2,029 research outputs found

    Random subtrees of complete graphs

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    We study the asymptotic behavior of four statistics associated with subtrees of complete graphs: the uniform probability pnp_n that a random subtree is a spanning tree of KnK_n, the weighted probability qnq_n (where the probability a subtree is chosen is proportional to the number of edges in the subtree) that a random subtree spans and the two expectations associated with these two probabilities. We find pnp_n and qnq_n both approach ee1.692e^{-e^{-1}}\approx .692, while both expectations approach the size of a spanning tree, i.e., a random subtree of KnK_n has approximately n1n-1 edges

    Gas−Surface Chemical Reactions at High Collision Energies?

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    Most gas−surface chemical reactions occur via reaction of adsorbed species to form a thermal-energy (kT) product; however, some instances exist where an energetic projectile directly reacts with an adsorbate in a single-collision event to form a hyperthermal product (with a kinetic energy of a few eV). Here we show for the first time that 30−300 eV F^+ bombardment of fluorinated Ag and Si surfaces produces “ultrafast” F_2^− products with exit energies of up to 90 eV via a multistep direct-reaction mechanism. Experiments conclusively show that the projectile F atom ends up in the fast molecular product despite the fact that the impact energy is far greater than typical bond energies

    Numerical Validation of a Boundary Element Method With E and E/N as the Boundary Unknowns

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    We recently developed a surface integral equation method where the electric field and its normal derivative are chosen as the boundary unknowns. After reviewing this formulation, we present preliminary numerical calculations that show good agreement with the known results. These calculations are encouraging and invite the further development of the numerical solution.Peer reviewe

    Family and Consumer Sciences Extension Agent Receptiveness to Innovative Caregiving Programming

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    Communities can adapt to residents\u27 needs through innovative citizen-led initiatives. Extension can facilitate these innovation initiatives, but are Extension agents always receptive to such change? We conducted a study to examine the association between organizational change and personal factors and Extension family and consumer sciences agents\u27 innovativeness regarding caregiving programming. Respondents rated their receptiveness to change and answered questions regarding psychosocial health factors. We found that years in current position, leadership self-efficacy, interoffice support, and social support were significant predictors of innovativeness. Results suggest that personal factors rather than organizational change factors may be the more crucial mechanisms for driving agents\u27 innovativeness

    Contextual effects on the perceived health benefits of exercise: The exercise rank hypothesis

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    Many accounts of social influences on exercise participation describe how people compare their behaviors to those of others. We develop and test a novel hypothesis, the exercise rank hypothesis, of how this comparison can occur. The exercise rank hypothesis, derived from evolutionary theory and the decision by sampling model of judgment, suggests that individuals' perceptions of the health benefits of exercise are influenced by how individuals believe the amount of exercise ranks in comparison with other people's amounts of exercise. Study 1 demonstrated that individuals' perceptions of the health benefits of their own current exercise amounts were as predicted by the exercise rank hypothesis. Study 2 demonstrated that the perceptions of the health benefits of an amount of exercise can be manipulated by experimentally changing the ranked position of the amount within a comparison context. The discussion focuses on how social norm-based interventions could benefit from using rank information

    Implementation of geriatric assessment in oncology settings: A systematic realist review

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    Older adults with cancer are more likely to have worse clinical outcomes than their younger counterparts, and shared decision-making can be difficult, due to both complexity from adverse ageing and under-representation in clinical trials. Geriatric assessment (GA) has been increasingly recognised as a predictive and prehabilitative tool for older adults with cancer. However, GA has been notoriously difficult to implement in oncological settings due to workforce, economic, logistical, and practical barriers. We aimed to review the heterogenous literature on implementation of GA in oncology settings to understand the different implementation context configurations of GA and the mechanisms they trigger to enable successful implementation. A systematic realist review was undertaken in two stages: i) systematic searches with structured data extraction combined with iterative key stakeholder consultations to develop programme theories for implementing GA in oncology settings; ii) synthesis to refine programme theories. Medline, Embase, PsycInfo, Cochrane Library, CINAHL, Web of Science, Scopus, ASSIA, Epistemonikos, JBI Database of Systematic Reviews and Implementation Reports, DARE and Health Technology Assessment were searched. Four programme theories were developed from 53 included articles and 20 key stakeholder consultations addressing the major barriers of GA implementation in oncology practice: time (leveraging non-specialists), funding (creating favourable health economics), practicalities (establishing the use of GA in cancer care), and managing limited resources. We demonstrate that a whole system approach is required to improve the implementation of GA in cancer settings. This review will help inform policy decisions regarding implementation of GA and provide a basis for further implementation research

    Money, Well-Being, and Loss Aversion: Does an Income Loss Have a Greater Effect on Well-Being Than an Equivalent Income Gain?

