3,526 research outputs found

    Panel III: State Preemptions

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    Moderator: Douglas Crawford-Brown, PhD, Director, Institute for the Environment and Professor of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill Sean Donahue, JD, Adjunct Professor, Georgetown Law School, Federal Climate Legislation: To Preempt or To Not Preempt? Hari Osofsky, JD, Assistant Professor, University of Oregon School of Law, Litigating Urban Growth and Climate Change: Reflections on California v. San Bernardino County Jonas Monast, JD, Manager of Corporate and Government Relations, Climate Change Policy Partnership, Duke University, Harmonizing State and Federal Carbon Market

    Draft Whole-Genome Sequences of Periodontal Pathobionts Porphyromonas gingivalis, Prevotella intermedia, and Tannerella forsythia Contain Phase-Variable Restriction-Modification Systems

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    Periodontal disease comprises mild to severe inflammatory host responses to oral bacteria that can cause destruction of the tooth-supporting tissue. We report genome sequences for 18 clinical isolates of Porphyromonas gingivalis, Prevotella intermedia, and Tannerella forsythia, Gram-negative obligate anaerobes that play a role in the periodontal disease process

    Consideration of Interference Correlation Properties in a JD-CDMA Mobile Radio System with Coherent Receiver Antenna Diversity

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    In code division multiple access (CDMA) mobile radio systems, both intersymbol interference and multiple access interference arise which can be combatted by using Joint Detection (JD) techniques, to reduce the degradation in performance resulting from time variance, coherent receiver antenna diversity (CRAD) can be used. The application of JD techniques offers the possibility to exploit the knowledge of noise covariances at the receiver. If only intercell (cochannel) interference is considered, the noise covariances in the uplink receiver of a multiple receiver antenna CDMA mobile radio system depend mainly on the directions of arrival (DOAs) of the interfering signals and the receiver antenna placement. Therefore, if the interferer DOAs are known at the base station, these covariances could be estimated. In this thesis, a realistic model of the uplink of a JD CDMA mobile radio system with CRAD is described in which the above mentioned interference cancelling method is used. Simulation results according to this model are given and evaluated.Applied SciencesElectrical EngineeringTelecommunications and Traffic Control Systems Grou

    Dairy farmers’ perceptions toward the implementation of on-farm Johne’s disease prevention and control strategies

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    mplementation of specific management strategies on dairy farms is currently the most effective way to reduce the prevalence of Johne’s disease (JD), an infectious chronic enteritis of ruminants caused by Mycobacterium avium subspecies paratuberculosis (MAP). However, dairy farmers often fail to implement recommended strategies. The objective of this study was to assess perceptions of farmers participating in a JD prevention and control program toward recommended practices, and explore factors that influence whether or not a farmer adopts risk-reducing measures for MAP transmission. Semi-structured interviews were conducted with 25 dairy farmers enrolled in a voluntary JD control program in Alberta, Canada. Principles of classical grounded theory were used for participant selection, interviewing, and data analysis. Additionally, demographic data and MAP infection status were collected and analyzed using quantitative questionnaires and the JD control program database. Farmers’ perceptions were distinguished according to 2 main categories: first, their belief in the importance of JD, and second, their belief in recommended JD prevention and control strategies. Based on these categories, farmers were classified into 4 groups: proactivists, disillusionists, deniers, and unconcerned. The first 2 groups believed in the importance of JD, and proactivists and unconcerned believed in proposed JD prevention and control measures. Groups that regarded JD as important had better knowledge about best strategies to reduce MAP transmission and had more JD risk assessments conducted on their farm. Although not quantified, it also appeared that these groups had more JD prevention and control practices in place. However, often JD was not perceived as a problem in the herd and generally farmers did not regard JD control as a “hot topic” in communications with their herd veterinarian and other farmers. Recommendations regarding how to communicate with farmers and motivate various groups of farmers according to their specific perceptions were provided to optimize adoption of JD prevention and control measures and thereby increase success of voluntary JD control programs

