell polarity and skeletogenesis during vertebrate development.

The development of specialized organs is tightly linked to the regulation of cell growth, orientation, migration and adhesion during embryogenesis. In addition, the directed movements of cells and their orientation within the plane of a tissue, termed planar cell polarity (PCP), appear to be crucial for the proper formation of the body plan. In Drosophila embryogenesis, Discs large (dlg) plays a critical role in apical-basal cell polarity, cell adhesion and cell proliferation. Craniofacial defects in mice carrying an insertional mutation in Dlgh-1 suggest that Dlgh-1 is required for vertebrate development. To determine what roles Dlgh-1 plays in vertebrate development, we generated mice carrying a null mutation in Dlgh-1. We found that deletion of Dlgh-1 caused open eyelids, open neural tube, and misorientation of cochlear hair cell stereociliary bundles, indicative of defects in planar cell polarity (PCP). Deletion of Dlgh-1 also caused skeletal defects throughout the embryo. These findings identify novel roles for Dlgh-1 in vertebrates that differ from its well-characterized roles in invertebrates and suggest that the Dlgh-1 null mouse may be a useful animal model to study certain human congenital birth defects

<i>Dlgh-1^−/−</i> mice display defects in outer cell hair polarity.

<p>(A, B) Representative images of the OHC and IHC layers in the cochlea of <i>Dlgh-1^+/+</i> and <i>Dlgh-1^−/−</i> mice. The organ of Corti was isolated from the cochleae of E18.5 <i>Dlgh-1^+/+</i> (A) and <i>Dlgh-1</i>^−/− (B) embryos, stained with phalloidin to visualize the actin bundles of the inner and outer hair cells, and viewed by confocal microscopy. Arrows indicate cells with misoriented stereociliary bundles in OHC3 row of the <i>Dlgh-1^−/−</i> mice. (C) Measurement of misorientation of sterociliary bundles in OHC3 layer of <i>Dgh-1^+/+</i> and <i>Dlgh-1^−/−</i> mice. The angle of sterociliary bundles in OHC3 of <i>Dlgh-1^+/+</i> and <i>Dlgh-1^−/−</i> mice was measured in reference to a line parallel to the neural-abneural axis and perpendicular to the plane of the pillar cells. Plotted is the deviation in degrees from the neural-abneural axis for each OHC3 bundle measured in (4 cochleae from 3 mice of each genotype, 36 cells for <i>Dlgh-1^+/+</i> and 33 cells for <i>Dlgh-1^−/−</i> mice). No deviation from the neural-abneural axis was assigned a value of 0°. The average angle deviation from 0° for OHC3 bundles in <i>Dlgh-1^−/−</i> cochlea (33.7°+/−1.869, red bar) was significantly higher (p = 1.5×10⁻⁹) than that of the <i>Dlgh-1^+/+</i> (17.3°+/−0.869, red bar). (D, E) Immunohistochemical detection of Dlgh-1 protein in the cochlea of E15.5 mouse embryos. Transverse sections of paraffin embedded heads from control <i>Dlgh-1^+/+</i> mice were subjected to immunohistochemistry using (D) an anti-Dlgh-1 specific antibody and alkaline phosphatase detection or (E) no primary antibody. The pink color in the epithelium of the cochlear duct and cartilage in (D) is indicative of the presence of Dlgh-1 protein in these structures. (F) Immunofluorescent detection of Dlgh-1 protein in the cochlear hair cells of P2 mice control. Fixed cochlear explants from <i>Dlgh-1^+/+</i> mice were subjected to immunofluorescence using an anti-Dlgh-1 (green) antibody. Arrows show concentration of Dlgh-1 on the basal-lateral membranes of the OHC cells. IHC, inner hair cells, OHC1, 2, 3, outer hair cell rows 1, 2, and 3. c, cartilage in cochlea, d, cochlear duct. Scale bar = 50 µm.</p