Relevant bibliographies by topics / Aggregation

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Academic literature on the topic 'Aggregation'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 July 2024

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Journal articles on the topic "Aggregation"

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Dowling, Natalie A., Stephen J. Hall, and Richard McGarvey. "Assessing population sustainability and response to fishing in terms of aggregation structure for greenlip abalone (Haliotis laevigata) fishery management." Canadian Journal of Fisheries and Aquatic Sciences 61, no. 2 (February 1, 2004): 247–59. http://dx.doi.org/10.1139/f03-165.

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The greenlip abalone (Haliotis laevigata) population in Waterloo Bay, South Australia, has undergone collapse and fishery closure twice since 1978. A rich data set, including survey measures of degree of spatial aggregation, has been gathered over that time and provides a unique opportunity to identify factors accounting for persistence or collapse, an issue that is of significance to abalone fisheries worldwide. Statistical analyses of fishery and survey data were undertaken to infer functional relationships between catch, effort, recruitment, adult density, and extent of aggregation. Catch rates were hyperstable, an observation consistent with the targeting of large aggregations. Statistical analysis of recruitment showed a significant year effect, implying an environmental signal, and suggested that aggregation size impacts fertilization success. Aggregation size grew under closure, suggesting an impact of fishing on this demographic feature. Aggregative behaviour appears to be critical for subpopulation sustainability. Fishery collapse may be triggered by depletion of larger abalone aggregations by heavy fishing, resulting in declines in fertilized egg production. When heavy fishing coincides with unfavourable environmental conditions, recruitment may be insufficient to sustain the subpopulation. If aggregation is similarly critical for other subpopulations, management strategies could be adapted according to the extent of aggregation in each subpopulation.
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Martin, Ian D., and David R. Barton. "The formation of diapause aggregations by larvae of Neophylax fuscus Banks (Trichoptera: Limnephilidae) and their influence on mortality and development." Canadian Journal of Zoology 65, no. 11 (November 1, 1987): 2612–18. http://dx.doi.org/10.1139/z87-396.

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Fifth-instar larvae of the caddisfly Neophylax fuscus Banks (Trichoptera: Limnephilidae) enter a 4-month diapause in April after aggregating on the undersides of stream rocks in gravel cases. Aggregations have up to several hundred members, and densities within aggregations range from 1000 to 17 263 cases/m2. Field experiments conducted between 1984 and 1986 showed that larvae preferred to settle where initial larvae had already attached, but that there was no evidence for a chemical cue for aggregation. Mortality during the diapause but before pupation averaged 37.9%. Both exposure to low water and high density within aggregations contributed to increased mortality. Parasitism and predation appeared to be rare. The developmental synchrony of pupae and emergence synchrony were related to aggregation density during diapause. Low density aggregations tended to have low synchrony of development and emergence, while high density aggregations had higher synchrony.
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Dowling, Natalie A., Stephen J. Hall, and Richard McGarvey. "Simulations of random fishing behaviour as an independent validation for the effect of active targeting of greenlip abalone (Haliotis laevigata) aggregations." Canadian Journal of Fisheries and Aquatic Sciences 61, no. 2 (February 1, 2004): 260–72. http://dx.doi.org/10.1139/f03-164.

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Although active targeting of abalone aggregations is documented for various species, its impact on large aggregations is poorly understood. As large aggregations make the greatest contribution to reproductive success, yet are vulnerable to exploitation, it is important to understand how targeted fishing impacts aggregation structure. If observed postfishing patterns are equally likely to have occurred in response to more random, nontargeted fishing, then changes in aggregation patterns cannot be directly attributed to aggregation-based targeting behaviour. The effect of targeted fishing on greenlip abalone (Haliotis laevigata) aggregations was verified by simulating three different levels of "random" fishing behaviour to generate postfishing aggregation frequency distributions. Comparison of the output with postfishing survey distributions suggested that observed aggregation patterns could not have resulted from random search behaviour. The aggregation survey data can therefore be used as a valid basis on which to quantify both fishing behaviour in terms of aggregation-specific catch patterns and the response of aggregations to fishing.
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Rüger, Korbinian. "Aggregation with Constraints." Utilitas 32, no. 4 (July 7, 2020): 454–71. http://dx.doi.org/10.1017/s095382082000014x.

