Plagiarism Detection Avoidance Methods and Countermeasures

Plagiarism is a major problem that educators face in the information age. Today\u27s plagiarist has a near limitless supply of well-written articles via the internet. Due to the scale of the problem, detecting plagiarism has now become the domain of the computer scientist rather than the educator. With the use of computers, documents can be conveniently scanned into a plagiarism detection system that references public web pages, academic journals, and even previous students\u27 papers, acting as an all-seeing eye. However, plagiarists can overcome these digital content detection systems with the use of clever masking and substitutions techniques. These systems cost universities tens of thousands of dollars, and also infringe upon intellectual property ownership rights without the informed consent of individual students. In this work, we examine the efficacy of commercial plagiarism detection systems when used against some selected masking techniques, and then present a simple countermeasure to combat the aforementioned detection avoidance technique

\u3ci\u3eCryptopygus Bipunctatus\u3c/i\u3e (Collembola: Isotomidae) in North America, and \u3ci\u3eC. Posteroculatus\u3c/i\u3e N. Comb.

Specimens of Cryptopygus bipunctatus are reported and described from North America (Michigan) for the first time. The species is easily recognized by its lack of color, one pair of ocelli on black eyespots, and one flair of ventral manubrial setae. Michigan and European specimens are very· similar. A very similar Polish species, Isotomina posteroculata, is transferred to Cryptopygus

Utilizing Deep Neural Networks for Brain–Computer Interface-Based Prosthesis Control

Limb amputations affect a significant portion of the world’s population every year. The necessity for these operations can be associated with related health conditions or a traumatic event. Currently, prosthetic devices intended to alleviate the burden of amputation lack many of the premier features possessed by their biological counterparts. The foremost of these features are agility and tactile function. In an effort to address the former, researchers here investigate the fundamental connection between agile finger movement and brain signaling. In this study each subject was asked to move his or her right index finger in sync with a time-aligned finger movement demonstration while each movement was labeled and the subject’s brain waves were recorded via a single-channel electroencephalograph. This data was subsequently used to train and test a deep neural network in an effort to classify each subject’s intention to rest and intention to extend his or her right index finger. On average, the employed model yielded an accuracy of 63.3%, where the most predictable subject’s movements were classified with an accuracy of 70.5%

A Long-Term Analysis of Changes in Farm Size and Financial Performance

This paper examined the changing structure of farms in Kansas. Specifically, changes in farm size, farm type, financial performance, and economies of size were examined using five-year moving averages from 1973 to 2007. Convergence analysis was used to determine whether small farms are catching up to larger farms or whether the difference in performance between these two groups of farms was widening. Results suggested that the gaps between the small farms and large farms have widened.Economies of Size, Financial Performance, Farm Management, Production Economics, D21,

Marginal Propensity to Consume for a Sample of Kansas Farms

This paper examined the marginal propensity to consume (MPC) for a sample of Kansas farms. Sensitivity of estimated MPCs to the use of accrual net farm income, net cash farm income, and the inclusion of off-farm income was also examined. Results yielded a range of short-run MPCs from 0.011 to 0.015. Statistical tests suggested that the income coefficients used to compute short-run MPCs were not statistically different.Farm Consumption, Habit Persistence, Agricultural Finance, Farm Management, E21,

Heteronormativity and the Ideal Family

Abstract: In this work I argue that the heteronormative nuclear family (HNF) should not be considered the ideal family form as it has been in the past. The HNF assumes that the ideal family should include a monogamous heterosexual couple and their offspring. I argue that the HNF should not be used as an ideal by which to judge family health as there are many different family arrangements outside of the heteronuclear. The HNF should not be confused with particular heteronuclear households as the HNF as an ideal does not refer to any specific family. As some ideal by which to judge family health may be useful, I provide an alternative ideal focusing on function over form. In providing this alternative ideal, I supply one which can be achieved by families outside of the heteronuclear. To make my case against the HNF as the ideal family form, I explain that this ideal promotes a kind of sexism. I support this claim by demonstrating how the HNF is predicated on the assumption of a flawed binary in which the sexes are strictly divided and naturally opposed complements to one another in their gender expression. I go on to point out that the HNF’s history and basis in a strictly divided binary make it particularly apt as a tool to privilege white families who fulfill its form. This is because historically white nuclear families have been the favorite example used for what a healthy family should look like. I deny that the HNF can be effectively used to judge family health; however, an ideal family of some sort may be useful in assessing the suitability or functionality of families which actually exist. In consideration of this possibility, I provide an alternative and obtainable ideal emphasizing function over form. I propose that the ideal family would be a network of care in which each member reliably supports and cares for one another. I also lay out the bounds of the family as a network and how responsibilities and obligations might be understood and their fulfillment assessed

Thrombin Effects on Cultured Nerve Cells: Clinical Implications and Evidence for a Novel Mechanism of Neuronal Activation a

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/75548/1/j.1749-6632.1986.tb34592.x.pd

Observations of attenuation at 20.6, 31.65 and 90.0 GHz: Preliminary results from Wallops Island, VA

Ground based radiometric observations of atmospheric attenuation at 20.6, 31.65, and 90.0 GHz were made at Wallops Island, Virginia during April and May 1989. Early results from the analysis of the data set are compared with previous observations from California and Colorado. The relative attenuation ratios observed at each frequency during clear, cloudy, and rainy conditions are shown. Plans for complete analysis of the data are described