Academic literature on the topic 'Count'

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Journal articles on the topic "Count"

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Little, Elizabeth, and Lea Simpson. "Counts Count." Art Documentation: Journal of the Art Libraries Society of North America 42, no. 1 (2023): 24–35. http://dx.doi.org/10.1086/728258.

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Billard, Lynne. "The Census Count: Who Counts? How Do We Count? When Do We Count?" PS: Political Science & Politics 33, no. 04 (2000): 767–74. http://dx.doi.org/10.1017/s1049096500061977.

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Billard, Lynne. "The Census Count: Who Counts? How Do We Count? When Do We Count?" PS: Political Science and Politics 33, no. 4 (2000): 767. http://dx.doi.org/10.2307/420913.

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Wagner, Gregory R. "Work Counts – So Count It." Respiration 84, no. 3 (2012): 191–92. http://dx.doi.org/10.1159/000339419.

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Lo, Selina, and Richard Horton. "Everyone counts—so count everyone." Lancet 386, no. 10001 (2015): 1313–14. http://dx.doi.org/10.1016/s0140-6736(15)60305-1.

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Gorman, G. E. "How do we count our chickens? Or do citation counts count?" Online Information Review 29, no. 6 (2005): 581–84. http://dx.doi.org/10.1108/14684520510638043.

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Ho, D. D. "Viral Counts Count in HIV Infection." Science 272, no. 5265 (1996): 1124–25. http://dx.doi.org/10.1126/science.272.5265.1124.

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Kuo, Yu-Hsuan, Cho-Chun Chiu, Daniel Kifer, Michael Hay, and Ashwin Machanavajjhala. "Differentially private hierarchical count-of-counts histograms." Proceedings of the VLDB Endowment 11, no. 11 (2018): 1509–21. http://dx.doi.org/10.14778/3236187.3236202.

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Kordower, Jeffrey H. "Making the counts count: the stereology revolution." Journal of Chemical Neuroanatomy 20, no. 1 (2000): 1–2. http://dx.doi.org/10.1016/s0891-0618(00)00079-x.

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Tullus, Kjell. "Low urinary bacterial counts: do they count?" Pediatric Nephrology 31, no. 2 (2015): 171–74. http://dx.doi.org/10.1007/s00467-015-3227-y.

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Dissertations / Theses on the topic "Count"

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Dingle, Mia. "Soul Count." Digital Commons at Loyola Marymount University and Loyola Law School, 2018. https://digitalcommons.lmu.edu/etd/498.

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Scott, Kerry M., and University of Lethbridge Faculty of Arts and Science. "A contemporary winter count." Thesis, Lethbridge, Alta. : University of Lethbridge, Dept. of Native American Studies, 2006, 2006. http://hdl.handle.net/10133/1302.

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The past is the prologue. We must understand where we have been before we can understand where we are going. To understand the Blackfoot Nation and how we have come to where we are today, this thesis examines our history through Indian eyes from time immemorial to the present, using traditional narratives, writings of early European explorers and personal experience. The oral tradition of the First Nations people was a multi-media means of communication. Similarly, this thesis uses the media of the written word and a series of paintings to convey the story of the Blackfoot people. This thesis provides background and support, from the artist’s perspective, for the paintings that tell the story of the Blackfoot people and the events that contributed to the downfall of the once-powerful Nation. With the knowledge of where we have been, we can learn how to move forward.<br>x, 153 leaves : col. ill. ; 29 cm
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Dix, Annika. "Count on the brain." Doctoral thesis, Humboldt-Universität zu Berlin, Lebenswissenschaftliche Fakultät, 2016. http://dx.doi.org/10.18452/17411.

