Risks, Risk Factors, and Outcomes Associated with Phone and Internet Sexting Among University Students in the United States

Sexting, defined as the exchange of sexually suggestive pictures or messages via mobile phone or social networking sites (SNS), has received media attention for its prevalence and associated negative outcomes; however, research has not yet fully established risk factors for and resulting outcomes from sexting behaviors. The current study was the first empirical test of a causal path model in males and females, in which impulsivity-related traits and expectancies influence sexual behaviors through phone and SNS sexting. We also examined prevalence and perceived likelihood of common negative outcomes associated with sexting. Multiple regression and structural equation modeling (SEM) statistics were conducted on two independent undergraduate samples (n = 611 and 255). The best fitting SEM model (RMSEA = 0.04, CFI = 0.96, TLI = 0.94, and χ2 = 176.06, df = 75, p < .001) demonstrated a significant indirect effect of sensation seeking on phone sexting behaviors through sex-related sexting expectancies and a significant indirect effect of sensation seeking on sexual hookup behaviors through phone sexting behaviors (b = 0.06, p = .03), but only for females. Reverse mediations and mediation with SNS were not significant. Negative outcomes were rare: sexts being spread to others was the most common negative sexting experience (n = 21, 12 %). This study suggests the viability of personality and expectancies affecting sexual hookup behaviors through engagement in sexting behaviors. It also suggests that although direct negative outcomes associated with sexting are thought to be common, they were rare in the current sample

Implicit prices of indigenous cattle traits in central Ethiopia: Application of revealed and stated preference approaches

The diversity of animal genetic resources has a quasi-public good nature that makes market prices inadequate indicator of its economic worth. Applying the characteristics theory of value, this research estimated the relative economic worth of the attributes of cattle genetic resources in central Ethiopia. Transaction level data were collected over four seasons in a year and choice experiment survey was done in five markets to generate data on both revealed and stated preferences of cattle buyers. Heteroscedasticity efficient estimation and random parameters logit were employed to analyse the data. The results essentially show that attributes related to the subsistence functions of cattle are more valued than attributes that directly influence marketable products of the animals. The findings imply the strong need to invest on improvement of attributes of cattle in the study area that enhance the subsistence functions of cattle that their owners accord higher priority to support their livelihoods than they do to tradable products

Susceptibility of Eucalyptus Species and Clones to Red Gum Lerp Psyllid, Glycaspis brimblecombei, (Hemiptera: Psyllidae) in Mbizi Forest Plantation, Tanzania

Glycaspis brimblecombei is a sap-sucking insect that feeds on Eucalypts. The pest is native to Australia. The nymph feeds on eucalypt leaves and secretes honeydew with which they construct a waxy cover (called a lerp) around themselves. This cover is whitish and conical in shape and shelters the insects until the adult stage. The insect is considered a serious pest that causes leaf discoloration, severe leaf drop, twig dieback and some tree mortality on some Eucalyptus species. In October 2016, the red gum lerp psyllid was recorded for the first time in Mbizi forest plantation in Tanzania infesting Eucalyptus camaldulensis and different Eucalyptus clones. A study was conducted to determine the susceptibility of Eucalypt germplasm to the insect pest. Results showed that E. camaldulensis was more infested followed by GC 514, GC 167, GC 584, GC 15, GC 785 clones while GC 940 was the least infested. Eucalyptus grandis was not infested. Stakeholders can be able to use the susceptibility grouping of the Eucalyptus germplasm to determine what to plant in areas of red gum lerp psyllid infestation. Similar research work should be carried in all major host tree growing areas to determine susceptibility groups for the areas