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AbstractUtilitarianism is often criticized because of its reliance on the interpersonal aggregation of harms and benefits. However, since the rejection of all forms of interpersonal aggregation strikes most people as implausible, some critics of utilitarianism have proposed theories of Limited Aggregation. These occupy the middle ground between fully aggregative and non-aggregative views. Recently, Limited Aggregation has been criticized for having counterintuitive implications that seem even worse than the counterintuitive implications of fully aggregative and non-aggregative views it tried to escape. I here propose a new view of Limited Aggregation that does better than existing accounts in this regard. It is more modest than existing accounts of Limited Aggregation, but it retains the view's core idea. This, I claim, is the thought that sometimes very strong individual claims stand in the way of realizing the best outcome.
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Yu, Yushi, Jiangnan Sun, Yaqing Chang, and Chong Zhao. "High fitness areas drive the aggregation of the sea urchin Mesocentrotus nudus." PeerJ 10 (January 19, 2022): e12820. http://dx.doi.org/10.7717/peerj.12820.

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Sea urchin aggregation is a common phenomenon in coastlines. However, it remains controversial whether sea urchins form resource aggregations or behavioral aggregations in a non-spawning season. To clarify, we studied the aggregative responses to food and predators in the sea urchin Mesocentrotus nudus when high fitness areas (HFAs) were scarce versus sufficient. By taking the occupied area of each sea urchin (test diameter + spines = 4.5 cm) as a square (4.5 cm × 4.5 cm), we set scarce HFAs for the sea urchins in Experiment 1 (the squares of HFAs: the area occupied by experimental sea urchins = 1:1) and sufficient HFAs for the sea urchins in Experiment 2 (the squares of HFAs: the area occupied by experimental sea urchins = 2:1). If M. nudus form resource aggregations, they would aggregate passively under the scarce HFAs conditions, but not in the sufficient HFAs conditions. Conversely, if M. nudus form behavioral aggregation, aggregation would occur in both scarce and sufficient HFAs. The present results showed that in the scarce HFAs, M. nudus in the food and predator groups were significantly closer to the food and further from predators, and had significantly more aggregated numbers in HFAs than those in the control group. Sea urchins did not aggregate in response to food or predators under the sufficient HFAs, although significantly more sea urchins of the experimental group was found in HFAs than that of the control group. Sea urchins (at least M. nudus) form resource aggregations that are driven by the scarce HFAs. This provides valuable information into the mechanisms of the aggregation of sea urchins.
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Burgos, Julian M., and John K. Horne. "Sensitivity analysis and parameter selection for detecting aggregations in acoustic data." ICES Journal of Marine Science 64, no. 1 (October 25, 2006): 160–68. http://dx.doi.org/10.1093/icesjms/fsl007.

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Abstract Burgos, J. M., and Horne, J. K. 2007. Sensitivity analysis and parameter selection for detecting aggregations in acoustic data. ICES Journal of Marine Science, 64: 160–168. A global sensitivity analysis was conducted on the algorithm implemented in the Echoview ® software to detect and describe aggregations in acoustic backscatter. Multiple aggregation detections were performed using walleye pollock (Theragra chalcogramma) data from the eastern Bering Sea. Walleye pollock form distinct aggregations and dense and diffuse layers. In each aggregation detection, input parameters defining minimum size, density, and distance to other aggregations were selected at random using a Latin hypercube sampling design. Sensitivity was quantified by testing for correlation among input parameters and a series of aggregation descriptors. In all, 336 correlation tests were performed, corresponding to a combination of seven detection input parameters, eight aggregation descriptors, and six transects. Among these, 181 tests were significant, indicating sensitivity between input parameters and aggregation descriptors. The aggregation-detection algorithm is sensitive to changes in threshold and minimum size, but less sensitive to changes in the connectivity criterion among aggregations.
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Shishkov, Olga, and Orit Peleg. "Social insects and beyond: The physics of soft, dense invertebrate aggregations." Collective Intelligence 1, no. 2 (October 2022): 263391372211237. http://dx.doi.org/10.1177/26339137221123758.