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Wir können Mathematikleistungen über fluide Intelligenz (FI) vorhersagen. Der Einfluss von FI auf kognitive Prozesse und neuronale Mechanismen, die mathematischen Fähigkeiten in verschiedenen Teildisziplinen zugrunde liegen, ist jedoch wenig verstanden. Vorliegende Arbeit spezifiziert FI-bezogene Unterschiede in diesen Prozessen und Mechanismen beim Lösen von Geometrie-, Arithmetik- und Algebra-Aufgaben. Mithilfe eines multimethodalen Ansatzes beleuchtet sie das Zusammenspiel zwischen FI, Leistung und Faktoren wie Aufgabenkomplexität, Lernen und Strategiewahl, die kognitive Prozesse und Anforderungen beim Problemlösen beeinflussen. Leistungsunterschiede wurden durch Messung von Reaktionszeiten und Fehlerraten, Strategien durch Augenbewegungsanalyse erfasst. Als Indikator kortikaler Aktivität diente die ereigniskorrelierte (De-)Synchronisation (ERD/ERS) im Alpha-Band. Um kognitive Prozesse zu unterscheiden, haben wir die ERD/ERS im Theta-Band und den Alpha-Unterbändern einbezogen. Beim Lösen unvertrauter geometrischer Analogien zeichnete sich hohe FI durch verstärkte Verarbeitung visuell-räumlicher Informationen zum Repräsentieren von Merkmalszusammenhängen aus. Schüler mit hoher FI passten ihre Strategiewahl den Anforderungen flexibler an. Erstmals konnten wir durch trialweise Identifikation von Strategien FI-bezogene Unterschiede in der neuronalen Effizienz der Strategieausführung feststellen. Beim Lösen vertrauter arithmetischer und algebraischer Terme zeigten sich bei Schülern mit hoher im Vergleich zu Schülern mit durchschnittlicher FI geringere Anforderungen zur Aktualisierung numerischer Repräsentationen und eine bessere Leistung in komplexen Aufgaben. Weitere Analysen legen nahe, dass Schüler mit hoher FI Zusammenhänge in der Aufgabenstruktur besser erkennen und passende Routinen abrufen können. Die Fähigkeit Zusammenhangsrepräsentationen zu bilden könnte demnach ein Schlüsselaspekt zur Erklärung FI-abhängiger Unterschiede in mathematischen Fähigkeiten sein.<br>Fluid intelligence (FI) is a strong predictor of mathematical performance. However, the impact of FI on cognitive processes and neural mechanisms underlying differences in mathematical abilities across different subdivisions is not well understood. The present work specifies FI-related differences in these processes and mechanisms for students solving geometric, arithmetic, and algebraic problems. We chose a multi-methodological approach to shed light on the interplay between FI, performance, and factors such as task complexity, learning, and strategy selection that influence cognitive processes and task demands in problem-solving. We measured response times and error rates to evaluate performance, eye movements to identify solution strategies, and the event-related (de-)synchronization (ERD/ERS) in the broad alpha band as indicator of general cortical activity. Further, we considered the ERD/ERS in the theta band and the alpha sub-bands to distinguish between associated cognitive processes. For unfamiliar geometric analogy tasks, students with high FI built relational representations based on a more intense processing of spatial information. Strategy analyses revealed a more adaptive strategy choice in response to increasing task demands compared to students with average FI. Further, we conducted the first study identifying strategies and related cortical activity trial-wise and thereby identified FI-related differences in the neural efficiency of strategy execution. For solving familiar arithmetic and algebraic problems, high compared to average FI was associated with lower demands on the updating of numbers leading to a better performance in complex tasks. Further analyses suggest that students with high FI had an advantage to identify the relational structure of the problems and to retrieve routines that match this structure. Thus, the ability to build relational representations might be one key aspect explaining FI-related difference in mathematical abilities.
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Ackles, Nancy M. "Historical syntax of the English articles in relation to the count/non-count distinction /." Thesis, Connect to this title online; UW restricted, 1996. http://hdl.handle.net/1773/8405.

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Osuna, Echavarría Leyre Estíbaliz. "Semiparametric Bayesian Count Data Models." Diss., lmu, 2004. http://nbn-resolving.de/urn:nbn:de:bvb:19-25573.

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Patuzzi, Ilaria. "16S rRNA gene sequencing sparse count matrices: a count data simulator and optimal pre-processing pipelines." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3426369.