Assessment and enhancement of MERRA land surface hydrology estimates

The Modern-Era Retrospective Analysis for Research and Applications (MERRA) is a state-of-the-art reanalysis that provides, in addition to atmospheric fields, global estimates of soil moisture, latent heat flux, snow, and runoff for 1979 present. This study introduces a supplemental and improved set of land surface hydrological fields ("MERRA-Land") generated by rerunning a revised version of the land component of the MERRA system. Specifically, the MERRA-Land estimates benefit from corrections to the precipitation forcing with the Global Precipitation Climatology Project pentad product (version 2.1) and from revised parameter values in the rainfall interception model, changes that effectively correct for known limitations in the MERRA surface meteorological forcings. The skill (defined as the correlation coefficient of the anomaly time series) in land surface hydrological fields from MERRA and MERRA-Land is assessed here against observations and compared to the skill of the state-of-the-art ECMWF Re-Analysis-Interim (ERA-I). MERRA-Land and ERA-I root zone soil moisture skills (against in situ observations at 85 U.S. stations) are comparable and significantly greater than that of MERRA. Throughout the Northern Hemisphere, MERRA and MERRA-Land agree reasonably well with in situ snow depth measurements (from 583 stations) and with snow water equivalent from an independent analysis. Runoff skill (against naturalized stream flow observations from 18 U.S. basins) of MERRA and MERRA-Land is typically higher than that of ERA-I. With a few exceptions, the MERRA-Land data appear more accurate than the original MERRA estimates and are thus recommended for those interested in using MERRA output for land surface hydrological studies

Timing is everything: Drivers of interannual variability in blue whale migration.

Blue whales need to time their migration from their breeding grounds to their feeding grounds to avoid missing peak prey abundances, but the cues they use for this are unknown. We examine migration timing (inferred from the local onset and cessation of blue whale calls recorded on seafloor-mounted hydrophones), environmental conditions (e.g., sea surface temperature anomalies and chlorophyll a), and prey (spring krill biomass from annual net tow surveys) during a 10 year period (2008-2017) in waters of the Southern California Region where blue whales feed in the summer. Colder sea surface temperature anomalies the previous season were correlated with greater krill biomass the following year, and earlier arrival by blue whales. Our results demonstrate a plastic response of blue whales to interannual variability and the importance of krill as a driving force behind migration timing. A decadal-scale increase in temperature due to climate change has led to blue whales extending their overall time in Southern California. By the end of our 10-year study, whales were arriving at the feeding grounds more than one month earlier, while their departure date did not change. Conservation strategies will need to account for increased anthropogenic threats resulting from longer times at the feeding grounds

Fostering children's relationship with nature : exploring the potential of Forest school

Forest School offers children opportunities to explore the natural environment regularly over an extended period of time. It is based on six key principles, one of which states Forest School fosters a relationship with nature and develops long-term pro-environment attitudes through regular personal experiences in nature. We consider to what extent this aim is achieved by exploring the published evidence. We identify that a relationship with nature could be demonstrated under six themes although there is little robust evidence to support this. We suggest further research is carried out directly linked to this aim of Forest School

Determinants of Adoption of Improved Crossbred Cattles: A Case Study of Suba and Laikipia Districts, Kenya

Recognizing that more than 10% of the Kenyan GDP and 50% of agricultural GDP are comprised of sales within the livestock subsector; the purpose of this research is to identify the determinants of adoption of improved crossbred cattle in rural Kenya. This research has important implications for increasing the dairy subsectors’ productivity, improving nutrient intake within rural Kenya and motivating higher rates of foreign direct investment in a sustainable, beneficial sector. We used a publicly available (www.ifpri.org) dataset called "Land Tenure, Agricultural Productivity and the Environment, 2001." A logistical regression analysis is employed to answer our research questions. The results showed that: family members education, having an extra job in addition to farming, and exposure to external market forces (was the farmer a local, or immigrant) all greatly contributed to the likelihood of adoption. This research aims to gnaw away at the ambiguity and lack of research associated with the Kenyan dairy sub-sector and aims to facilitate greater understanding and investment in the sector. Keywords: Adoption, Logistic regression, Kenya, Crossbreed cattl