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Aggregation is a common behavior by which groups of organisms arrange into cohesive groups. Whether suspended in the air (like honey bee clusters), built on the ground (such as army ant bridges), or immersed in water (such as sludge worm blobs), these collectives serve a multitude of biological functions, from protection against predation to the ability to maintain a relatively desirable local environment despite a variable ambient environment. In this review, we survey dense aggregations of a variety of insects, other arthropods, and worms from a soft matter standpoint. An aggregation can be orders of magnitude larger than its individual organisms, consisting of tens to hundreds of thousands of individuals, and yet functions as a coherent entity. Understanding how aggregating organisms coordinate with one another to form a superorganism requires an interdisciplinary approach. We discuss how considering the physics of an aggregation can yield additional insights to those gained from ecological and physiological considerations, given that the aggregating individuals exchange information, energy, and matter continually with the environment and one another. While the connection between animal aggregations and the physics of non-living materials has been proposed since the early 1900s, the recent advent of physics of behavior studies provides new insights into social interactions governed by physical principles. Current efforts focus on eusocial insects; however, we show that these may just be the tip of an iceberg of superorganisms that take advantage of physical interactions and simple behavioral rules to adapt to changing environments. By bringing attention to a wide range of invertebrate aggregations, we wish to inspire a new generation of scientists to explore collective dynamics and bring a deeper understanding of the physics of dense living aggregations.
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Ambarak, Muhammad Zhaqif, Medy Ompi, Darus Sa’dah J. Paransa, Joice R. T. S. L. Rimper, Antonius P. Rumengan, and Nego E. Bataragoa. "Keanekaragaman Makrobentos yang Menempati Agregasi Kerang, Septifer bilocullaris di Tiwoho, Kabupaten Minahasa Utara, Sulawesi Utara." JURNAL PESISIR DAN LAUT TROPIS 9, no. 3 (October 4, 2021): 133. http://dx.doi.org/10.35800/jplt.9.3.2021.38043.

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The purpose of this study was to determine the type and diversity of macrobenthos that inhabit the aggregation of Septifer bilocularis shellfish in the coastal waters of Tiwoho, North Minahasa Regency, North Sulawesi. Sampling of macrobenthos was carried out using core (PVC), both at the position of small aggregation (AK), middle large aggregation (ABT), and large edge aggregation (ABP). Sampling was carried out 4 times on different aggregations of shellfish. The data has been analyzed using the Diversity Index (H), the dominance index (D), and the Uniformity Index (E). It was identified that there were 25 types of macrobenthos occupying all aggregations of septifer bilocularis shells, which came from 11 classes including Gastropods, Bivalves, Malacostraca, Florideiphyceae, Ulvophyceae Ophiuroidea, Clitelatta, Maxillopoda, Globothalamea, Tubothalamea and Phaeophyceae. Biota diversity index varies from 1.60 – 1.70 which indicates that the biota in each aggregation has moderate diversity. The uniformity index value also varied, namely 0.069 for macrobenthos occupying the small aggregation (AK), then 0.066 in the middle large aggregation (ABT) and 0.064 in the large margin aggregation (GBP), which indicates the low uniformity of the macrobenthos in each aggregation. The dominance index of all aggregations was obtained between 0.27 - 0.36, which indicates that there is no species dominance for macrobenthos occupying different shellfish aggregations.Keywords: Diversity, Macrobenthos, Septifer bilocularis, Tiwoho
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Nanami, Atsushi. "Spawning aggregations of checkered snapper (Lutjanus decussatus) and blackspot snapper (L. fulviflamma): seasonality, lunar-phase periodicity and spatial distribution within spawning ground." PeerJ 11 (September 11, 2023): e15991. http://dx.doi.org/10.7717/peerj.15991.