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The study of microbial communities has deeply changed since it was firstly introduced in the 17th century. In the late 1970s, a breakthrough in the way bacterial communities were studied was brought by the discovery that ribosomal RNA (rRNA) genes could be used as molecular markers to perform organisms classification. Some decades later, the advent of DNA sequencing technology revolutionized the study of microbial communities, permitting a culture-independent view on the overall community contained within a sample. Today, one of the most widely used approaches for microbial communities profiling is based on the sequencing of the gene that codes for the 16S subunit of prokaryotic ribosome (16S rRNA gene), that being ubiquitous to all bacteria, but having an exact DNA sequence unique to each species, is used as a sort of molecular fingerprint for assigning to each community member a taxonomic characterization. The advent of Next-Generation Sequencing (NGS) platforms ensured 16S rRNA gene sequencing (16S rDNA-Seq) an increasing growth in election rate as preferred methodology to perform microbiome studies. Despite this, the continuous development of both experimental and computational procedures for 16S rDNA-Seq caused an unavoidable lack in standardization concerning sequencing output data treatment and analysis. This is further complicated by the very peculiar characteristics that distinguish the matrix in which samples information is summarized after sequencing. In fact, the instrumental limit on the maximum number of obtainable sequences makes 16S rDNA-Seq data compositional, i.e. they are data in which the detected abundance of each bacterial species is dependent from the level of presence of other populations in the sample. Additionally, 16S rDNA-Seq-derived matrices are typically highly sparse (70-95% of null values). These peculiarities make the commonly adopted loan of bulk RNA sequencing tools and approaches inappropriate for 16S rDNA-Seq count matrices analyses. In particular, unspecific pre-processing steps, such as normalization, risk to introduce biases in case of highly sparse matrices. The main objective of this thesis was to identify optimal pipelines that filled the above gaps in order to assure solid and reliable conclusions from 16S rRNA-Seq data analyses. Among all the analysis steps included in a typical pipeline, this project was focused on the pre-processing of count data matrices obtained from 16S rDNA-Seq experiments. This task was carried out through several steps. first, state of the art methods for 16S rDNA-Seq count data pre-processing were identified performing a thorough literature search, which revealed a minimal availability of specific tools and the complete lack in the usual 16S rDNA-Seq analysis pipeline of a pre-processing step in which the information loss due to sequencing is recovered (zero-imputation). At the same time, the literature search highlighted that no specific simulators were available to directly obtain synthetic 16S rDNA-Seq count data on which perform the analysis to identift optimal pre-processing pipelines. Thus, a 16S rDNA-Seq sparse count matrices simulator that considers the compositional nature of this data was developed. Then, a comprehensive benchmark analysis of forty-nine pre-processing pipelines was designed and performed to assess currently used and most-recen tpre-processing approaches performance and to test for appropriateness in including zero-imputation step into 16S rDNA-Seq analysis framework. Overall, this thesis considers the 16S rDNA-Seq data pre-processing problem and provide a useful guide for a robust data pre-processing when performing a 16S rDNA-Seq analysis. Additionally, the simulator proposed in this work could be a spur and valuable tool for researchers involved in developing and testing bioinformatics methods, thus helping in filling the lack of specific tools for 16S rDNA-Seq data.<br>Lo studio delle comunità microbiche è profondamente cambiato da quando fu per la prima volta proposto nel XVII secolo. Quando il ruolo fondamentale dei microbi nel regolare e causare malattie umane divenne evidente, i ricercatori iniziarono a sviluppare una varietà di tecniche per isolare e coltivare i batteri in laboratorio con l'obiettivo di caratterizzarli e classificarli. Alla fine degli anni '70, una svolta in come venivano studiate le comunità batteriche fu apportata dalla scoperta che i geni che codificano per l'RNA ribosomale (rRNA) potevano essere utilizzati come marcatori molecolari per la classificazione degli organismi. Alcuni decenni più tardi, l'avvento della tecnologia di sequenziamento del DNA ha rivoluzionato lo studio delle comunità microbiche, consentendo una visione complessiva coltura-indipendente della comunità contenuta in un campione. Oggi, uno degli approcci più diffusi per profilazione di comunità microbiche si basa sul sequenziamento del gene che codifica per la subunità 16S del ribosoma procariotico (gene dell'rRNA 16S). Poiché il ribosoma svolge un ruolo essenziale nella vita procariotica, esso è onnipresente in tutti i batteri, ma la sua esatta sequenza di DNA è unica per ogni specie. Per questo motivo, esso viene utilizzato come una sorta di impronta molecolare per assegnare a ciascun membro della comunità una caratterizzazione tassonomica. L'avvento delle piattaforme di Next Generation Sequencing (NGS), in grado di produrre un'enorme mole di dati riducendo tempi e costi, ha assicurato alla tecnica di sequenziamento del gene rRNA 16S (16S rDNA-Seq) una crescita nel tasso di elezione come metodologia preferita per eseguire studi sul microbioma. Nonostante ciò, il continuo sviluppo di procedure sia sperimentali che computazionali per 16S rDNA-Seq ha causato una inevitabile mancanza di standardizzazione riguardo al trattamento e all'analisi dei dati di sequenziamento. Ciò è ulteriormente complicato dalle caratteristiche molto peculiari che contraddistinguono la matrice in cui tipicamente le informazioni dei campioni sono riassunte dopo il sequenziamento. Infatti, il limite strumentale sul numero massimo di sequenze ottenibili rende i dati 16S rDNA-Seq composizionali, cioè dati in cui l'abbondanza rilevata di ogni specie batterica dipende dal livello di presenza di altre popolazioni nel campione. Inoltre, le matrici derivate da 16S rDNA-Seq sono in genere molto sparse (70-95% di valori nulli). Ciò è dovuto sia alla diversità biologica tra i campioni sia alla perdita di informazione sulle specie rare durante il sequenziamento, un effetto che è fortemente dipendente sia dalla distribuzione solitamente asimmetrica delle abbondanze delle specie presenti nei microbiomi, sia dal numero di campioni sequenziati nella stessa corsa di sequenziamento (il cosiddetto livello di multiplexing). Le suddette peculiarità rendono la comunemente adottata mutuazione di tool e approcci dall’ambito del sequenziamento di tipo bulk RNA inadeguata per analisi di matrici di conte derivanti da 16S rDNA-Seq. In particolare, fasi di pre-elaborazione non specifiche, come la normalizzazione, rischiano di introdurre forti bias in caso di matrici molto sparse. L'obiettivo principale di questa tesi era quello di identificare delle pipeline di analisi ottimali che riempissero le suddette lacune al fine di ottenere conclusioni solide e affidabili dall'analisi dei dati dell'rRNA-Seq 16S. Tra tutte le fasi di analisi incluse in una tipica pipeline, questo progetto si è concentrato sulla pre-elaborazione di matrici di conte ottenute da esperimenti di 16S rDNA-Seq. Questo scopo è stato raggiunto attraverso diversi passaggi. In primo luogo, sono stati identificati metodi all'avanguardia per la pre-elaborazione dei dati di conte di 16S rDNA-Seq eseguendo un'accurata ricerca bibliografica, che ha rivelato una minima disponibilità di strumenti specifici e la completa mancanza nella consueta pipeline di analisi 16S rDNA-Seq di una fase di pre-elaborazione in cui venga recuperata la perdita di informazioni dovuta al sequenziamento (zero-imputation). Allo stesso tempo, la ricerca bibliografica ha evidenziato che non erano disponibili simulatori specifici per ottenere direttamente dati di conte 16S rDNA-Seq sintetici su cui eseguire l'analisi per identificare pipeline di pre-elaborazione ottimali. Di consequenza, è stato sviluppato un simulatore di matrici di conte sparse derivanti da 16S rDNA-Seq che considera la natura composizionale di questi dati. In seguito, un'analisi comparativa completa di quarantanove pipeline di pre-elaborazione è stata progettata ed eseguita con lo scopo di valutare le prestazioni degli approcci di pre-elaborazione più comunemente utilizzati e più recenti e per verificare l’appropriatezza dell’inclusione di una fase di zero-imputation nel contesto delle analisi di 16S rDNA-Seq. Nel complesso, questa tesi considera il problema della pre-elaborazione dei dati provenienti da 16S rDNA-Seq e fornisce una guida utile per una pre-elaborazione dei dati robusta quando durante un'analisi 16S rDNA-Seq. Inoltre, il simulatore proposto in questo lavoro potrebbe essere uno stimolo e uno strumento prezioso per i ricercatori coinvolti nello sviluppo e nel test dei metodi di bioinformatica, contribuendo così a colmare la mancanza di strumenti specifici per i dati di rDNA-Seq 16S.
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He, Xin. "Semiparametric analysis of panel count data." Diss., Columbia, Mo. : University of Missouri-Columbia, 2007. http://hdl.handle.net/10355/4774.

