Evolution of soybean weed management in the United States

Weeds have been an unwanted nuisance since the beginning of agriculture. The processes and technologies utilized to manage this yield limiting problem have evolved over time. Soybean [Glycine max (L.) Merr.] production in the United States has experienced all of the major agriculture revolutions. This has included horse-drawn field implements, tractor power implementation, chemical era, and the most recent era of biotechnology. There has been a continuous gain in efficiencies with the discovery and introduction of new technologies to manage weeds in soybeans. A period of rapid discovery and introduction of new and novel herbicide sites of action (SOA) with improved efficacy on target weed populations was experienced. Some of the SOA utilized proved to be more prone to weed populations with herbicide-resistance. Introduction of new herbicide active ingredients, a few new SOA, and herbicide-tolerant crops has been the answer to herbicide-tolerant weed species issues as they have arisen in the past. Herbicide-tolerant weed species are on the rise and new SOA are at a standstill. Biotechnology has offered herbicide-tolerant crops to the industry allowing old chemistries to be utilized in new ways which has aided in the fight against weeds. Land managers must diversify weed management techniques encompassing all cultural, mechanical, and herbicidal methods of weed removal available to preserve the tools and technologies and manage weeds that are increasingly difficult to manage

What motivates students to be sustainability change agents in the face of adversity?

The world faces significant challenges that require transformative changes facilitated by Sustainability Change Agents (SCAs). Universities around the world have explicitly taken up the responsibility of developing in students the skills and knowledge (i.e., competencies) necessary to be successful SCAs. While there is clear convergence around planning competencies, intrapersonal and implementation competencies have recently emerged in the literature. These competencies will have to remain effective even in the face of adversity, yet too little is known about sources of motivation for SCAs and how motivation can be maintained despite these inevitable setbacks. Since the needed transformations will be collective processes, motivation to be a SCA needs to be understood in the social and realistic context in which they would be applied. This study sought to gain specific insights into: 1.) What motivates students to be SCAs? 2.) How do these SCAs maintain their motivation in the face of setbacks? 3.) What can higher education institutions (e.g., universities, colleges) do to better support the motivation of SCAs? In order to gain insights into these questions, 83 aspiring SCAs were surveyed and their responses analyzed using qualitative content analysis. For this group of SCAs, the key source of motivation evolved from a focus on nature, learning, and individual behavior to a more social view with a concern for structural change. Moreover, social networks and intrapersonal skills helped to restore students' motivation following setbacks. Despite being university students, the SCAs surveyed had already experienced significant setbacks and, largely without institutional support, learned strategies to overcome them and maintain their motivation. Motivation and the skills, knowledge, and experience of how to maintain the drive for positive change in the face of setbacks is crucial in order for SCAs to be capable of supporting the critically needed transformations, and universities must play their part in fostering the SCAs' capability.PostprintPeer reviewe

Fabrication of Electrochemical-DNA Biosensors for the Reagentless Detection of Nucleic Acids, Proteins and Small Molecules

As medicine is currently practiced, doctors send specimens to a central laboratory for testing and thus must wait hours or days to receive the results. Many patients would be better served by rapid, bedside tests. To this end our laboratory and others have developed a versatile, reagentless biosensor platform that supports the quantitative, reagentless, electrochemical detection of nucleic acids (DNA, RNA), proteins (including antibodies) and small molecules analytes directly in unprocessed clinical and environmental samples. In this video, we demonstrate the preparation and use of several biosensors in this "E-DNA" class. In particular, we fabricate and demonstrate sensors for the detection of a target DNA sequence in a polymerase chain reaction mixture, an HIV-specific antibody and the drug cocaine. The preparation procedure requires only three hours of hands-on effort followed by an overnight incubation, and their use requires only minutes

Ultrasound-determined diameter measurements are more accurate than axial computed tomography after endovascular aortic aneurysm repair

ObjectiveThis study evaluated the correlation of ultrasound (US)-derived aortic aneurysm diameter measurements with centerline, three-dimensional (3-D) reconstruction computed tomography (CT) measurements after endovascular aortic aneurysm repair (EVAR).MethodsConcurrent CT and US examinations from 82 patients undergoing post-EVAR surveillance were reviewed. The aortic aneurysm diameter was defined as the major axis on the centerline images of 3-D CT reconstruction. This was compared with US-derived minor and major axis measurements, as well as with the minor axis measurement on the conventional axial CT images. Correlation was evaluated with linear regression analyses. Agreement between different imaging modalities and measurements was assessed with Bland-Altman plots.ResultsThe correlation coefficients from linear regression analyses were 0.92 between CT centerline major and US minor measurements, 0.94 between CT centerline major and US major measurements, and 0.93 between CT minor and centerline major measurements. Bland-Altman plots showed a mean difference of 0.11 mm between US major and CT centerline measurements compared with 5.38 mm between US minor and CT centerline measurements, and 4.25 mm between axial CT minor and centerline measurements. This suggested that, compared with axial CT and US minor axis measurements, US major axis measurements were in better agreement with CT centerline measurements. Variability between major and minor US and CT centerline diameter measurements was high (standard deviation of difference, 4.27-4.84 mm). However, high variability was also observed between axial CT measurements and centerline CT measurements (standard deviation of difference, 4.36 mm).ConclusionsThe major axis aneurysm diameter measurement obtained by US imaging for surveillance after EVAR correlates well and is in better agreement with centerline 3-D CT reconstruction diameters than axial CT