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Snappers (family Lutjanidae) are important fisheries target species and some species are known to form spawning aggregations at particular spawning grounds. The present study investigated the ecological characteristics of fish aggregations of two snapper species (checkered snapper Lutjanus decussatus and blackspot snapper L. fulviflamma) that form at a particular site. Specifically, the aims were to clarify (1) seasonality and lunar-phase periodicity of fish aggregation formation, (2) fine-scale spatial distribution of fish density (spatial variations of fish density at intervals of several-tens meters) within the aggregation site, (3) size and age frequency distributions of fishes in the aggregation site, (4) gonad development, (5) to compare fish abundance between inside and outside the aggregation site, and (6) to verify that fish aggregations of the two snapper species were spawning aggregation. Underwater observations using a 600 m × 5 m transect revealed that greater fish abundance of Lutjanus decussatus was found monthly between May and October, and clear positive peaks in the fish abundance were found only around the last-quarter moon. This lunar-related periodicity in the increase of fish abundance was confirmed by a time-series analysis (correlogram). Within the aggregation site, L. decussatus showed a relatively uniform distribution. In contrast, greater fish abundance of L. fulviflamma was found monthly between April and October, and clear positive peaks in the fish abundance were found around the last-quarter moon (April, May, June and October) or new moon (July, August and September). This lunar-related periodicity was also confirmed by correlogram. Lutjanus fulviflamma showed a relatively clumped distribution within the aggregation site. Most females of the two species in the aggregation site had hydrated eggs, indicating that the two species form aggregations for reproduction. The two species, although occurring simultaneously, are considered to form aggregations of conspecifics only. For L. decussatus, average fork length and age of males and females were 229.2 mm and 243.9 mm and 9.4 years and 8.1 years, respectively. For L. fulviflamma, average fork length and age of males and females were 233.9 mm and 246.9 mm and 6.8 years and 8.1 years, respectively. Fish abundance inside the aggregation site was 266.8-fold and 141557.1-fold greater than those outside the aggregation site for L. decussatus and L. fulviflamma, respectively. These results showed that (1) fish aggregation formation of the two snapper species was predictably repeated in particular months and lunar-phase, (2) it was predictably found at the particular site, (3) the fish abundance in the aggregation site markedly exceeded the fish abundance outside the aggregation site, and (4) the two species form aggregations for reproduction. Therefore, it is suggested that the fish aggregations for the two species can be regarded as spawning aggregations.
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Vasconcelos, Raquel, Sara Rocha, and Xavier Santos. "Sharing refuges on arid islands: ecological and social influence on aggregation behaviour of wall geckos." PeerJ 5 (January 10, 2017): e2802. http://dx.doi.org/10.7717/peerj.2802.

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BackgroundThe extent of social behaviour among reptiles is underappreciated. Two types of aggregations are recognized in lizards: ecological and social, i.e., related to the attraction to a site or to animals of the same species, respectively. As most lizards are territorial, aggregations increase the probability of aggressive interactions among individuals, a density-dependent behaviour.MethodsAfter some spurious observations of aggregation behaviour in the endemic Cabo Verde nocturnal geckoTarentola substituta,we conducted a field-based study in order to thoroughly characterize it. We sampled 48 transects and 40 10 × 10 m quadrats on São Vicente Island to describe the incidence, size and composition of aggregations and to study the effect of gecko and refuge density, plus refuge quality, on refuge sharing. We hypothesize that when density of animals and scarcity of high-quality refuges is higher, lizards have increased probability of aggregating. We also predict a consistent pattern of size and composition of groups (male–female pairs, only one adult male per group) throughout the year if there is a selected behaviour to avoid agonistic interactions, and low thermal advantage to aggregating individuals.ResultsWe present one of the first evidences of aggregation for Phyllodactylidae geckos. We found thatT. substitutaforms aggregations around 30–40% of the time, and that refuges are almost always shared by a female-male pair, sometimes with a juvenile, probably a mechanism to avoid aggressive interactions. We also observed that refuge sharing is dependent on refuge quality, as medium–large (thermally more stable and positively selected) rocks are shared much more frequently than small ones, but independent of adult sizes. Refuge sharing is also directly related to the density of geckos and inversely related to the density of high-quality refuges. We found no relation between body temperatures of geckos and refuge sharing when controlling the effect of rock/air temperature, suggesting that huddling does not improve thermoregulation.DiscussionOur results suggest that in this harsh environment (rocks reach 46 °C) aggregation incidence is mainly driven by an ecological factor (scarcity of high-quality refuges) and its intersexual composition by social factors (avoidance of agonistic interactions by males, and possible increased reproductive success of the pair). This study sheds some light on the little explored gecko aggregation behaviour and other studies should follow.
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Dissertations / Theses on the topic "Aggregation"

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Chen, Fei. "Bacterial auto-aggregation and co-aggregation in activated sludge." Connect to this title online, 2007. http://etd.lib.clemson.edu/documents/1211384981/.

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Bijoux, Jude peter. "Reef fish spawning aggregation sites : the ecology of aggregating and resident species." Thesis, Aix-Marseille, 2013. http://www.theses.fr/2013AIXM4013.

