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1

Wittek, Neslihan, Hiroshi Matsui, Mehdi Behroozi, et al. "Unihemispheric evidence accumulation in pigeons." Journal of Experimental Psychology: Animal Learning and Cognition 47, no. 3 (2021): 303–16. http://dx.doi.org/10.1037/xan0000290.

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2

Balsdon, Tarryn, Stijn Verdonck, Tim Loossens, and Marios G. Philiastides. "Secondary motor integration as a final arbiter in sensorimotor decision-making." PLOS Biology 21, no. 7 (2023): e3002200. http://dx.doi.org/10.1371/journal.pbio.3002200.

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Sensorimotor decision-making is believed to involve a process of accumulating sensory evidence over time. While current theories posit a single accumulation process prior to planning an overt motor response, here, we propose an active role of motor processes in decision formation via a secondary leaky motor accumulation stage. The motor leak adapts the “memory” with which this secondary accumulator reintegrates the primary accumulated sensory evidence, thus adjusting the temporal smoothing in the motor evidence and, correspondingly, the lag between the primary and motor accumulators. We compar
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3

Melih, Prof Veysi, and Prof Yuksel Caner. "Identification Of Straightforward Aggregate And Divisia Fiscal Accumulation Adopting Board Evidence Inquiry." American Journal of Social Science and Education Innovations 01, no. 05 (2019): 1–4. http://dx.doi.org/10.37547/tajssei/volume01issue05-01.

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4

Hawkins, Guy E., Eric-Jan Wagenmakers, Roger Ratcliff, and Scott D. Brown. "Discriminating evidence accumulation from urgency signals in speeded decision making." Journal of Neurophysiology 114, no. 1 (2015): 40–47. http://dx.doi.org/10.1152/jn.00088.2015.

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The dominant theoretical paradigm in explaining decision making throughout both neuroscience and cognitive science is known as “evidence accumulation”—the core idea being that decisions are reached by a gradual accumulation of noisy information. Although this notion has been supported by hundreds of experiments over decades of study, a recent theory proposes that the fundamental assumption of evidence accumulation requires revision. The “urgency gating” model assumes decisions are made without accumulating evidence, using only moment-by-moment information. Under this assumption, the successful
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5

Fred, Ana L. N., and Anil K. Jain. "Combining multiple clusterings using evidence accumulation." IEEE Transactions on Pattern Analysis and Machine Intelligence 27, no. 6 (2005): 835–50. http://dx.doi.org/10.1109/tpami.2005.113.

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6

Ciolkowski, Marcus, and Jürgen Münch. "Accumulation and presentation of empirical evidence." ACM SIGSOFT Software Engineering Notes 30, no. 4 (2005): 1–3. http://dx.doi.org/10.1145/1082983.1083178.

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7

Davidson, Jacob D., and Ahmed El Hady. "Foraging as an evidence accumulation process." PLOS Computational Biology 15, no. 7 (2019): e1007060. http://dx.doi.org/10.1371/journal.pcbi.1007060.

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8

Palmqvist, Sebastian. "MULTIMODAL EVIDENCE FOR EARLY AMYLOID ACCUMULATION." Alzheimer's & Dementia 15, no. 7 (2019): P178. http://dx.doi.org/10.1016/j.jalz.2019.06.4376.

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9

Karamched, Bhargav, Simon Stolarczyk, Zachary P. Kilpatrick, and Krešimir Josić. "Bayesian Evidence Accumulation on Social Networks." SIAM Journal on Applied Dynamical Systems 19, no. 3 (2020): 1884–919. http://dx.doi.org/10.1137/19m1283793.

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10

Veal, T. D., I. Mahboob, L. F. J. Piper, C. F. McConville, Hai Lu, and W. J. Schaff. "Indium nitride: Evidence of electron accumulation." Journal of Vacuum Science & Technology B: Microelectronics and Nanometer Structures 22, no. 4 (2004): 2175. http://dx.doi.org/10.1116/1.1771672.

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11

Lambrechts, Anna, Vincent Walsh, and Virginie van Wassenhove. "Evidence Accumulation in the Magnitude System." PLoS ONE 8, no. 12 (2013): e82122. http://dx.doi.org/10.1371/journal.pone.0082122.

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12

Barbosa, Leonardo S., Alexandra Vlassova, and Sid Kouider. "Prior expectations modulate unconscious evidence accumulation." Consciousness and Cognition 51 (May 2017): 236–42. http://dx.doi.org/10.1016/j.concog.2017.04.001.

