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Maximum Weight (maximum + weight)
Terms modified by Maximum Weight Selected AbstractsThermal adaptation of Arctic charr: experimental studies of growth in eleven charr populations from Sweden, Norway and BritainFRESHWATER BIOLOGY, Issue 2 2005S. LARSSON Summary 1. Experimental growth data for Arctic charr (Salvelinus alpinus L.), all fed on excess rations, from 11 European watercourses between 54 and 70°N were analysed and fitted to a new general growth model for fish. The model was validated by comparing its predictions with the growth rate of charr in the wild. 2. Growth performance varied among populations, mainly because of variation in the maximum growth potential, whereas the thermal response curves were similar. The estimated lower and upper temperatures for growth varied between ,1.7 to 5.3 and 20.8,23.2 °C, respectively, while maximum growth occurred between 14.4 and 17.2 °C. 3. There was no geographical or climatic trend in growth performance among populations and therefore no indication of thermal adaptation. The growth potential of charr from different populations correlated positively with fish body length at maturity and maximum weight in the wild. Charr from populations including large piscivorous fish had higher growth rates under standardised conditions than those from populations feeding on zoobenthos or zooplankton. Therefore, the adaptive variation in growth potential was related to life-history characteristics and diet, rather than to thermal conditions. [source] Functional Incidental Training: A Randomized, Controlled, Crossover Trial in Veterans Affairs Nursing HomesJOURNAL OF AMERICAN GERIATRICS SOCIETY, Issue 7 2005Joseph G. Ouslander MD Objectives: To test the effects of a rehabilitative intervention directed at continence, mobility, endurance, and strength (Functional Incidental Training (FIT)) in older patients in Department of Veterans Affairs (VA) nursing homes. Design: Randomized, controlled, crossover trial. Setting: Four VA nursing homes. Participants: All 528 patients in the nursing homes were screened; 178 were eligible, and 107 were randomized to an immediate intervention group (Group 1; n=52) and a delayed intervention group (Group 2; n=55). Intervention: Trained research staff provided the FIT intervention, which included prompted voiding combined with individualized, functionally oriented endurance and strength-training exercises offered four times per day, 5 days per week, for 8 weeks. Group 1 received the intervention while Group 2 served as a control group; then Group 2 received the intervention while Group 1 crossed over to no intervention. A total of 64 subjects completed the intervention phase of the trial. Measurements: Timed measures of walking or wheeling a wheelchair (mobility), sit-to-stand exercises, independence in locomotion and toileting as assessed using the Functional Independence Measure (FIM), one-repetition maximum weight for several measures of upper and lower body strength, frequency of urine and stool incontinence, and appropriate toileting ratios. Results: There was a significant effect of the FIT intervention on virtually all measures of endurance, strength, and urinary incontinence but not on the FIM for locomotion or toileting. The effects of FIT were observed when Group 1 received the intervention and was compared with the control group and when Group 2 crossed over to the intervention. Group 1 deteriorated in all measures during the 8-week crossover period. Within-person comparisons also demonstrated significant effects on all measures in the 64 participants who completed the intervention; 43 (67%) of these participants were "responders" based on maintenance or improvement in at least one measure of endurance, strength, and urinary incontinence. No adverse events related to FIT occurred during the study period. Conclusion: FIT improves endurance, strength, and urinary incontinence in older patients residing in VA nursing homes. Translating these positive benefits achieved under research conditions into practice will be challenging because of the implications of the intervention for staff workload and thereby the costs of care. [source] Changes in Apple Liquid Phase Concentration throughout Equilibrium in Osmotic DehydrationJOURNAL OF FOOD SCIENCE, Issue 2 2007J.M. Barat ABSTRACT:, Previous results on apple tissue equilibration during osmotic dehydration showed that, at very long processing times, the solute concentrations of the fruit liquid phase and the osmotic solution were the same. In the present study, changes in apple liquid phase composition throughout equilibrium in osmotic dehydration were analyzed and modeled. Results showed that, by the time osmosed samples reached the maximum weight and volume loss, solute concentration of the fruit liquid phase was higher than that of the osmotic solution. The reported overconcentration could be explained in terms of the apple structure shrinkage that occurred during the osmotic dehydration with highly concentrated osmotic solutions due to the elastic response of the food structure to the loss of water and intake of solutes. The fruit liquid phase overconcentration rate was observed to depend on the concentration of the osmotic solution, the processing temperature, the sample size, and shape