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Les sites d'agrégation de ponte (AP) sont des zones où des poissons d'une même espèce se rassemblent pour frayer. En dépit de leur importance dans la reproduction de nombreuses espèces de poissons des récifs coralliens, bien peu de sites d'AP sont gérés. Le but de cette étude est d'améliorer la compréhension générale sur l'écologie des sites d'AP en vue de faciliter la gestion. L'étude, réalisée aux Seychelles, se concentre sur les individus regroupant sur les sites d'AP pour frayer et aussi sur ceux résidant sur ces sites. La télémétrie acoustique et le recensement visuel sous-marin ont, ici, été employé comme principaux outils d'observation des espèces formant des agrégations de reproduction (cordonnier (Siganus sutor), mérou camouflage (Epinephelus polyphekadion) et mérou marbré (E. fuscoguttatus)) et des espèces résidant sur les sites d'AP. Les détections acoustiques ont montré que les individus de S. sutor présentent une grande fidélité à leur site de ponte et une périodicité liée à la période de pleine lune. Par ailleurs, les agrégations de ponte d'E. fuscoguttatus et E. polyphekadion se chevauchent spatialement et temporellement avec une forte périodicité liée à la nouvelle lune. La formation d'AP de E. fuscoguttatus et E. polyphekadion provoque des changements complexes dans l'assemblage de poissons résidents sur le site. L'effet de la phase lunaire sur les assemblages de poissons résidant sur les sites d'AP de S. Sutor apparait être dépendant de l'échelle considérée. Les informations sur la dynamique spatiale et temporelle des espèces étudiée sont utilisées pour proposer des mesures de gestion susceptibles d'améliorer la protection des sites d'AP
Fish spawning aggregation (FSA) sites are areas where repeated concentration of conspecific fish gathers for the purpose of spawning. Despite of their importance in the reproduction of many coral reef fishes, few FSA sites are actively managed. The aim of this study, conducted in the Seychelles, was to improve general understanding on the ecology of FSA sites to facilitate their management. It focuses on both the individuals that aggregate at FSA sites to spawn and those that are resident at FSA sites. Acoustic telemetry and underwater visual census were used to study three species that form spawning aggregations (spinefoot shoemaker (Siganus sutor), Camouflage grouper (Epinephelus polyphekadion) and Brown-marbled grouper (E. fuscoguttatus)) and the resident fish assemblages at FSA sites. Acoustic detections found individual S. sutor to have high fidelity to individual FSA sites and to show significant periodicity with the full moon period in the timing of their arrival and departure from FSA sites. Conversely, spawning aggregations of E. fuscoguttatus and E. polyphekadion overlapped spatially and temporally, with strong periodicity for spawning aggregation to form with the new moon period. The formation of E. fuscoguttatus and E. polyphekadion FSAs caused complex changes in the fish assemblage that is resident at the FSA site. The effect of lunar phase on the resident fish assemblages at S. sutor FSA sites appeared to be scale-dependent, having greater impact at the larger than the smaller FSA site. Information on the spatial and temporal dynamics of aggregating and resident fish species is used to propose management actions to improve the protection of FSA sites
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Höfer, Thomas. "Modelling Dictyostelium aggregation." Thesis, University of Oxford, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.320227.

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Pranami, Gaurav. "Understanding nanoparticle aggregation." [Ames, Iowa : Iowa State University], 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3369880.

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Brolin, Jonas, and Mikael Hedegren. "Packet Aggregation in Linux." Thesis, Karlstad University, Division for Information Technology, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-1726.

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Voice over IP (VoIP) traffic in a multi-hop wireless mesh network (WMN) suffers from a large overhead due to mac/IP/UDP/RTP headers and time collisions. A consequence of the large overhead is that only a small number of concurrent VoIP calls can be supported in a WMN[17]. Hop-to-hop packet aggregation can reduce network overhead and increase the capacity. Packet aggregation is a concept which combines several small packets, destined to a common next-hop destination, to one large packet. The goal of this thesis was to implement packet aggregation on a Linux distribution and to increase the number of concurrent VoIP calls. We use as testbed a two-hop WMN with a fixed data rate of 2Mbit/s. Traffic was generated between nodes using MGEN[20] to simulate VoIP behavior. The results from the tests show that the number of supported concurrent flows in the testbed is increased by 135% compared to unaggregated traffic.