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13

Lourenço, André, Samuel Rota Bulò, Nicola Rebagliati, Ana L. N. Fred, Mário A. T. Figueiredo, and Marcello Pelillo. "Probabilistic consensus clustering using evidence accumulation." Machine Learning 98, no. 1-2 (2013): 331–57. http://dx.doi.org/10.1007/s10994-013-5339-6.

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14

Fang, Mengting, and Alan Stocker. "Categorical Representations in Sequential Evidence Accumulation." Journal of Vision 25, no. 9 (2025): 2775. https://doi.org/10.1167/jov.25.9.2775.

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15

Banas, Jeffrey A., Justin D. Miller, Meghan E. Fuschino, et al. "Evidence that Accumulation of Mutants in a Biofilm Reflects Natural Selection Rather than Stress-Induced Adaptive Mutation." Applied and Environmental Microbiology 73, no. 1 (2006): 357–61. http://dx.doi.org/10.1128/aem.02014-06.

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ABSTRACT The accumulation of mutant genotypes within a biofilm evokes the controversy over whether the biofilm environment induces adaptive mutation or whether the accumulation can be explained by natural selection. A comparison of the virulence of two strains of the dental pathogen Streptococcus mutans showed that rats infected with one of the strains accumulated a high proportion (average, 22%) of organisms that had undergone a deletion between two contiguous and highly homologous genes. To determine if the accumulation of deletion mutants was due to selection or to an increased mutation rat
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16

Rossinskiy, S. B. "Accumulation and monitoring of evidence: what are the criteria for distinguishing them?" Juridical Journal of Samara University 11, no. 2 (2025): 58–65. https://doi.org/10.18287/2542-047x-2025-11-2-58-65.

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The article highlights the results of the next stage of the author’s scientific research, which was conducted in relation to the phenomenon of evidence monitoring as one of the mandatory components of the activities of preliminary investigation bodies, the prosecutor’s office, the court, and other participants in criminal proceedings, which is aimed at establishing circumstances that are significant for criminal cases and substantiating the relevant law enforcement acts. To understand the true role of evidence monitoring, it is compared with another component of proof – the accumulation of evi
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17

Elinder, C. G., L. Ahrengart, V. Lidums, E. Pettersson, and B. Sjogren. "Evidence of aluminium accumulation in aluminium welders." Occupational and Environmental Medicine 48, no. 11 (1991): 735–38. http://dx.doi.org/10.1136/oem.48.11.735.

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18

Hillard, Cecilia J., and Abbas Jarrahian. "Accumulation of anandamide: Evidence for cellular diversity." Neuropharmacology 48, no. 8 (2005): 1072–78. http://dx.doi.org/10.1016/j.neuropharm.2004.12.012.

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19

Brown, Scott, Mark Steyvers, and Eric-Jan Wagenmakers. "Observing evidence accumulation during multi-alternative decisions." Journal of Mathematical Psychology 53, no. 6 (2009): 453–62. http://dx.doi.org/10.1016/j.jmp.2009.09.002.

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20

Wong, William, and Naotsugu Tsuchiya. "Evidence accumulation clustering using combinations of features." MethodsX 7 (2020): 100916. http://dx.doi.org/10.1016/j.mex.2020.100916.

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21

Alan, Sule. "Precautionary wealth accumulation: evidence from Canadian microdata." Canadian Journal of Economics/Revue canadienne d'economique 39, no. 4 (2006): 1105–24. http://dx.doi.org/10.1111/j.1540-5982.2006.00383.x.

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22

Markkula, Gustav, Zeynep Uludağ, Richard McGilchrist Wilkie, and Jac Billington. "Accumulation of continuously time-varying sensory evidence constrains neural and behavioral responses in human collision threat detection." PLOS Computational Biology 17, no. 7 (2021): e1009096. http://dx.doi.org/10.1371/journal.pcbi.1009096.

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Evidence accumulation models provide a dominant account of human decision-making, and have been particularly successful at explaining behavioral and neural data in laboratory paradigms using abstract, stationary stimuli. It has been proposed, but with limited in-depth investigation so far, that similar decision-making mechanisms are involved in tasks of a more embodied nature, such as movement and locomotion, by directly accumulating externally measurable sensory quantities of which the precise, typically continuously time-varying, magnitudes are important for successful behavior. Here, we lev
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23

Gronau, Quentin F., Andrew Heathcote, and Dora Matzke. "Computing Bayes factors for evidence-accumulation models using Warp-III bridge sampling." Behavior Research Methods 52, no. 2 (2019): 918–37. http://dx.doi.org/10.3758/s13428-019-01290-6.