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Thesis (Ph. D.)--University of Missouri-Columbia, 2007.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on November 27, 2007) Vita. Includes bibliographical references.
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Quoreshi, Shahiduzzaman. "Modelling high frequency financial count data /." Umeå : Umeå University, 2005. http://swopec.hhs.se/umnees/abs/umnees0656.htm.

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Hellström, Jörgen. "Count data modelling and tourism demand." Doctoral thesis, Umeå universitet, Institutionen för nationalekonomi, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-82168.

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This thesis consists of four papers concerning modelling of count data and tourism demand. For three of the papers the focus is on the integer-valued autoregressive moving average model class (INARMA), and especially on the ENAR(l) model. The fourth paper studies the interaction between households' choice of number of leisure trips and number of overnight stays within a bivariate count data modelling framework. Paper [I] extends the basic INAR(1) model to enable more flexible and realistic empirical economic applications. The model is generalized by relaxing some of the model's basic independence assumptions. Results are given in terms of first and second conditional and unconditional order moments. Extensions to general INAR(p), time-varying, multivariate and threshold models are also considered. Estimation by conditional least squares and generalized method of moments techniques is feasible. Monte Carlo simulations for two of the extended models indicate reasonable estimation and testing properties. An illustration based on the number of Swedish mechanical paper and pulp mills is considered. Paper[II] considers the robustness of a conventional Dickey-Fuller (DF) test for the testing of a unit root in the INAR(1) model. Finite sample distributions for a model with Poisson distributed disturbance terms are obtained by Monte Carlo simulation. These distributions are wider than those of AR(1) models with normal distributed error terms. As the drift and sample size, respectively, increase the distributions appear to tend to T-2) and standard normal distributions. The main results are summarized by an approximating equation that also enables calculation of critical values for any sample and drift size. Paper[III] utilizes the INAR(l) model to model the day-to-day movements in the number of guest nights in hotels. By cross-sectional and temporal aggregation an INARMA(1,1) model for monthly data is obtained. The approach enables easy interpretation and econometric modelling of the parameters, in terms of daily mean check-in and check-out probability. Empirically approaches accounting for seasonality by dummies and using differenced series, as well as forecasting, are studied for a series of Norwegian guest nights in Swedish hotels. In a forecast evaluation the improvements by introducing economic variables is minute. Paper[IV] empirically studies household's joint choice of the number of leisure trips and the total night to stay on these trips. The paper introduces a bivariate count hurdle model to account for the relative high frequencies of zeros. A truncated bivariate mixed Poisson lognormal distribution, allowing for both positive as well as negative correlation between the count variables, is utilized. Inflation techniques are used to account for clustering of leisure time to weekends. Simulated maximum likelihood is used as estimation method. A small policy study indicates that households substitute trips for nights as the travel costs increase.<br><p>Härtill 4 uppsatser.</p><br>digitalisering@umu
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Wan, Chung-him, and 溫仲謙. "Analysis of zero-inflated count data." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43703719.

