93,104 research outputs found

    Potential for Chemical Repellents Against the Mite Tyrophagus putrescentiae to Prevent Infestation of Country Hams

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    Tyrophagus putrescentiae (Shrank), commonly known as the ham mite, is a cosmopolitan pest found of various stored food commodities, including aged hams and cheeses (Amoah et al. 2017; Campbell et al. 2017). Recent research suggested methods to deter T. putrescentiae from infestation of country hams using different types of food-safe chemicals (Abbar et al. 2016). In this experiment, four chemicals were tested to ascertain their effectiveness in deterring T. putrescentiae from ham infestation. Repellency tests used a piece of ham and a group of mites placed on opposite sides of a Petri dish with a black construction paper floor. A test barrier of a test compound or solvent control was deposited on a white filter paper strip bisecting the dish at its center. The chemicals Nootkatone, Propylene Glycol, Glycerol and a fatty acid blend called “C8910” prevented more mites from contacting the ham compared to strips with solvent. These results suggest the potential for using one or more of these food-safe compounds to prevent ham mites form infesting hams in aging rooms

    Analysis of the Economic Development of Statesboro, Georgia’s Blue Mile: A Structural Approach for Diversification

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    The Blue Mile has become a center for Statesboro’s Economic Development plan of business diversification and downtown revitalization. Downtown revitalization is important not only to existing businesses but also to expanding the property tax base. The gauging of revitalization and diversification in the field of community development has been overlooked in favor of qualitative generalizations. Burayidi’s Scorecard is used as a basis to establish a standard for the structural analysis tests conducted to measure business diversification

    An examination of some characteristics of Kepler Short and Long Cadence Data

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    A close comparison of Kepler short- and long-cadence data released prior to 2011 Nov 1 has shown some subtle differences that make the short-cadence data superior to their long-cadence counterparts. The inevitable results of a faster sampling rate are present: the short-cadence data provide greater time resolution for short-lived events like flares, and have a much higher Nyquist frequency than the long-cadence data; however, they also contain fewer high-amplitude peaks at low frequency and allow a more precise determination of pulsation frequencies, amplitudes and phases. The latter observation indicates that Kepler data are not normally distributed. Moreover, a close inspection of the Pre-search Data Conditioned (PDC) long-cadence data show residuals that have increased noise on time-scales important to asteroseismology, but unimportant to planet searches.Comment: Accepted for publication in MNRAS. 7 pages, 5 figure

    Determining optimal cadence for an individual road cyclist from field data

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    The cadence that maximises power output developed at the crank by an individual cyclist is conventionally determined using a laboratory test. The purpose of this study was two-fold: (i) to show that such a cadence, which we call the optimal cadence, can be determined using power output, heart-rate, and cadence measured in the field and (ii) to describe methodology to do so. For an individual cyclist's sessions, power output is related to cadence and the elicited heart-rate using a non-linear regression model. Optimal cadences are found for two riders (83 and 70 revolutions per minute, respectively); these cadences are similar to the riders’ preferred cadences (82–92?rpm and 65–75?rpm). Power output reduces by approximately 6% for cadences 20?rpm above or below optimum. Our methodology can be used by a rider to determine an optimal cadence without laboratory testing intervention: the rider will need to collect power output, heart-rate, and cadence measurements from training and racing sessions over an extended period (>6 months); ride at a range of cadences within those sessions; and calculate his/her optimal cadence using the methodology described or a software tool that implements it

    Music as Art: A Study of Expressing Emotion Through Music and Art

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    People have been expressing emotion with different art forms throughout history. Emotion has always been something that is hard for us to explain with words, so we have turned to painting, drawing, dancing, and music to add a visual or auditory explanation to what we feel. Depending on the chords or colors that are used, music and art can evoke specific emotions. There are many similarities between art and music, especially in the terms used to describe it. Both artists and musicians refer to their work as “compositions” and “pieces.” The musical term “timbre” means tone color and refers to the color provided by different instrument voices that make up an orchestration. Both art and music use motifs, themes, texture, and harmony. A common way that composers and directors will describe how they want a band to sound is by using the world “color.” Then the question becomes, “what color?” Of course, it is just an expression and a word to describe tone quality, but some artists have taken what they hear musically and they have translated it into an expression of color and shapes