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AbstractOver the last decade, the Bayesian estimation of evidence-accumulation models has gained popularity, largely due to the advantages afforded by the Bayesian hierarchical framework. Despite recent advances in the Bayesian estimation of evidence-accumulation models, model comparison continues to rely on suboptimal procedures, such as posterior parameter inference and model selection criteria known to favor overly complex models. In this paper, we advocate model comparison for evidence-accumulation models based on the Bayes factor obtained via Warp-III bridge sampling. We demonstrate, usin
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24

Servant, Mathieu, Gabriel Tillman, Jeffrey D. Schall, Gordon D. Logan, and Thomas J. Palmeri. "Neurally constrained modeling of speed-accuracy tradeoff during visual search: gated accumulation of modulated evidence." Journal of Neurophysiology 121, no. 4 (2019): 1300–1314. http://dx.doi.org/10.1152/jn.00507.2018.

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Stochastic accumulator models account for response times and errors in perceptual decision making by assuming a noisy accumulation of perceptual evidence to a threshold. Previously, we explained saccade visual search decision making by macaque monkeys with a stochastic multiaccumulator model in which accumulation was driven by a gated feed-forward integration to threshold of spike trains from visually responsive neurons in frontal eye field that signal stimulus salience. This neurally constrained model quantitatively accounted for response times and errors in visual search for a target among v
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25

Chapman, Kenneth, Govind Hariharan, and Lawrence Southwick. "Estate Taxes and Asset Accumulation." Family Business Review 9, no. 3 (1996): 253–68. http://dx.doi.org/10.1111/j.1741-6248.1996.00253.x.

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This paper describes changes in the estate tax over the last few decades in the United States and analyzes its motivation and effects on tax revenue and asset accumulation. Utilizing both aggregate and individual data for the last four decades, we find evidence of individuals responding to higher estate tax rates by shifting away from asset accumulation. We also find some weaker evidence that much of it occurs through reductions in the most liquid forms of assets.
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26

Li, Cui, Qinghai Wang, Xincun Hou, Chunqiao Zhao, and Qiang Guo. "Overexpression of IlHMA2, from Iris lactea, Improves the Accumulation of and Tolerance to Cadmium in Tobacco." Plants 12, no. 19 (2023): 3460. http://dx.doi.org/10.3390/plants12193460.

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Long-distance transport cadmium (Cd) from roots to shoots is a key factor for Cd phytoremediation. Our previous study indicated that heavy metal P1B2-ATPases, IlHMA2, was involved in improving the accumulation of Cd via mediated long-distance transport Cd, contributing to the phytoremediation in Cd accumulator Iris lactea. However, whether the overexpression of IlHMA2 could enhance the accumulation and tolerance to Cd remains unclear in plants. Here, we generated transgenic tobacco overexpressing IlHMA2 and tested its effect on the translocation and accumulation of Cd and zinc (Zn), as well as
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27

Lenz, B., A. Braendli-Baiocco, J. Engelhardt, et al. "Characterizing Adversity of Lysosomal Accumulation in Nonclinical Toxicity Studies: Results from the 5th ESTP International Expert Workshop." Toxicologic Pathology 46, no. 2 (2018): 224–46. http://dx.doi.org/10.1177/0192623317749452.

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Lysosomes have a central role in cellular catabolism, trafficking, and processing of foreign particles. Accumulation of endogenous and exogenous materials in lysosomes represents a common finding in nonclinical toxicity studies. Histologically, these accumulations often lack distinctive features indicative of lysosomal or cellular dysfunction, making it difficult to consistently interpret and assign adverse dose levels. To help address this issue, the European Society of Toxicologic Pathology organized a workshop where representative types of lysosomal accumulation induced by pharmaceuticals a
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28

Roy, Proshanta, Daniele Tomassoni, Enea Traini, et al. "Natural Antioxidant Application on Fat Accumulation: Preclinical Evidence." Antioxidants 10, no. 6 (2021): 858. http://dx.doi.org/10.3390/antiox10060858.

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Obesity represents one of the most important challenges in the contemporary world that must be overcome. Different pathological consequences of these physical conditions have been studied for more than 30 years. The most nagging effects were found early in the cardiovascular system. However, later, its negative impact was also investigated in several other organs. Damage at cellular structures due to overexpression of reactive oxygen species together with mechanisms that cause under-production of antioxidants leads to the development of obesity-related complications. In this view, the negative
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29

Evans, Nathan J., and Eric-Jan Wagenmakers. "Evidence Accumulation Models: Current Limitations and Future Directions." Quantitative Methods for Psychology 16, no. 2 (2020): 73–90. http://dx.doi.org/10.20982/tqmp.16.2.p073.