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Books on the topic "Count"

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United States. Food and Nutrition Service. AccuClaim: Meal counts count! U.S. Dept. of Agriculture, Food and Nutrition Service, 1989.

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ill, Walz Richard, ed. The Count counts scary things. Random House, 1998.

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Pierre, Stephanie St. The Count counts scary things. Random House, 1998.

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United States. Food and Nutrition Service. AccuClaim manual: Meal counts count. The Service, 1990.

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Little, Jean. Count up, count down. HarperCollins Publishers, 1992.

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Butterfield, Moira. Count 1 count 2. Barron's Educational Series, 2012.

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Fleming, Denise. Count! H. Holt, 1992.

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Fleming, Denise. Count! H. Holt, 1995.

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Fleming, Denise. Count! H. Holt, 1992.

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Daniel, Becky. Count. Good Apple, 1992.

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Book chapters on the topic "Count"

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Gooch, Jan W. "Count." In Encyclopedic Dictionary of Polymers. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_2993.

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Izadkhah, Habib, and Rashid Behzadidoost. "Count." In Challenging Programming in Python: A Problem Solving Perspective. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39999-2_7.

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Infante, Eduardo, and Matias Thano. "Count." In The Routledge International Handbook of Penal Abolition. Routledge, 2021. http://dx.doi.org/10.4324/9780429425035-38.

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Landau, Neil. "Make the Body Count Count." In TV Writing On Demand, 2nd ed. Routledge, 2024. http://dx.doi.org/10.4324/9781003355113-15.

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Clover, Frank M. "Count Gaïnas and Count Sebastian." In American Journal of Ancient History, edited by Ernst Badian. Gorgias Press, 2017. http://dx.doi.org/10.31826/9781463237417-006.

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Clover, Frank M. "Count Gaïnas and Count Sebastian." In The Late Roman West and the Vandals. Routledge, 2024. http://dx.doi.org/10.4324/9781003557104-5.

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Fairburn, Miles. "To Count or Not to Count?" In Social History. Macmillan Education UK, 1999. http://dx.doi.org/10.1007/978-1-349-27517-5_7.

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Gooch, Jan W. "Cotton Count." In Encyclopedic Dictionary of Polymers. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_2977.

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Wilkinson, Anna N., Barbara A. Zeeb, and John P. Smol. "Count Sheet." In Atlas of Chrysophycean Cysts. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-017-0811-1_6.

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Whitehorn, Mark, Robert Zare, and Mosha Pasumansky. "Distinct Count." In Fast Track to MDX. Springer London, 2002. http://dx.doi.org/10.1007/1-84628-182-2_12.

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Conference papers on the topic "Count"

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Greenberg, Aaron P., Poul Kristensen, Miranda Mitrovic, and Siddharth Ramachandran. "Erbium-Doped Fiber Amplification of 28 OAM Modes." In CLEO: Science and Innovations. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_si.2024.stu4d.3.

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Exploiting the regime of topological confinement that has enabled scaling mode counts in passive fibers, we demonstrate the first active version of such fibers yielding an EDFA with a record high uncoupled mode count (28).
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Tanin, Egemen, and Hairuo Xie. "Count or Not to Count." In CIKM'15: 24th ACM International Conference on Information and Knowledge Management. ACM, 2015. http://dx.doi.org/10.1145/2809948.2809954.

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Tempero, Ewan, Paul Denny, Andrew Luxton-Reilly, and Paul Ralph. "Objects Count so Count Objects!" In ICER '18: International Computing Education Research Conference. ACM, 2018. http://dx.doi.org/10.1145/3230977.3230985.

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Cho, Haehyun, Penghui Zhang, Donguk Kim, et al. "Prime+Count." In ACSAC '18: 2018 Annual Computer Security Applications Conference. ACM, 2018. http://dx.doi.org/10.1145/3274694.3274704.

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Ting, Daniel. "Count-Min." In KDD '18: The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 2018. http://dx.doi.org/10.1145/3219819.3219975.

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Devi, Pinki, Ganapathi Bhat, and Harish S. Ahuja. "To Predict Success of Postapheresis Yield and Post–Autologous Transplant Engraftment Based on Preapheresis Peripheral Blood CD34+ Cell Counts: An Indian Scenario–Based Study." In Annual Conference of Indian Society of Medical and Paediatric Oncology (ISMPO). Thieme Medical and Scientific Publishers Pvt. Ltd., 2021. http://dx.doi.org/10.1055/s-0041-1735370.