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    Higher income is associated with greater well-being, but do income gains and losses affect well-being differently? Loss aversion, whereby losses loom larger than gains, is typically examined in relation to decisions about anticipated outcomes. Here, using subjective-well-being data from Germany (N = 28,723) and the United Kingdom (N = 20,570), we found that losses in income have a larger effect on well-being than equivalent income gains and that this effect is not explained by diminishing marginal benefits of income to well-being. Our findings show that loss aversion applies to experienced losses, challenging suggestions that loss aversion is only an affective-forecasting error. By failing to account for loss aversion, longitudinal studies of the relationship between income and well-being may have overestimated the positive effect of income on well-being. Moreover, societal well-being might best be served by small and stable income increases, even if such stability impairs long-term income growth

    Automated Foosball Table

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    This project is the second iteration of an automated foosball table for Yaskawa America as a trade show display. The table is meant to provide an interactive experience which highlights the speed and precision of the Yaskawa hardware. The first iteration of the project was mainly focused on creating the physical hardware for the system and to begin the basic programming for the system. This phase of the project was focused on finalizing the physical hardware of the system, implementing the vision system and to continue the basic programing of the system AI. A third team will be assigned to bring the project to completion by fully implementing the AI system and making any required changes to the physical hardware which are required. The automated Foosball system is comprised of two major system elements. The first element is the motor cabinet, which houses the PLC, motors and amplifiers used to actuate the system. It also acts as a display case for the motors system. The other major element is the foosball table itself, which is comprised of several subsystem components. The foosball table system contains a vision arch which houses the vision system, a playfield cover which prevents users from injury, and a roof which blocks direct lighting on the table. Several hardware components were created or modified during this phase of the project. The roof structure was designed and built complete this quarter, as were brackets which connected the motor cabinet and foosball table. A gap cover was also designed and built to cover an exposed portion of the motor cabinet. While not fully completed, the hardware used in the safety system has been begun and should be completed by the future team. The scoring system for the table was also approached during this phase of the project, and it was concluded that the current scoreboard should be redesigned. The original vision system started by the first team was found to be insufficient to meet the requirements of the foosball system. To simplify the process of creating the vision system, a Cognex Insight 7400 camera system was donate d to the project by Cognex. This camera system was found to be sufficient to meet the minimum requirements of the project with relatively little work. Future teams should focus on improving the frame rate of the vision system. The AI program developed during this phase is working and playable, though it is relatively crude. Future iterations of the AI program should use sequential function charts to organize the program and predictive play should be implemented. More sophisticated play strategies can also be implemented to improve the playability of the system

    A rapid screening method for the detection of specialised metabolites from bacteria: induction and suppression of metabolites from Burkholderia species

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    Screening microbial cultures for specialised metabolites is essential for the discovery of new biologically active compounds. A novel, cost-effective and rapid screening method is described for extracting specialised metabolites from bacteria grown on agar plates, coupled with HPLC for basic identification of known and potentially novel metabolites. The method allows the screening of culture collections to identify optimal production strains and metabolite induction conditions. The protocol was optimised on two Burkholderia species known to produce the antibiotics, enacyloxin IIa (B. ambifaria) and gladiolin (B. gladioli), respectively; it was then applied to strains of each species to identify high antibiotic producers. B. ambifaria AMMD and B. gladioli BCC0238 produced the highest concentrations of the respective antibiotic under the conditions tested. To induce expression of silent biosynthetic gene clusters, the addition of low concentrations of antibiotics to growth media was evaluated as known elicitors of Burkholderia specialised metabolites. Subinhibitory concentrations of trimethoprim and other clinically therapeutic antibiotics were evaluated and screened against a panel of B. gladioli and B. ambifaria. To enhance rapid strain screening with more antibiotic elicitors, antimicrobial susceptibility testing discs were included within the induction medium. Low concentrations of trimethoprim suppressed the production of specialised metabolites in B. gladioli, including the toxins, toxoflavin and bongkrekic acid. However, the addition of trimethoprim significantly improved enacylocin IIa concentrations in B. ambifaria AMMD. Rifampicin and ceftazidime significantly improved the yield of gladiolin and caryoynencin by B. gladioli BCC0238, respectively, and cepacin increased 2-fold with tobramycin in B. ambifaria BCC0191. Potentially novel metabolites were also induced by subinhibitory concentrations of tobramycin and chloramphenicol in B. ambifaria. In contrast to previous findings that low concentrations of antibiotic elicit Burkholderia metabolite production, we found they acted as both inducers or suppressors dependent on the metabolite and the strains producing them. In conclusion, the screening protocol enabled rapid characterization of Burkholderia metabolites, the identification of suitable producer strains, potentially novel natural products and an understanding of metabolite regulation in the presence of inducing or suppressing conditions
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