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30

Veliz-Cuba, Alan, Zachary P. Kilpatrick, and Krešimir Josić. "Stochastic Models of Evidence Accumulation in Changing Environments." SIAM Review 58, no. 2 (2016): 264–89. http://dx.doi.org/10.1137/15m1028443.

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31

Sobiesierski, Z., and J. B. Clegg. "Evidence for hydrogen accumulation at strained layer heterojunctions." Applied Physics Letters 63, no. 7 (1993): 926–28. http://dx.doi.org/10.1063/1.110775.

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32

Frieler, Katja, Peter U. Clark, Feng He, et al. "Consistent evidence of increasing Antarctic accumulation with warming." Nature Climate Change 5, no. 4 (2015): 348–52. http://dx.doi.org/10.1038/nclimate2574.

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33

Fang, Mengting, Jiang Mao, Tobias H. Donner, and Alan A. Stocker. "Sequential evidence accumulation is a resource-rational process." Journal of Vision 24, no. 10 (2024): 1004. http://dx.doi.org/10.1167/jov.24.10.1004.

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34

Tsetsos, Konstantinos, Thomas Pfeffer, Pia Jentgens, and Tobias H. Donner. "Action Planning and the Timescale of Evidence Accumulation." PLOS ONE 10, no. 6 (2015): e0129473. http://dx.doi.org/10.1371/journal.pone.0129473.

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35

Brodzik, Andrzej K., and Robert H. Enders. "Semigroup Structure of Singleton Dempster–Shafer Evidence Accumulation." IEEE Transactions on Information Theory 55, no. 11 (2009): 5241–50. http://dx.doi.org/10.1109/tit.2009.2030447.

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36

Biermann, E. "No evidence for accumulation of insulin glargine (LANTUS)." Diabetic Medicine 20, no. 4 (2003): 333–34. http://dx.doi.org/10.1046/j.1464-5491.2003.00754_2.x.

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37

LAYTON, ROBERT, PAUL WATTERS, and RICHARD DAZELEY. "Automated unsupervised authorship analysis using evidence accumulation clustering." Natural Language Engineering 19, no. 1 (2011): 95–120. http://dx.doi.org/10.1017/s1351324911000313.

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AbstractAuthorship Analysis aims to extract information about the authorship of documents from features within those documents. Typically, this is performed as a classification task with the aim of identifying the author of a document, given a set of documents of known authorship. Alternatively, unsupervised methods have been developed primarily as visualisation tools to assist the manual discovery of clusters of authorship within a corpus by analysts. However, there is a need in many fields for more sophisticated unsupervised methods to automate the discovery, profiling and organisation of re
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38

Wei, Hui, Qian Yu, and Chengzhuan Yang. "Shape-based object recognition via Evidence Accumulation Inference." Pattern Recognition Letters 77 (July 2016): 42–49. http://dx.doi.org/10.1016/j.patrec.2016.03.022.

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39

Yun, Youngjin. "Reserve accumulation and bank lending: Evidence from Korea." Journal of International Money and Finance 105 (July 2020): 102158. http://dx.doi.org/10.1016/j.jimonfin.2020.102158.

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40

Howard, Marc W., Andre Luzardo, and Zoran Tiganj. "Evidence Accumulation in a Laplace Domain Decision Space." Computational Brain & Behavior 1, no. 3-4 (2018): 237–51. http://dx.doi.org/10.1007/s42113-018-0016-2.

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41

de Lange, S. M., K. van der Born, J. R. Kroep, et al. "No evidence of gemcitabine accumulation during weekly administration." European Journal of Clinical Pharmacology 61, no. 11 (2005): 843–49. http://dx.doi.org/10.1007/s00228-005-0033-7.

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42

Roy Trivedi, Smita. "Impact on Financialisation on Accumulation: Evidence from India." Economic Papers: A journal of applied economics and policy 39, no. 1 (2019): 89–100. http://dx.doi.org/10.1111/1759-3441.12265.

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43

FitzGerald, Thomas H. B., Philipp Schwartenbeck, Michael Moutoussis, Raymond J. Dolan, and Karl Friston. "Active Inference, Evidence Accumulation, and the Urn Task." Neural Computation 27, no. 2 (2015): 306–28. http://dx.doi.org/10.1162/neco_a_00699.