    The oculomotor neural integrator uses a behavior-related coordinate system

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    Coordinate systems are a central issue in computational neuroscience: are they explicitly represented at some reductive level of brain function, and if so, are they only trivial products of associated anatomic geometries? This investigation examined these questions in the neural network that holds eye position, the so-called oculomotor integrator. Since neural activity in the integrator is behaviorally constrained by Listing's law to encode horizontal and vertical eye positions within Listing's plane and zero rotation about the orthogonal torsional axis, it was hypothesized that any integrator coordinate system would be developmentally predisposed to align with Listing's plane. A test for this hypothesis was developed with the use of a kinematically correct model of the three-dimensional saccade generator. Three mathematical integrators were used to represent the neuron populations that control torsional, vertical, and horizontal eye position. Simulated failure of the torsional and vertical integrators produced eye position drift that was parallel to the horizontal plane containing the intrinsic coordinate axes for these components. Furthermore, this drift settled toward a resting range parallel to the intrinsic vertical coordinate axis (for horizontal rotation). To experimentally identify these intrinsic population coordinates, three- dimensional eye positions were measured in four Macaca fascicularis after injection of muscimol into the mesencephalic interstitial nucleus of Cajal (INC), a technique that disrupts the torsional and vertical integrators (Crawford et al., 1991). INC inactivation produced exponential, position-dependent decay in vertical and torsional eye position. There was no position-dependent horizontal drift, but in the original coordinate system (defined arbitrarily by the measurement apparatus) there was a constant-direction horizontal drift. However, this extraneous horizontal drift was eliminated when the data were transformed into a coordinate system that aligned with Listing's plane. The direction of torsional drift correlated well (r = 0.85), across all experiments, with the normal to Listing's plane. On average, these two directions were only 0.06 degrees from perfect alignment. In contrast, drift direction did not correlate with stereotaxic coordinates (r = 0.10). Furthermore, the drift settled toward a range parallel to and correlated with Listing's plane (r = 0.94), whereas this range did not correlate well with stereotaxic coordinates (r = 0.02). On average, the resting range was aligned within 0.98 degrees of Listing's plane. Finally, this resting range was near orthogonal (average 91.9 degrees across all experiments) to the direction of torsional drift. These results show that integrator cell populations use an orthogonal, craniotopic coordinate system that aligns with Listing's plane.(ABSTRACT TRUNCATED AT 250 WORDS)</jats:p

    Knowledge gaps that hamper prevention and control of Mycobacterium avium subspecies paratuberculosis infection

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    In the last decades, many regional and country‐wide control programmes for Johne's disease (JD ) were developed due to associated economic losses, or because of a possible association with Crohn's disease. These control programmes were often not successful, partly because management protocols were not followed, including the introduction of infected replacement cattle, because tests to identify infected animals were unreliable, and uptake by farmers was not high enough because of a perceived low return on investment. In the absence of a cure or effective commercial vaccines, control of JD is currently primarily based on herd management strategies to avoid infection of cattle and restrict within‐farm and farm‐to‐farm transmission. Although JD control programmes have been implemented in most developed countries, lessons learned from JD prevention and control programmes are underreported. Also, JD control programmes are typically evaluated in a limited number of herds and the duration of the study is less than 5 year, making it difficult to adequately assess the efficacy of control programmes. In this manuscript, we identify the most important gaps in knowledge hampering JD prevention and control programmes, including vaccination and diagnostics. Secondly, we discuss directions that research should take to address those knowledge gaps

    Evaluation of an alternative method of herd classification for infection with paratuberculosis in cattle herds in the United States

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    Objective - To develop a better system for classification of herd infection status for paratuberculosis (Johne&apos;s disease JD]) in US cattle herds on the basis of the risk of potential transmission of Mycobacterium avium subsp paratubeculosis. Sample - Simulated data for herd size and within-herd prevalence; sensitivity and specificity for test methods obtained from consensus-based estimates. Procedures - Interrelationships among variables influencing interpretation and classification of herd infection status for JD were evaluated by use of simulated data for various herd sizes, true within-herd prevalences, and sampling and testing methods. The probability of finding ≥1 infected animal in herds was estimated for various testing methods and sample sizes by use of hypergeometric random sampling. Results - 2 main components were required for the new herd JD classification system: the probability of detection of infection determined on the basis of test results from a sample of animals and the maximum detected number of animals with positive test results. Tables were constructed of the estimated probability of detection of infection, and the maximum number of cattle with positive test results or fecal pools with positive culture results with 95% confidence for classification of herd JD infection status were plotted. Herd risk for JD was categorized on the basis of 95% confidence that the true within-herd prevalence was ≤15%, ≤10%, ≤5%, or ≤2%. Conclusions and Clinical Relevance - Analysis of the findings indicated that a scientifically rigorous and transparent herd classification system for JD in cattle is feasible.Source type: Electronic(1