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Abstract Introduction The use of hematopoietic stem cells for autologous and allogeneic transplantation has increased in the recent past significantly, due to introduction of newer chemotherapeutic drugs, immunological techniques, and better stem cell technology. Among the bone marrow and peripheral blood stem cells, collection of the latter being more convenient to the patient and associated with faster granulocyte and platelet engraftment has been known as preferred method for mobilization. Peripheral blood stem cells can be extracted from the autologous or allogeneic donor. Mobilization of the stem cells for autologous stem cell transplant is traditionally done using growth factors alone or in combination with chemotherapy, with or without an additional mobilizing agent. A significant number of hematological malignancy patients are poor mobilizers, (i.e., they are unable to achieve the minimal target cell dose during their first round of mobilization).Therefore, a prediction for a successful stem cell mobilization ideally should be made before initiating any apheresis procedure to spare those with a low rate of success from the risks associated with apheresis procedure. Preapheresis CD34 cell count can predict postapheresis yield and hence, can help to reduce the collection sessions. Reduction of apheresis sessions decreases the discomfort, inconvenience, time, and monetary expenses. Objectives This study was aimed to analyze preapheresis and postapheresis CD34+ cell counts. Materials and Methods Patients of any age and gender with diagnosis of hematological malignancies admitted for autologous stem cell transplantation for hematological malignancies (including Hodgkin lymphoma, non-Hodgkin lymphoma, and multiple myeloma) and germ cell tumors in our institute from July 2008 to July 2016 were included in the study. The post-GCSF CBC, preapheresis CBC, CD34+ cell counts, and postapheresis CBC, CD34+ cell counts, mononuclear cell counts to predict the outcome of amount of yield. The effect on engraftment will be measured according to the defining criteria of achieving a sustained peripheral blood neutrophil count of &gt;500 × 106/L (Wolff 2002) and a platelet count of more than &gt;20 × 109/L (Teltschik et al. 2016) independent of platelet transfusion for at least 7 days. Collection of stem cells was done using apheresis machine (COBE SPECTRA). Complete peripheral blood counts using automated analyzers. Peripheral blood CD34 + cell counts and postapheresis CD34+ cell count using BD FACS CANTO II flow cytometer. To calculate postapheresis yield, the related CD34 count measured by flow cytometer was multiplied by the apheresis product volume and divided by the recipient’s body weight (kg). Number of CD34+ cells collected = (CD34 cell concentration in final product) × (final product volume). Results A total of 100 patients who underwent a total of 320 apheresis sessions were included in the study. There were 78 males and 22 females. We also found a significant correlation between preapheresis CD34 + cell count and postapheresis CD34 percentage on days 1, 2, and 3 of the apheresis sessions. In our study, to obtain more than 1.31 × 106 cells (median = 1.04, range: 0.15–4.70), an absolute count of pre apheresis CD34 + cells ≥14 cells would be necessary. A target of CD34 + cells ≥ 2 × 106/kg was obtained in majority of patients if a concentration of ≥25 CD34 + cells was present in postapheresis collection. Conclusion Compiling our results with the previous published data, we conclude that there is a strong correlation between preapheresis absolute CD34 + cell counts and postapheresis CD34 + cell count. Our study also suggests that the minimum absolute cell count of &gt;10 cells/μL is required, to achieve a target of &gt;2–5 × 106 cells for postapheresis yield.
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Yan, Rui, Jie Tang, Xiaobing Liu, Dongdong Shan, and Xiaoming Li. "Citation count prediction." In the 20th ACM international conference. ACM Press, 2011. http://dx.doi.org/10.1145/2063576.2063757.

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Büther, Florian, Immo Traupe, and Sebastian Ebers. "Hop count routing." In NANOCOM '18: ACM The Fifth Annual International Conference on Nanoscale Computing and Communication. ACM, 2018. http://dx.doi.org/10.1145/3233188.3233193.

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Farzan, Azadeh, Zachary Kincaid, and Andreas Podelski. "Proofs that count." In POPL '14: The 41st Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages. ACM, 2014. http://dx.doi.org/10.1145/2535838.2535885.

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Ellis, Carl, Hugo Miranda, and François Taïani. "Count on me." In the International Workshop. ACM Press, 2009. http://dx.doi.org/10.1145/1657127.1657129.

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Reports on the topic "Count"

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MacFarland, Jennifer, and Jennifer MacFarland. Carlsbad Caverns National Park southwestern willow flycatcher surveys and intensive point count surveys at Rattlesnake Springs, 2022 and 2023: Final report. National Park Service, 2025. https://doi.org/10.36967/2306229.