    A Mathematical Framework for Analysis and Design of MagneticClimbing Mobile Robots

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    Robotic platforms that can successfully traverse atypical environments like those found on steel bridges, turbines, and silos are currently being researched and developed globally through funding from a range of governments. Improvements to robots of this type are highly desirable because efficient and detailed inspection of infrastructure is in demand as the world's current infrastructure ages. In this thesis we propose a framework of analysis for the engineering and design of magnetic steel climbing mobile robots to standardize the industries approach toward these robotic solutions. This framework equips members of the computer science and engineering field with the knowledge to analyze their own design concepts and optimize for desired parameters. In addition, this framework provides engineers with the ability to quantify the degree of confidence they would prefer through the definition of factor of safety (FOS) equations. The application of this framework has assisted the design of two state-of-the-art robots created by the Advanced Robotics and Automation (ARA) Lab of the University of Nevada, Reno (UNR) and has also been used to analyze previous robotic designs. The ARA Lab's V3 and V4 robots designed through the application of this framework have been created. The successful functioning of them shows that the framework proposed in this thesis can efficiently predict operating capabilities and consequently, will help to reduce the frequency and cost of potential future project design failures by allowing designers to catch them before purchasing, manufacturing and physical verification testing is performed

    Green Growth or Degrowth? The Economics of Climate Change

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    The paradigm dominating how American policymakers currently approach the climate crisis issue is green growth, positing that the global economy can maintain desirable levels of persistent economic growth while also effectively reducing carbon emissions and slowing the process of global warming, all by means of market-spurred technological innovation and green production processes. Some environmental thinkers dispute the sustainability potential of green growth, urging green growth economists and policymakers to think beyond the ostensibly “limiting” economic growth paradigm. Among this dissent, a new paradigm has emerged, one de-centering goals of economic growth and instead advocating for a reduction in economic throughput, consumption, and – by extension – a reduction in energy and resource usage. This movement, called “degrowth”, seeks a balance between environmental health and human well-being. After careful review of the research and literature supporting both methods of economic strategy, I find that the growth imperative has limited potential for sustainable environmental transformations. In the short amount of time our economies have left to transition to renewable energy sources and effectively avert an irreversible 1.5 degrees of global warming, the degrowth perspective is more promising. There has been no significant historical evidence that green growth can effectively decouple economic growth from greenhouse gas emissions, and because of this, a more radical solution is needed. The degrowth strategy propounds a period of economic degrowth, observing lower output and consumption rates, with the goal of reaching an environmentally sustainable steady state that compounds lower throughput with much more availability for leisure and work-sharing. The necessary approach to a post-degrowth sustainable steady state must account for the vast differences in economic development levels across the globe. I advocate for green growth in developing countries who have yet to grow into an ecologically sustainable steady state and degrowth for wealthy countries who have surpassed the sustainable economic state, with the goal of moving the global economy towards a sustainable steady state in the long run

    LV Debt Collect v. Bank of N.Y. Mellon, 139 Nev. Adv. Op. 25 (Aug. 24, 2023)

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    The Nevada Supreme Court affirmed the district court’s grant of summary judgment in a quiet title action disputing the ownership of real property. The Court held that, for the purposes of NRS 106.240, a Notice of Default is not sufficient to make a secured debt wholly due for the following reasons: (1) the plain language of the statute requires an interpretation of whether a debt is wholly due according to the original terms and any extensions, (2) state law requires a waiting period after a Notice of Default has been recorded before the debt can be accelerated, and accelerations of a debt must be clear and unequivocal, and (3) policy reasons behind the statute do not support its application to Notices of Default