Streamlining Out of Court Disposals Assessing the Impact on Reoffending and Police Practice

Police services in England and Wales have developed varied approaches to the use of conditional cautions, and this study examines the effectiveness of one set of reforms: a Revised Conditional Caution Framework. With an overall aim of diverting offenders from the Criminal Justice System and addressing offenders’ criminogenic needs, various programmes of meaningful activity were mandated for offenders. The Revised Conditional Caution Framework refers offenders to a relevant ‘pathway’, to address their offending behaviour(s). If an offender fails to complete the activity within the relevant pathway, without good reason, they revert back through the court system. The aim of the Revised Conditional Caution Framework was to apply meaningful conditions to the conditional caution (e.g. alcohol educational intervention), to focus upon addressing the root cause of the offending behaviour. In this study, the authors evaluated the effectiveness of the Revised Conditional Caution Framework in reducing reoffending. The research was conducted between January 2018 and May 2019 and adopted a mixed methodology of qualitative and quantitative research; notably, focus groups with police officers, semi-structured interviews with offenders and pathway providers and an analysis of police data on offender compliance levels. We found that the Revised Conditional Caution Framework is perceived by many professionals and offenders to provide a platform for tackling the root cause of recidivism and thereby reducing reoffending. It is argued that the premise of Revised Conditional Caution Framework is one that conceives of offending in individualistic terms that pay insufficient attention to the social and economic context in which offending is situated. The article also raises questions about the impact of the Revised Conditional Caution Framework on police professionalism and argues that it might be understood as a restriction on the exercise of discretion since it further restricts officers’ scope to respond to offenders and criminal behaviour

Identifying the clinical domains of fibromyalgia: Contributions from clinician and patient delphi exercises

Objective In evaluating the effectiveness of fibromyalgia (FM) therapies, it is important to assess the impact of those therapies on the full array of domains considered important by both clinicians and patients. The objective of this research was to identify and prioritize the key clinically relevant and important domains impacted by FM that should be evaluated by outcome assessment instruments used in FM clinical trials, and to approach consensus among clinicians and patients on the priority of those domains to be assessed in clinical care and research. Methods Group consensus was achieved using the Delphi method, a structured process of consensus building via questionnaires together with systematic and controlled opinion feedback. The Delphi exercises involved 23 clinicians with expertise in FM and 100 patients with FM as defined by American College of Rheumatology criteria. Results The Delphi exercise revealed that the domains ranked most highly by patients were similar to the domain rankings by clinicians. Pain was consistently ranked highest by both panels. Fatigue, impact on sleep, health-related quality of life, comorbid depression, and cognitive difficulty were also ranked highly. Stiffness was ranked highly by patients but not clinicians. In contrast, side effects was important to clinicians but was not identified as important in the patient Delphi exercise. Conclusion The clinician and patient Delphi exercises identified and ranked key domains that need to be assessed in FM research. Based on these results, a conceptual framework for measuring patient-reported outcomes is proposed.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/60452/1/23826_ftp.pd

Data from: Genotyping-by-Sequencing for Populus Population Genomics: An Assessment of Genome Sampling Patterns and Filtering Approaches

Continuing advances in nucleotide sequencing technology are inspiring a suite of genomic approaches in studies of natural populations. Researchers are faced with data management and analytical scales that are increasing by orders of magnitude. With such dramatic advances comes a need to understand biases and error rates, which can be propagated and magnified in large-scale data acquisition and processing. Here we assess genomic sampling biases and the effects of various population-level data filtering strategies in a genotyping-by-sequencing (GBS) protocol. We focus on data from two species of Populus, because this genus has a relatively small genome and is emerging as a target for population genomic studies. We estimate the proportions and patterns of genomic sampling by examining the Populus trichocarpa genome (Nisqually-1), and demonstrate a pronounced bias towards coding regions when using the methylation-sensitive ApeKI restriction enzyme in this species. Using population-level data from a closely related species (P. tremuloides), we also investigate various approaches for filtering GBS data to retain high-depth, informative SNPs that can be used for population genetic analyses. We find a data filter that includes the designation of ambiguous alleles resulted in metrics of population structure and Hardy-Weinberg equilibrium that were most consistent with previous studies of the same populations based on other genetic markers. Analyses of the filtered data (27,910 SNPs) also resulted in patterns of heterozygosity and population structure similar to a previous study using microsatellites. Our application demonstrates that technically and analytically simple approaches can readily be developed for population genomics of natural populations