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In 2022, Southwestern Willow Flycatcher Surveys and Intensive 10-minute Point Count Surveys for all bird species were conducted on July 6, 2022, and July 12, 2022 in Rattlesnake Springs area within Carlsbad Caverns National Park and The Nature Conservancy?s Rattlesnake Springs Preserve. Two Tucson Audubon staff members conducted these surveys and are both permitted by USFWS to conduct the official USFWS Southwestern Willow Flycatcher Survey Protocol. One hundred sixty-five Southwestern Willow Flycatcher call-back protocol point counts were conducted with zero detections. The Arizona Important Bird Areas Intensive Point Count Protocol for 10-minute surveys for all bird species detected a total of 31 species with 8 additional species detected by surveyors between point counts. In 2023, USFWS Southwestern Willow Flycatcher Surveys and Intensive 10-minute Point Count Surveys for all bird species were conducted on May 15, June 5, June 13, June 27, and July 10, 2023. Four Tucson Audubon staff members conducted these surveys, and all were permitted by USFWS to conduct the official USFWS Southwestern Willow Flycatcher Survey Protocol. Five hundred nineteen Southwestern Willow Flycatcher call-back protocol point counts were conducted with positive detections on June 5, 2023 (one bird), June 13, 2023 (two birds, likely pair), and June 27, 2023 (three birds, 1 pair and a single). The all-species 10-minute Intensive Point Count Protocol detected a total of 58 species with 3 additional species detected by surveyors between point counts.
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Battams, Nathan, and Sophie Mathieu. Families Count 2024. The Vanier Institute of the Family, 2024. http://dx.doi.org/10.61959/fcfs3941e.

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The Vanier Institute of the Family is pleased to present Families Count 2024. Drawing on the latest statistics and research, this publication informs readers about how families in Canada have changed (and not changed) over the past few decades. Families Count 2024 is organized into four main sections based on the components of the Vanier Institute’s Family Diversities and Wellbeing Framework: Family Structure, Family Work, Family Identity, and Family Wellbeing. This year marks the 30th anniversary of the United Nations International Year of the Family. Throughout the year, the Vanier Institute is working with the United Nations Department of Economic and Social Affairs (UNDESA) to recognize and articulate its global agenda to support family wellbeing in societies around the world. The Vanier Institute published the first edition of Families Count in 1994 to provide a foundation for the discussions and debates of that year. This year’s 30th anniversary provides an opportunity to re-engage in these important conversations, which we support with new information and research. The 2030 Agenda for Sustainable Development has also provided momentum and focus for Families Count 2024. In 2015, Canada joined 192 member states in adopting this framework for action at the United Nations General Assembly. Many of the Sustainable Development Goals (SDGs) at the heart of this agenda are closely intertwined with family wellbeing, addressing issues such as poverty, hunger, inequalities, and education. At the halfway point between Canada’s adoption of the framework and its end date of 2030, timely and accurate information on families can help inform actions that will drive progress toward the goals. Families Count 2024 presents data and findings in a way that is accessible to a wide range of audiences. The goals of this publication are to enhance the national understanding of families; to stimulate conversations among policymakers, educators, researchers, and journalists; and to strengthen the evidence base to facilitate the development of policies, programs, and services to enhance the wellbeing of all families in Canada. Norah Keating, Board Chair Margo Hilbrecht, Executive Director
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Hartwig, George W., and Jr. Word Count. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada402492.

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DiFolco, Donna, Julie Maier, Donna DiFolco, and Julie Maier. Snowshoe hare population trends at mineral and non-mineral sites in the central Brooks Range, Alaska: Final report on the snowshoe hare ecology project, 1997?2023. National Park Service, 2024. http://dx.doi.org/10.36967/2306544.

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This report presents data we have compiled while monitoring localized snowshoe hare populations in the central Brooks Range near Wiseman, Alaska, using track and pellet counts. In addition, we documented snowshoe hare geophagy?the practice of consuming soil?via trail cameras, thus confirming the use of mineral licks by snowshoe hares in this area. Evidence of geophagy by snowshoe hares (Lepus americanus) was observed during track count surveys in Gates of the Arctic National Park and Preserve west of Wiseman, Alaska, in 1997?2001 when the hare population reached an exceptionally high peak. Long-time residents claimed that hares with winter access to mineral licks reached higher densities than hares without year-round access to licks. In 2007 we initiated pellet plot counts to monitor hare populations in four areas where hares had year-round access to a mineral lick (?mineral? sites) and three areas where hares did not have minerals available year-round (?non-mineral? sites). Hare densities in non-mineral areas peaked around 2009, albeit moderately, 10 years after the extreme peak in 1997?2001 documented by the track count. By contrast, hares at mineral sites exhibited no apparent increase in population densities at this time. Local knowledge predicted that there would not be another large increase in hare densities in mineral areas until approximately 2018. Pellet count data later supported this prediction when, in 2019, peaks of hare populations at mineral sites surpassed those at non-mineral sites.
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Gervacio Jakabosky, Olivia. Effects of Road and Trail Characteristics on Mountain Grouse Observations in Western Montana. Montana State University, 2022. https://doi.org/10.15788/s2022.curio2.