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Putau, Aliaksei. "Organocuprate aggregation and reactivity." Diss., lmu, 2012. http://nbn-resolving.de/urn:nbn:de:bvb:19-147566.

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Rochon, Yvan P. (Yvan Pierre). "Dynamics of neutrophil aggregation." Thesis, McGill University, 1991. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=70210.

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Neutrophil aggregation has been widely evaluated from changes in light transmission. Using direct particle counting, we demonstrated that light transmission does not accurately reflect aggregation, and showed that in contrast to previous reports, newborn neutrophils do not aggregate irreversibly. We developed a flow cytometric technique to measure the kinetics of neutrophil aggregation, including latent times for onset of aggregation, initial forward and reversal rates, and maximal extents of aggregation. The kinetics of neutrophil aggregation were related to changes in initial cell concentration, stir speed (shear), and activator type and concentration. Physiologic activators stimulated reversible aggregation, accompanied by an exponential decay in aggregatory potential with increasing time. The fraction of occupied activator receptors was found to correspond to the fraction of maximal rates or extent of aggregation. Monoclonal antibodies were used to show that neutrophil aggregation is mediated by the Mac-1 integrin (CD11b/CD18). Direct measurements of aggregation have enhanced our understanding of the (patho)physiologic process of neutrophil aggregation.
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Pusch, John J. "Monetary aggregation in Canada." Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=22623.

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This thesis is an empirical comparison of the relationship between money and other key economic variables and investigates an alternative method of defining money in Canada. Severe theoretical problems with traditional monetary aggregation methods are identified and Divisia aggregates are examined through the use of index number and aggregation theory. Summation and Divisia aggregates are constructed, tested and compared in three critical areas: information content, causality and stability. In particular this thesis investigates whether Divisia money is a potentially useful indicator of economic conditions. The data consists of Canadian quarterly observations for the period 1968.1 to 1989.4 for 26 different monetary assets and their own rates of return. The Divisia indices do not clearly outperform their summation counterparts but do show consistent and stable growth trends during the period in question. The results show that Divisia monetary aggregation is theoretically more appealing than the simple sum approach and that Divisia money provides meaningful information for Canadian monetary policy.
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Hirose, Iwao. "Equality, priority, and aggregation." Thesis, University of St Andrews, 2004. http://hdl.handle.net/10023/2690.

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In this dissertation, I discuss two distributive principles in moral philosophy: Derek Parfit's Prioritarianism and Egalitarianism. I attempt to defend a version of Egalitarianism, which I call Weighted Egalitarianism. Although Parfit claims that Egalitarianism is subject to what he calls the Levelling Down Objection, I show (a) that my proposed Weighted Egalitarianism is not subject to the Objection, and (b) that it gives priority to the worse off people. The real difference between the two principles lies in how the weight of each person's well-being is determined. Prioritarianism assumes that there is a moral scale of the goodness of well-being, independently of distributions of people's well-being. I raise two objections to this claim: firstly, it is hard to believe that the choice of the level of well-being affects our distributive judgement; secondly, it is hard to believe that there is such a moral scale independently of distributions of people's well-being. On the other hand, Weighted Egalitarianism claims that the weight is given by the rank order position of the person in the ranking by well-being level. This means that, in Weighted Egalitarianism, the goodness of a distribution is an increasing, linear function of people's well-being. Weighted Egalitarianism is not affected by the choice of the level of people's well-being. Nor does it require require the moral scale of the goodness of well-being independently of distributions of people's well-being. Leximin, which might be a version of Prioritarianism, avoids my objections. But it is hard to support Leximin, because it rules out the trade off between the better off and the worse off. I conclude that Weighted Egalitarianism is more acceptable than Prioritarianism.
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Brus, T. "Multimodality, uncertainty and aggregation." Thesis, University of Warwick, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.372199.

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Books on the topic "Aggregation"

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Clint, John H. Surfactant Aggregation. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2272-6.

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Calvo, Tomasa, Gaspar Mayor, and Radko Mesiar, eds. Aggregation Operators. Heidelberg: Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-7908-1787-4.

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Cieplak, Andrzej Stanisław, ed. Protein Aggregation. New York, NY: Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-2597-2.