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Deciding how much evidence to accumulate before making a decision is a problem we and other animals often face, but one that is not completely understood. This issue is particularly important because a tendency to sample less information (often known as reflection impulsivity) is a feature in several psychopathologies, such as psychosis. A formal understanding of information sampling may therefore clarify the computational anatomy of psychopathology. In this theoretical letter, we consider evidence accumulation in terms of active (Bayesian) inference using a generic model of Markov decision pr
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44

Anders, R., S. Riès, L. van Maanen, and F. X. Alario. "Evidence accumulation as a model for lexical selection." Cognitive Psychology 82 (November 2015): 57–73. http://dx.doi.org/10.1016/j.cogpsych.2015.07.002.

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45

Shapiro, Matthew D. "Capital utilization and capital accumulation: Theory and evidence." Journal of Applied Econometrics 1, no. 3 (1986): 211–34. http://dx.doi.org/10.1002/jae.3950010302.

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46

Msheik, Ramla, François Stockart, and Michael Pereira. "The Ubiquitousness and Functional Roles of Evidence Accumulation." Journal of Neuroscience 42, no. 46 (2022): 8596–98. http://dx.doi.org/10.1523/jneurosci.1557-22.2022.

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47

Burnham, Robyn J. "Time resolution in terrestrial macrofloras: Guidelines from modern accumulations." Short Courses in Paleontology 6 (1993): 57–78. http://dx.doi.org/10.1017/s2475263000001057.

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The evidence available for determining time resolution in plant fossil deposits can be subdivided easily into two general categories: the information provided by the biological properties of the plants and the information provided by the physical properties of the sediments and accumulation styles. Accordingly, this contribution is divided into two sections, covering these two aspects of time resolution from modern plant accumulations. From a standpoint of modern macrofloral accumulation, there are four ideas that have guided this chapter.
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48

Jenkinson, S., R. A. Challiss, and S. R. Nahorski. "Evidence for lithium-sensitive inositol 4,5-bisphosphate accumulation in muscarinic cholinoceptor-stimulated cerebral-cortex slices." Biochemical Journal 287, no. 2 (1992): 437–42. http://dx.doi.org/10.1042/bj2870437.

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Stimulation of [3H]inositol-prelabelled rat cerebral-cortex slices with carbachol results in the accumulation of four [3H]inositol bisphosphate isomeric species, Ins(1,3)P2, Ins(1,4)P2, Ins(3,4)P2 and Ins(4,5)P2. Although the last isomer ran as a minor peak on h.p.l.c., its accumulation was dramatically enhanced in the presence of Li+ (1 mM), such that at 30 min it represented almost 35% of the total bisphosphate fraction. The accumulation of Ins(4,5)P2 appeared to be very sensitive to Li+ (EC50 = 94 +/- 3 microM), strongly implicating a Li(+)-sensitive metabolism. Evidence for this is provide
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49

Trout, Nicholas J., Dominique G. Penninck, Randy J. Boudrieau, and Michele Kudisch. "Early postoperative ultrasonographic evaluation of incisional sites in dogs: 15 cases (1990–1992)." Journal of the American Veterinary Medical Association 205, no. 11 (1994): 1565–68. http://dx.doi.org/10.2460/javma.1994.205.11.1565.

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Summary Ultrasonography of the surgical sites of 15 dogs was performed 3 to 8 days after they underwent major orthopedic surgical procedures. Eight dogs were suspected of having incision-site complications on the basis of localized signs of pain, heat, or swelling and clinical signs of pyrexia, lethargy, or anorexia. Seven dogs had apparently normal healing of the incision. Ultrasonography was used to assess and compare the character of fluid accumulation, to detect fluid accumulation associated with evidence of distal enhancement, and to evaluate gas accumulation and disruption of muscle fibe
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50

Goldstein, R. H. "Control of type I collagen formation in the lung." American Journal of Physiology-Lung Cellular and Molecular Physiology 261, no. 2 (1991): L29—L40. http://dx.doi.org/10.1152/ajplung.1991.261.2.l29.

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Type I collagen is a major structural protein in the lung, the accumulation of which is stimulated during certain inflammatory reactions in the lung. Accumulating evidence suggests that type I collagen formation parallels changes in steady-state mRNA levels. Specific inflammatory substances modulate transcription of collagen genes and stabilization of collagen mRNA in vitro. However, the precise role for any particular mediator during fibrotic processes is difficult to identify because of the complex nature of the inflammatory reaction and potential interaction among mediators. The signal tran
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