406 research outputs found

    A characterisation of weakly locally projective amalgams related to A16A_{16} and the sporadic simple groups M24M_{24} and HeHe

    Full text link
    A simple undirected graph is weakly GG-locally projective, for a group of automorphisms GG, if for each vertex xx, the stabiliser G(x)G(x) induces on the set of vertices adjacent to xx a doubly transitive action with socle the projective group Lnx(qx)L_{n_x}(q_x) for an integer nxn_x and a prime power qxq_x. It is GG-locally projective if in addition GG is vertex transitive. A theorem of Trofimov reduces the classification of the GG-locally projective graphs to the case where the distance factors are as in one of the known examples. Although an analogue of Trofimov's result is not yet available for weakly locally projective graphs, we would like to begin a program of characterising some of the remarkable examples. We show that if a graph is weakly locally projective with each qx=2q_x =2 and nx=2n_x = 2 or 33, and if the distance factors are as in the examples arising from the rank 3 tilde geometries of the groups M24M_{24} and HeHe, then up to isomorphism there are exactly two possible amalgams. Moreover, we consider an infinite family of amalgams of type Un\mathcal{U}_n (where each qx=2q_x=2 and n=nx+1≄4n=n_x+1\geq 4) and prove that if n≄5n\geq 5 there is a unique amalgam of type Un\mathcal{U}_n and it is unfaithful, whereas if n=4n=4 then there are exactly four amalgams of type U4\mathcal{U}_4, precisely two of which are faithful, namely the ones related to M24M_{24} and HeHe, and one other which has faithful completion A16A_{16}

    The built environment predicts observed physical activity

    Get PDF
    Background: In order to improve our understanding of the relationship between the built environment and physical activity, it is important to identify associations between specific geographic characteristics and physical activity behaviors. Purpose: Examine relationships between observed physical activity behavior and measures of the built environment collected on 291 street segments in Indianapolis and St. Louis. Methods: Street segments were selected using a stratified geographic sampling design to ensure representation of neighborhoods with different land use and socioeconomic characteristics. Characteristics of the built environment on-street segments were audited using two methods: in-person field audits and audits based on interpretation of Google Street View imagery with each method blinded to results from the other. Segments were dichotomized as having a particular characteristic (e.g., sidewalk present or not) based on the two auditing methods separately. Counts of individuals engaged in different forms of physical activity on each segment were assessed using direct observation. Non-parametric statistics were used to compare counts of physically active individuals on each segment with built environment characteristic. Results: Counts of individuals engaged in physical activity were significantly higher on segments with mixed land use or all non-residential land use, and on segments with pedestrian infrastructure (e.g., crosswalks and sidewalks) and public transit. Conclusion: Several micro-level built environment characteristics were associated with physical activity. These data provide support for theories that suggest changing the built environment and related policies may encourage more physical activity

    Disentangling bottom-up and top-down effects on survival during early ocean residence in a population of Chinook salmon (Oncorhynchus tshawytscha