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Clint, John H. Surfactant aggregation. Glasgow: Blackie, 1992.

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Tang, Youhong, and Ben Zhong Tang, eds. Aggregation-Induced Emission. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89933-2.

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Aleskerov, Fuad. Arrovian Aggregation Models. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4757-4542-9.

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Eliezer, David, ed. Protein Amyloid Aggregation. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-2978-8.

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Levmore, Saul X. Conjunction and aggregation. [Toronto]: Law and Economics Programme, Faculty of Law, University of Toronto, 2000.

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A, Rabinovich I., and Vakhutinsky Ilya, eds. Iterative aggregation theory. New York: Dekker, 1987.

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Aleskerov, F. T. Arrovian aggregation models. Boston: Kluwer Academic, 1999.

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Book chapters on the topic "Aggregation"

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Bährle-Rapp, Marina. "Aggregation." In Springer Lexikon Kosmetik und Körperpflege, 14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71095-0_255.

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Fuchs, Sebastian, Heinz J. Klemmt, and Klaus D. Schmidt. "Aggregation." In EAA Series, 9–16. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30056-6_2.

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Plassmann, Engelbert. "Aggregation." In Contributions to Economics, 81–112. Heidelberg: Physica-Verlag HD, 2003. http://dx.doi.org/10.1007/978-3-642-57336-1_5.

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Pismen, Len. "Aggregation." In Morphogenesis Deconstructed, 11–21. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36814-2_2.

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Hangay, George, Severiano F. Gayubo, Marjorie A. Hoy, Marta Goula, Allen Sanborn, Wendell L. Morrill, Gerd GÄde, et al. "Aggregation." In Encyclopedia of Entomology, 75. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6359-6_108.

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Hens, Thorsten, and Sabine Elmiger. "Aggregation." In Springer Texts in Business and Economics, 133–48. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05427-4_8.

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Lagaly, Gerhard, Oliver Schulz, and Ralf Zimehl. "Aggregation." In Dispersionen und Emulsionen, 435–85. Heidelberg: Steinkopff, 1997. http://dx.doi.org/10.1007/978-3-642-59248-5_12.

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Chatfield, Tom. "Aggregation." In 50 Schlüsselideen Digitale Kultur, 52–55. Heidelberg: Spektrum Akademischer Verlag, 2013. http://dx.doi.org/10.1007/978-3-8274-3064-9_14.

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Shekhar, Shashi, and Hui Xiong. "Aggregation." In Encyclopedia of GIS, 16. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_42.

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Fouche, Quentin, Damien Charabidze, and Mathieu Lihoreau. "Aggregation." In Encyclopedia of Animal Cognition and Behavior, 127–30. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-55065-7_681.

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Conference papers on the topic "Aggregation"

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Buyevich, Yuri A., and Andrei Yu Zubarev. "Reversible Aggregation and Nonlinear Rheology of Fine Suspensions." In ASME 1996 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/imece1996-0243.

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Abstract In this paper, we develop a tentative rheological model for finely dispersed systems whose particles are capable of forming stable aggregates under shear flow conditions. The main achievement of this paper consists in putting forward a physical model for an aggregative structural transition in a flowing dispersion. When shear rate reaches a certain threshold value, rapid aggregation occurs, the aggregates originate as a result of reversible coagulation of particles in a secondary potential minimum characteristic of the molecular interparticle interaction. The aggregated system consists of an assemblage of aggregates that contain many particles and that are suspended in an ambient media that represents a suspension of single individual particles. Aggregation terminates and aggregates disappear when shear rate exceeds another critical value. The aggregated system effective viscosity is determined by the volume concentration of the aggregates and by the volume concentration of single particles in the ambient suspension within the interstices. Since these concentrations, as well as the aggregate size, depend on the shear rate, the effective viscosity is a nonlinear function of shear rate. Our model offers an opportunity to describe both shear-thickening and shear-thinning of aggregating dispersions within the frames of a unified approach.
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Lomas, Andy. "Aggregation." In ACM SIGGRAPH 2005 Sketches. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1187112.1187230.

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Pellegrini, Giovanni, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, and Manfred Jaeger. "Learning Aggregation Functions." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/398.

