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"Everett, Mark"
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James : a novel
\"From Percival Everett-a recipient of the NBCC Lifetime Achievement Award and finalist for the Pulitzer Prize, Booker Prize, and numerous PEN awards-comes James, a retelling of The Adventures of Huckleberry Finn, both harrowing and ferociously funny, told from the enslaved Jim's point of view. When the enslaved Jim overhears that he is about to be sold to a man in New Orleans, separated from his wife and daughter forever, he decides to hide on nearby Jackson Island until he can formulate a plan. Meanwhile, Huck Finn has faked his own death to escape his violent father, recently returned to town. As all readers of American literature know, thus begins the dangerous and transcendent journey by raft down the Mississippi River toward the elusive and too-often-unreliable promise of the Free States and beyond. While many narrative set pieces of The Adventures of Huckleberry Finn remain in place (floods and storms, stumbling across both unexpected death and unexpected treasure in the myriad stopping points along the river's banks, encountering the scam artists posing as the Duke and Dauphin...), Jim's agency, intelligence and compassion are shown in a radically new light. Brimming with the electrifying humor and lacerating observations that have made Everett a \"cult literary icon\" (Oprah Daily), and one of the most decorated writers of our lifetime, James is destined to be a major publishing event and a cornerstone of twenty-first century American literature\"-- Provided by publisher.
Book
Near-Surface Applied Geophysics
Just a few meters below the Earth's surface lie features of great importance, from geological faults which can produce devastating earthquakes, to lost archaeological treasures! This refreshing, up-to-date book explores the foundations of interpretation theory and the latest developments in near-surface techniques, used to complement traditional geophysical methods for deep-exploration targets. Clear but rigorous, the book explains theory and practice in simple physical terms, supported by intermediate-level mathematics. Techniques covered include magnetics, resistivity, seismic reflection and refraction, surface waves, induced polarization, self-potential, electromagnetic induction, ground-penetrating radar, magnetic resonance, interferometry, seismoelectric and more. Sections on data analysis and inverse theory are provided and chapters are illustrated by case studies, giving students and professionals the tools to plan, conduct and analyze a near-surface geophysical survey. This is an important textbook for advanced-undergraduate and graduate students in geophysics and a valuable reference for practising geophysicists, geologists, hydrologists, archaeologists, and civil and geotechnical engineers.
eBook
The NN-explore Exoplanet Stellar Speckle Imager: Instrument Description and Preliminary Results
A new speckle and wide-field imaging instrument for the WIYN telescope called NN-EXPLORE Exoplanet Stellar Speckle Imager (NESSI) is described. NESSI offers simultaneous two-color diffraction-limited imaging and wide-field traditional imaging for validation and characterization of transit and precision RV exoplanet studies. Many exoplanet targets will come from the NASA K2 and Transiting Exoplanet Survey Satellite (TESS) missions. NESSI is capable of resolving close binaries at sub-arcsecond separations down to the diffraction limit and >6 mag contrast difference in the visible band on targets as faint as 14th mag. Preliminary results from the instrument commissioning at WIYN and demonstrations of the instrument's capabilities are presented.
Journal Article
Theoretical Developments in Electromagnetic Induction Geophysics with Selected Applications in the Near Surface
Near-surface applied electromagnetic geophysics is experiencing an explosive period of growth with many innovative techniques and applications presently emergent and others certain to be forthcoming. An attempt is made here to bring together and describe some of the most notable advances. This is a difficult task since papers describing electromagnetic induction methods are widely dispersed throughout the scientific literature. The traditional topics discussed herein include modeling, inversion, heterogeneity, anisotropy, target recognition, logging, and airborne electromagnetics (EM). Several new or emerging techniques are introduced including landmine detection, biogeophysics, interferometry, shallow-water electromagnetics, radiomagnetotellurics, and airborne unexploded ordnance (UXO) discrimination. Representative case histories that illustrate the range of exciting new geoscience that has been enabled by the developing techniques are presented from important application areas such as hydrogeology, contamination, UXO and landmines, soils and agriculture, archeology, and hazards and climate.
Journal Article
An Earth-Sized Planet in the Habitable Zone of a Cool Star
The quest for Earth-like planets is a major focus of current exoplanet research. Although planets that are Earth-sized and smaller have been detected, these planets reside in orbits that are too close to their host star to allow liquid water on their surfaces. We present the detection of Kepler-186f, a 1.11 ± 0.14 Earth-radius planet that is the outermost of five planets, all roughly Earth-sized, that transit a 0.47 ± 0.05 solar-radius star. The intensity and spectrum of the star's radiation place Kepler-186f in the stellar habitable zone, implying that if Kepler-186f has an Earth-like atmosphere and water at its surface, then some of this water is likely to be in liquid form.
Journal Article
A UBV Photometric Survey of the Kepler Field
ABSTRACT We present the motivations for and methods we used to create a new ground-based photometric survey of the field targeted by the NASA Kepler Mission. The survey contains magnitudes for 4,416,007 sources in one or more of the UBV filters, including 1,861,126 sources detected in all three filters. The typical completeness limit is U ∼ 18.7, B ∼ 19.3, and V ∼ 19.1 mag, but varies by location. The area covered is 191 deg2 and includes the areas on and between the 42 Kepler CCDs, as well as additional areas around the perimeter of the Kepler field. The major significance of this survey is our addition of U to the optical bandpass coverage available in the Kepler Input Catalog, which was primarily limited to the redder SDSS griz and D51 filters. The U coverage reveals a sample of the hottest sources in the field, many of which are not currently targeted by Kepler, but may be objects of astrophysical interest.