    Get PDF
    Abstract: We evaluated the relative importance of "bottom-up" (production-limited) and "top-down" (predator-mediated) processes during early marine residence in a population of Chinook salmon (Oncorhynchus tshawytscha) from the upper Columbia River, USA. We examined length, mass, and condition index of age-0 juveniles collected in the ocean during June and September across 11 years in relation to conditions in the river, estuary, and coastal ocean and to future adult returns. Characteristics of juveniles in September, but not June, were related to adult returns. During years when coastal waters were relatively cool and productive, juveniles captured in September displayed relatively low condition and reduced otolith growth compared with years when coastal waters were relatively warm and unproductive; this contrast indicates that top-down effects such as selective mortality or competition are important during early marine residence. Key physical (river plume volume during emigration) and biological (condition) variables and their interaction accounted for >95% of the variation in adult returns. Future research should focus on evaluating predators and competitors and understanding how river plume structure influences survival. RĂ©sumĂ© : Nous avons Ă©valuĂ© l'importance relative des processus ascendants (limitĂ©s par la production) et descendants (modulĂ©s par les prĂ©dateurs) au dĂ©but du sĂ©jour en mer dans une population de saumons quinnat (Oncorhynchus tshawytscha) du cours supĂ©rieur du fleuve Columbia (États-Unis). Nous avons examinĂ© la longueur, la masse et l'indice d'embonpoint de juvĂ©niles de 0 an prĂ©levĂ©s en ocĂ©an durant les mois de juin et septembre pendant 11 ans, par rapport aux conditions dans le fleuve, l'estuaire et le littoral ocĂ©anique, ainsi qu'aux retours d'adultes subsĂ©quents. Les caractĂ©ristiques des juvĂ©niles en septembre, mais non en juin, Ă©taient reliĂ©es aux retours d'adultes. Durant les annĂ©es oĂč les eaux cĂŽtiĂšres Ă©taient relativement froides et productives, les juvĂ©niles capturĂ©s en septembre prĂ©sentaient des indices d'embonpoint et des taux de croissance des otolites relativement faibles par rapport Ă  ceux des juvĂ©niles capturĂ©s durant des annĂ©es d'eaux cĂŽtiĂšres relativement chaudes et non productives. Ces diffĂ©rences indiquent que des effets descendants tels qu'une mortalitĂ© sĂ©lective ou la concurrence sont importants au dĂ©but du sĂ©jour en mer. Des variables physiques (volume du panache fluvial durant l'Ă©migration) et biologiques (embonpoint) clĂ©s et leur interaction expliquaient >95 % de la variabilitĂ© des retours d'adultes. Les travaux de recherche futurs devraient se pencher sur l'Ă©valuation des prĂ©dateurs et des concurrents et la comprĂ©hension de l'influence de la structure du panache fluvial sur la survie. [Traduit par la RĂ©daction

    Ghrelin is not Related to Hunger or Calories Consumed at Breakfast in Lean and Obese Women

    Get PDF
    poster abstractBackground: The mechanisms that result in greater caloric intake in obese individuals are incompletely understood. Ghrelin administration increases ad lib food intake in humans. We investigated the relationship of ghrelin to calorie consumption and hunger at breakfast on two separate occasions in lean and obese women. Methods: 23 lean (BMI 22.3±0.5 kg/m2, 26.5±1.0 yr) and 25 obese (BMI 36.9±0.7 kg/m2, 27.8±1.1 yr) women participated in a noncontiguous 2 day study. The minimum and maximum days between visits were 6 and 43 days. Participants were given the same breakfast on both days (turkey sausage, French toast with margarine/syrup, fruit cup, coffee, tea, diet soda, or water) with portions adjusted to provide 20% of the daily energy requirement for weight maintenance. Subjects were instructed to eat until full. Hunger was evaluated on a Satiety Labeled Intensity Magnitude Scale (SLIM) before and after the meal. Anchors were “greatest imaginable fullness” at 0 and “greatest imaginable hunger” at 100. Blood samples were collected over 120 minutes for measurement of active ghrelin. Results: Lean subjects consumed an equivalent number of calories on both days (380.0±14.6 vs 378.2±14.9 kcal), as did the obese (419.4±16.2 vs 428.8±15.4 kcal). On average for both days, obese consumed significantly more breakfast calories than lean (424.1±11.1 vs 379.1±10.3 kcal; P<0.01), but the same percentage of calories provided (85.7±1.8 vs 86.1±1.7 %kcal). Lean subjects rated hunger before breakfast the same on both days (69.2±1.6 vs 71.7±1.4), as did the obese (69.8±1.6 vs 69.6±1.8), and there was no difference between the groups. Lean subjects rated hunger after breakfast the same on both days (27.8±1.9 vs 30.3±2.4), as did the obese (25.0±1.7 vs 24.3±1.8). The reduction in hunger score following breakfast was significant for both groups (P<0.0001), with the obese reporting significantly less hunger/more fullness after breakfast than the lean (P=0.02). Fasting ghrelin was significantly greater in the lean than obese women (549.9±58.9 vs 231.0±29.1 pg/ml; P<0.0001). Ghrelin was significantly reduced at 60 min following breakfast in the lean (375.8±49.2 pg/ml; P=0.028) but not the obese (212.2±26.4 pg/ml). Ghrelin was not related to hunger score prior to breakfast, and there was no relationship between reduction in ghrelin and hunger score in the lean or obese. Conclusion: Caloric intake (as a percentage provided) and hunger scores before breakfast on two occasions were the same for both lean and obese women. Fasting ghrelin was significantly different between lean and obese women but did not predict hunger score or calories consumed. Our findings do not support a role for ghrelin in driving food intake at breakfast
    • 

    corecore