CheapStat: An Open-Source, “Do-It-Yourself” Potentiostat for Analytical and Educational Applications

Although potentiostats are the foundation of modern electrochemical research, they have seen relatively little application in resource poor settings, such as undergraduate laboratory courses and the developing world. One reason for the low penetration of potentiostats is their cost, as even the least expensive commercially available laboratory potentiostats sell for more than one thousand dollars. An inexpensive electrochemical workstation could thus prove useful in educational labs, and increase access to electrochemistry-based analytical techniques for food, drug and environmental monitoring. With these motivations in mind, we describe here the CheapStat, an inexpensive (<$80), open-source (software and hardware), hand-held potentiostat that can be constructed by anyone who is proficient at assembling circuits. This device supports a number of potential waveforms necessary to perform cyclic, square wave, linear sweep and anodic stripping voltammetry. As we demonstrate, it is suitable for a wide range of applications ranging from food- and drug-quality testing to environmental monitoring, rapid DNA detection, and educational exercises. The device's schematics, parts lists, circuit board layout files, sample experiments, and detailed assembly instructions are available in the supporting information and are released under an open hardware license

The Third Gravitational Lensing Accuracy Testing (GREAT3) Challenge Handbook

The GRavitational lEnsing Accuracy Testing 3 (GREAT3) challenge is the third in a series of image analysis challenges, with a goal of testing and facilitating the development of methods for analyzing astronomical images that will be used to measure weak gravitational lensing. This measurement requires extremely precise estimation of very small galaxy shape distortions, in the presence of far larger intrinsic galaxy shapes and distortions due to the blurring kernel caused by the atmosphere, telescope optics, and instrumental effects. The GREAT3 challenge is posed to the astronomy, machine learning, and statistics communities, and includes tests of three specific effects that are of immediate relevance to upcoming weak lensing surveys, two of which have never been tested in a community challenge before. These effects include realistically complex galaxy models based on high-resolution imaging from space; spatially varying, physically-motivated blurring kernel; and combination of multiple different exposures. To facilitate entry by people new to the field, and for use as a diagnostic tool, the simulation software for the challenge is publicly available, though the exact parameters used for the challenge are blinded. Sample scripts to analyze the challenge data using existing methods will also be provided. See http://great3challenge.info and http://great3.projects.phys.ucl.ac.uk/leaderboard/ for more information.Comment: 30 pages, 13 figures, submitted for publication, with minor edits (v2) to address comments from the anonymous referee. Simulated data are available for download and participants can find more information at http://great3.projects.phys.ucl.ac.uk/leaderboard

Probing the Interiors of Very Hot Jupiters Using Transit Light Curves

Accurately understanding the interior structure of extra-solar planets is critical for inferring their formation and evolution. The internal density distribution of a planet has a direct effect on the star-planet orbit through the gravitational quadrupole field created by the rotational and tidal bulges. These quadrupoles induce apsidal precession that is proportional to the planetary Love number ($k_{2p}$, twice the apsidal motion constant), a bulk physical characteristic of the planet that depends on the internal density distribution, including the presence or absence of a massive solid core. We find that the quadrupole of the planetary tidal bulge is the dominant source of apsidal precession for very hot Jupiters ($a \lesssim 0.025$ AU), exceeding the effects of general relativity and the stellar quadrupole by more than an order of magnitude. For the shortest-period planets, the planetary interior induces precession of a few degrees per year. By investigating the full photometric signal of apsidal precession, we find that changes in transit shapes are much more important than transit timing variations. With its long baseline of ultra-precise photometry, the space-based \emph{Kepler} mission can realistically detect apsidal precession with the accuracy necessary to infer the presence or absence of a massive core in very hot Jupiters with orbital eccentricities as low as $e \simeq 0.003$. The signal due to $k_{2p}$ creates unique transit light curve variations that are generally not degenerate with other parameters or phenomena. We discuss the plausibility of measuring $k_{2p}$ in an effort to directly constrain the interior properties of extra-solar planets.Comment: updated, improved, and expanded manuscript has been accepted by the Astrophysical Journal; 19 pages, 7 figure