    Nebraska Criminal Justice Review: December 2023

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    Contents: The Affordable Housing Crisis, by Ann O’Connor IG and Ombudsman still available, by Jeanie Mezger New NDCS Medical Director, by Jeanie Mezger NDCS Policy 205.02: Visiting restrictions on those who have committed crimes in which the victims were minor-aged children (under 19 years of age), by Mel Beckman Carceral Redlining – The Path to Prison through Policy, Practices and Processes, by Terri L. Crawford, JD Gun Violence and Harm Reduction, by Jeanie Mezger Strategic Planning, by Rob Jeffreys The High Costs of Communicating While Incarcerated, by Terri L. Crawford, JD LB50: Advocating on the Frontline, by Jasmine L. Harris OIG: 2023 Annual Report, by Jeanie Mezger Adverse Childhood Experiences, by Todd Cook One Brick at a Time: Civil Conversation, by Jason Witmer Letters4122

    Factors associated with participation of Alberta dairy farmers in a voluntary, management-based Johne’s disease control program

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    The Alberta Johne's Disease Initiative (AJDI) is a voluntary, management-based prevention and control program for Johne's disease (JD), a wasting disease in ruminants that causes substantial economic losses to the cattle industry. Despite extensive communication about the program's benefits and low cost to participating producers, approximately 35% of Alberta dairy farmers have not enrolled in the AJDI. Therefore, the objective was to identify differences between AJDI nonparticipants and participants that may influence enrollment. Standardized questionnaires were conducted in person on 163 farms not participating and 61 farms participating in the AJDI. Data collected included demographic characteristics, internal factors (e.g., attitudes and beliefs of the farmer toward JD and the AJDI), external factors (e.g., farmers' JD knowledge and on-farm goals and constraints), as well as farmers' use and influence of various information sources. Nonparticipants and participants differed in at least some aspects of all studied categories. Based on logistic regression, participating farms had larger herds, higher self-assessed knowledge of JD, better understanding of AJDI details before participation, and used their veterinarian more often to get information about new management practices and technologies when compared with nonparticipants. In contrast, nonparticipants indicated that time was a major on-farm constraint and that participation in the AJDI would take too much time. They also indicated that they preferred to wait and see how the program worked on other farms before they participated

    Deadly meals: The influence of personal and job factors on burnout and risky riding behaviours of food delivery motorcyclists

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    Food delivery riders are overrepresented in road crashes. Arguably, the increased risk experienced by food delivery riders is linked to the working conditions offered by the “gig economy”. Research is needed to fully understand the safety-related issues this vulnerable group of road users face daily and identify opportunities for counter measures. In this investigation, we proposed a new theoretical model to explain the risky behaviour of food delivery motorcyclists based on the well-established Job Demands-Resources (JD-R) model. Following the JD-R, we considered the impact of job demands (job aspects that require sustained effort) and job resources (job aspects that help achieve work-related goals, reduce job demands and stimulate personal development) on the risky riding behaviours of food delivery motorcyclists. The JD-R model was also extended with three constructs, including personal demands, personal resources, and perceived safety risk to explore the role of individuals' within-person aspects. The developed model was tested using data collected from 554 food delivery riders in the two biggest cities in Vietnam. The results showed that job burnout, job resources, and personal demands directly impact risky riding behaviours, in which job burnout was the most significant predictor. Constructs such as job demands, personal resources, and perceived safety risk were not significant predictors of risky riding behaviours. This research shows that organisation-level factors could be modified to prevent risky riding behaviour. The gig economy industry can do much more to improve the safety of delivery riders.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Safety and Security Scienc
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