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Learning on sets is increasingly gaining attention in the machine learning community, due to its widespread applicability. Typically, representations over sets are computed by using fixed aggregation functions such as sum or maximum. However, recent results showed that universal function representation by sum- (or max-) decomposition requires either highly discontinuous (and thus poorly learnable) mappings, or a latent dimension equal to the maximum number of elements in the set. To mitigate this problem, we introduce LAF (Learning Aggregation Function), a learnable aggregator for sets of arbitrary cardinality. LAF can approximate several extensively used aggregators (such as average, sum, maximum) as well as more complex functions (e.g. variance and skewness). We report experiments on semi-synthetic and real data showing that LAF outperforms state-of-the-art sum- (max-) decomposition architectures such as DeepSets and library-based architectures like Principal Neighborhood Aggregation, and can be effectively combined with attention-based architectures.
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Hellerstein, Joseph M., Peter J. Haas, and Helen J. Wang. "Online aggregation." In the 1997 ACM SIGMOD international conference. New York, New York, USA: ACM Press, 1997. http://dx.doi.org/10.1145/253260.253291.

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Nakkas, Alper, Kay Yut Chen, and Jie Zhang. "Aggregation Bias." In Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2019. http://dx.doi.org/10.24251/hicss.2019.814.

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Brajnik, Giorgio, Yeliz Yesilada, and Simon Harper. "Guideline aggregation." In the 2009 International Cross-Disciplinary Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1535654.1535686.

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Endriss, Ulle, and Umberto Grandi. "Graph Aggregation." In Companion of the The Web Conference 2018. New York, New York, USA: ACM Press, 2018. http://dx.doi.org/10.1145/3184558.3186231.

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Panwar, Gaurav, Reza Tourani, Satyajayant Misra, and Abderrahmen Mtibaa. "Request aggregation." In ICN '17: 4th International Conference on Information-Centric Networking. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3125719.3132110.

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Murakami, Akiko, and Tetsuya Nasukawa. "Term aggregation." In the 20th international conference. Morristown, NJ, USA: Association for Computational Linguistics, 2004. http://dx.doi.org/10.3115/1220355.1220471.

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Zhu, Dingju, and Jianping Fan. "Aggregation Grid." In 2007 IEEE International Conference on Integration Technology. IEEE, 2007. http://dx.doi.org/10.1109/icitechnology.2007.4290496.

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Reports on the topic "Aggregation"

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Mackas, David L., Mark Trevorrow, Mark Benfield, and David Farmer. Zooplankton Aggregation Near Sills. Fort Belvoir, VA: Defense Technical Information Center, August 2001. http://dx.doi.org/10.21236/ada628127.

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Mackas, David L., Mark Trevorrow, Mark Benfield, and David Farmer. Zooplankton Aggregation Near Sills. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada630077.

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Benfield, Mark C., David L. Mackas, Mark Trevorrow, and David Farmer. Zooplankton Aggregation Near Sills. Fort Belvoir, VA: Defense Technical Information Center, August 2003. http://dx.doi.org/10.21236/ada630082.

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Anderson, James. Consistent Trade Policy Aggregation. Cambridge, MA: National Bureau of Economic Research, May 2008. http://dx.doi.org/10.3386/w14046.

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Fair, Ray, and Robert Shiller. Econometric Modeling as Information Aggregation. Cambridge, MA: National Bureau of Economic Research, May 1987. http://dx.doi.org/10.3386/w2233.

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Berryman, Harry, and Joel Salz. Runtime Aggregation of Recursion Relations. Fort Belvoir, VA: Defense Technical Information Center, January 1989. http://dx.doi.org/10.21236/ada206576.

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Keeni, G. The Managed Object Aggregation MIB. RFC Editor, May 2006. http://dx.doi.org/10.17487/rfc4498.

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Chan, K., J. Babiarz, and F. Baker. Aggregation of Diffserv Service Classes. RFC Editor, February 2008. http://dx.doi.org/10.17487/rfc5127.

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Dow, William, Kristine Gonzalez, and Luis Rosero-Bixby. Aggregation and Insurance Mortality Estimation. Cambridge, MA: National Bureau of Economic Research, July 2003. http://dx.doi.org/10.3386/w9827.

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Redding, Stephen, and David Weinstein. Aggregation and the Gravity Equation. Cambridge, MA: National Bureau of Economic Research, January 2019. http://dx.doi.org/10.3386/w25464.

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