Journal Article
Radar diagnostic testing for classification of unmarked graves
A simple diagnostic testing procedure is described to help non-expert practitioners search for unmarked graves at historic burial sites using ground-penetrating radar. The methodology, which includes real-time video-assisted documentation of GPR apparatus trajectories, is illustrated with data from a historic cemetery in Texas, USA. The acquired radargrams are classified, from which unmarked-grave decisions are made under strict, moderate, and lax thresholds. Since there is no gold standard, an alternative strategy for decision-making is adopted assuming the distribution of radar signatures generated by the marked graves is the same as the distribution generated by the unmarked graves. About half of the marked graves generated no discernible radar signature, so this proportion of the unmarked graves is likely to be missed. About one-third of the marked graves generated the tell-tale signature of a deep-seated hyperbola so this proportion of the unmarked graves is likely to be found. The remaining signals are complex and ambiguous. The uncertainty is due to the wide variety of radar signatures that are expressed by burials. The diagnostic testing procedure allows a non-expert practitioner to develop acuity in recognizing unmarked-grave signatures and hone a decision-making capability that leads to improved stakeholder trust.
Journal Article
Thresholding Analysis and Feature Extraction from 3D Ground Penetrating Radar Data for Noninvasive Assessment of Peanut Yield
This study explores the efficacy of utilizing a novel ground penetrating radar (GPR) acquisition platform and data analysis methods to quantify peanut yield for breeding selection, agronomic research, and producer management and harvest applications. Sixty plots comprising different peanut market types were scanned with a multichannel, air-launched GPR antenna. Image thresholding analysis was performed on 3D GPR data from four of the channels to extract features that were correlated to peanut yield with the objective of developing a noninvasive high-throughput peanut phenotyping and yield-monitoring methodology. Plot-level GPR data were summarized using mean, standard deviation, sum, and the number of nonzero values (counts) below or above different percentile threshold values. Best results were obtained for data below the percentile threshold for mean, standard deviation and sum. Data both below and above the percentile threshold generated good correlations for count. Correlating individual GPR features to yield generated correlations of up to 39% explained variability, while combining GPR features in multiple linear regression models generated up to 51% explained variability. The correlations increased when regression models were developed separately for each peanut type. This research demonstrates that a systematic search of thresholding range, analysis window size, and data summary statistics is necessary for successful application of this type of analysis. The results also establish that thresholding analysis of GPR data is an appropriate methodology for noninvasive assessment of peanut yield, which could be further developed for high-throughput phenotyping and yield-monitoring, adding a new sensor and new capabilities to the growing set of digital agriculture technologies.
Journal Article
Yield Adjustment Using GPR-Derived Spatial Covariance Structure in Cassava Field: A Preliminary Investigation
Many processes concerning below-ground plant performance are not fully understood, such as spatial and temporal dynamics and their relation to environmental factors. Accounting for these spatial patterns is very important as they may be used to adjust for the estimation of cassava fresh root yield masked by field heterogeneity. The yield of cassava is an important characteristic that every breeder seeks to maintain in their germplasm. Ground-Penetrating Radar (GPR) has proven to be an effective tool for studying the below-ground characteristics of developing plants, but it has not yet been explored with respect to its utility in normalizing spatial heterogeneity in agricultural field experiments. In this study, the use of GPR for this purpose was evaluated in a cassava field trial conducted in Momil, Colombia. Using the signal amplitude of the GPR radargram from each field plot, we constructed a spatial plot error structure using the variance of the signal amplitude and developed GPR-based autoregressive (AR) models for fresh root yield adjustment. The comparison of the models was based on the average standard error (SE) of the Best Linear Unbiased Estimator (BLUE) and through majority voting (MV) with respect to the SE of the genotype across the models. Our results show that the GPR-based AR model outperformed the other models, yielding an SE of 9.57 and an MV score of 88.33%, while the AR1 × AR1 and IID models had SEs of 10.15 and 10.56% and MV scores of 17.37 and 0.00%, respectively. Our results suggest that GPR can serve a dual purpose in non-destructive yield estimation and field spatial heterogeneity normalization in global root and tuber crop programs, presenting a great potential for adoption in many applications.
Journal Article
Prediction of Root Biomass in Cassava Based on Ground Penetrating Radar Phenomics
Cassava as a world food security crop still suffers from an inadequate means to measure early storage root bulking (ESRB), a trait that describes early maturity and a key characteristic of improved cassava varieties. The objective of this study is to evaluate the capability of ground penetrating radar (GPR) for non-destructive assessment of cassava root biomass. GPR was evaluated for this purpose in a field trial conducted in Ibadan, Nigeria. Different methods of processing the GPR radargram were tested, which included time slicing the radargram below the antenna surface in order to reduce ground clutter; to remove coherent sub-horizontal reflected energy; and having the diffracted energy tail collapsed into representative point of origin. GPR features were then extracted using Discrete Fourier Transformation (DFT), and Bayesian Ridge Regression (BRR) models were developed considering one, two and three-way interactions. Prediction accuracies based on Pearson correlation coefficient (r) and coefficient of determination (R2) were estimated by the linear regression of the predicted and observed root biomass. A simple model without interaction produced the best prediction accuracy of r = 0.64 and R2 = 0.41. Our results demonstrate that root biomass can be predicted using GPR and it is expected that the technology will be adopted by cassava breeding programs for selecting early stage root bulking during the crop growth season as a novel method to dramatically increase crop yield.
Journal Article