of the cellular tissue. [source] Management of the Nile tilapia (Oreochromis niloticus (L.)) fishery in the Kenyan portion of Lake Victoria, in light of changes in its life history and ecologyLAKES & RESERVOIRS: RESEARCH AND MANAGEMENT, Issue 2 2008M. Njiru Abstract This study reports on the population parameters, catch distribution and feeding ecology of Nile tilapia (Oreochromis niloticus) from bottom trawls and commercial catches obtained in the Kenyan portion of Lake Victoria during 1997,2006. The population parameters were analysed using the FAO-ICLARM stock assessment tool (FISAT). The fish biomass and the food ingested by the fish were estimated using the swept area and point methods, respectively. Immature fish comprised ,70% of the total fish population. The asymptotic length, maximum weight, maximum age, exploitation rate (E) and length at 50% maturity of Nile tilapia have decreased, whereas the growth curvature and fishing mortality have increased. The commercial catches increased from 13.93 t in 1997, to 23.70 t in 1999, decreasing thereafter to 18.73 t in 2005. The bottom trawl catches increased from 46.90 kg ha,1 in 1997, to 401.48 kg ha,1 in 2000, decreasing thereafter to 15.57 kg ha,1 in 2006. The major food items ingested by the fish were algae, insects and other fish. Population parameters, and the catch and diet of O. niloticus, have changed over the years in Lake Victoria. The population characteristics suggest a population under stress, attributable to intense catch exploitation. Even under intense exploitation (E = 0.68), however, the mature fish constituted ,30% of the population. The commercial catches are still high, indicating a very resilient fishery. Nevertheless, despite this resilience, the future of Oreochromis fishery is threatened by increased fishing capacity in the lake, and there is need to re-evaluate the effectiveness of current fishery management measures, with the goal of possibly adopting new measures. Enactment of new fishery policies also should provide for co-management to enhance the management process. Furthermore, there is a need to reduce fishing capacity and illegal fishing methods, and to seek alternative livelihoods for lake fishers and other stakeholders. [source] The clique partitioning problem: Facets and patching facetsNETWORKS: AN INTERNATIONAL JOURNAL, Issue 4 2001Maarten Oosten Abstract The clique partitioning problem (CPP) can be formulated as follows: Given is a complete graph G = (V, E), with edge weights wij , , for all {i, j} , E. A subset A , E is called a clique partition if there is a partition of V into nonempty, disjoint sets V1,,, Vk, such that each Vp (p = 1,,, k) induces a clique (i.e., a complete subgraph), and A = , {{i, j}|i, j , Vp, i , j}. The weight of such a clique partition A is defined as ,{i,j},Awij. The problem is now to find a clique partition of maximum weight. The clique partitioning polytope P is the convex hull of the incidence vectors of all clique partitions of G. In this paper, we introduce several new classes of facet-defining inequalities of P. These suffice to characterize all facet-defining inequalities with right-hand side 1 or 2. Also, we present a procedure, called patching, which is able to construct new facets by making use of already-known facet-defining inequalities. A variant of this procedure is shown to run in polynomial time. Finally, we give limited empirical evidence that the facet-defining inequalities presented here can be of use in a cutting-plane approach for the clique partitioning problem. © 2001 John Wiley & Sons, Inc. [source] Maximum weight independent sets and matchings in sparse random graphs.RANDOM STRUCTURES AND ALGORITHMS, Issue 1 2006Exact results using the local weak convergence method Let G(n,c/n) and Gr(n) be an n -node sparse random graph and a sparse random r -regular graph, respectively, and let I(n,r) and I(n,c) be the sizes of the largest independent set in G(n,c/n) and Gr(n). The asymptotic value of I(n,c)/n as n , ,, can be computed using the Karp-Sipser algorithm when c , e. For random cubic graphs, r = 3, it is only known that .432 , lim infnI(n,3)/n , lim supnI(n,3)/n , .4591 with high probability (w.h.p.) as n , ,, as shown in Frieze and Suen [Random Structures Algorithms 5 (1994), 649,664] and Bollabas [European J Combin 1 (1980), 311,316], respectively. In this paper we assume in addition that the nodes of the graph are equipped with nonnegative weights, independently generated according to some common distribution, and we consider instead the maximum weight of an independent set. Surprisingly, we discover that for certain weight distributions, the limit limnI(n,c)/n can be computed exactly even when c > e, and limnI(n,r)/n can be computed exactly for some r , 1. For example, when the weights are exponentially distributed with parameter 1, limnI(n,2e)/n , .5517, and limnI(n,3)/n , .6077. Our results are established using the recently developed local weak convergence method further reduced to a certain local optimality property exhibited by the models we consider. We extend our results to maximum weight matchings in G(n,c/n) and Gr(n). For the case of exponential distributions, we compute the corresponding limits for every c > 0 and every r , 2. © 2005 Wiley Periodicals, Inc. Random Struct. Alg., 2006 [source] | ||||||||||