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Anthropogenic features such as roads and trails, and human activity may affect space use, demography, abundance, and other wildlife population parameters. Human infrastructure and activity may result in biased population estimates by influencing habitat use of a species and thus abundance estimates within a localized area or the ability of biologist to detect individuals during standard population surveys. To evaluate the effects of anthropogenic features on mountain grouse detections, we developed and conducted replicated surveys throughout western Montana during 2020. Biologists and volunteers collected count data for dusky, ruffed, and spruce grouse during point counts surveys conducted at 582 sites and transect surveys conducted for 291 transects located throughout Montana Fish, Wildlife, and Parks Regions 1-5. Survey transects occurred along two types of human infrastructure: U.S. Forest Service roads with minimal traffic during the survey period and U.S. Forest Service trails. As a first step, we compared count data for road and trail transect surveys for each species of grouse. Overall, raw counts of dusky grouse were higher for transects located along trails (0.59 ± 1.07 SD grouse per transect) than roads (0.33 ± 0.91 SD). Raw counts of ruffed grouse were similar for transects located along trails (0.75 ± 1.42 SD) and roads (0.69 ± 1.55 SD). We did not have a sufficient sample size to evaluate spruce grouse counts.
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Go, Eugenia, Kentaro Nakajima, Yasuyuki Sawada, and Kiyoshi Taniguchi. On the Use of Satellite-Based Vehicle Flows Data to Assess Local Economic Activity: The Case of Philippine Cities. Asian Development Bank, 2022. http://dx.doi.org/10.22617/wps220079-2.

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Satellite image-derived vehicle counts were used to measure local economic activity following the opening of the new terminal at the Mactan-Cebu International Airport in the Philippines. Results reveal that the terminal’s opening has had positive impacts on Cebu’s local economy. A comparison of the vehicle count measure with luminosity-derived metrics suggests that the former is better at capturing seasonal and spatial variations in treatment effects, especially for beach tourism activities in Cebu.
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Kumar, Vikas. Making India’s census count. East Asia Forum, 2023. http://dx.doi.org/10.59425/eabc.1699308035.

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Mullahy, John. Analyzing Bounded Count Data. National Bureau of Economic Research, 2023. http://dx.doi.org/10.3386/w31814.

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Dettling, Mark, Diana Humple, Michael Mahoney, Mark Dettling, Diana Humple, and Michael Mahoney. Riparian landbird monitoring in Golden Gate National Recreation Area and Point Reyes National Seashore: Progress report for 2021?2023. National Park Service, 2024. http://dx.doi.org/10.36967/2305750.

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Point Blue Conservation Science (hereafter Point Blue) conducted landbird monitoring from 16 August 2021 through 15 August 2023 in predominantly riparian habitat found in Point Reyes National Seashore and Golden Gate National Recreation Area. This monitoring was on behalf of the National Park Service?s (NPS) Inventory and Monitoring (I&amp;M) Program. Progress reports, like this one, are intended to document the survey efforts and to provide a basic summary of the data collected. This progress report deviates slightly from the structure of previous progress reports by summarizing two years of data collection instead of one, as outlined in the protocol. The NPS provided additional funding to Point Blue for mist netting and point count surveys in fall 2021 through summer 2022 to complement the standard point count surveys called for by the program protocol. As a consequence, data from the entire fall 2021 through summer 2023 time frame are fully summarized in this report. Point Blue staff conducted monitoring at 15 study sites within the parks using one or both of two methods: point counts and constant-effort mist netting. We report on point count surveys that were conducted during the peak landbird breeding season (May?June) of 2022 and 2023 and mist netting (and associated bird banding) that was conducted in fall 2021 through summer 2023. Staff conduct monitoring at the entire suite of point count sites every third year, which was the 2023 breeding season. Additionally, staff conduct monitoring annually at a subset of core sites (mist netting and point counts) as part of Point Blue?s Palomarin Field Station network of intensive monitoring sites and as a complement to the I&amp;M Program. Staff conducted surveys in fall 2021 through summer 2022 only at these core sites. Of the 126 bird species detected between fall 2021 and summer 2023, 32 are California Partners in Flight Focal Species (CalPIF 2000, CalPIF 2002a, CalPIF 2002b, CalPIF 2004, CalPIF 2009, RHJV 2004), six are California Bird Species of Special Concern (Shuford and Gardali 2008), and one is listed as Threatened by the State of California (CNDDB 2023). Public outreach, via in-person and virtual demonstrations, is an important component of Point Blue?s mist-netting programs. As we navigated reopening to public visitation following COVID-19 restrictions, over 700 members of the public viewed mist netting in person at the study sites as part of organized groups during this two-year period.
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Cheng, Wen, Yongping Zhang, and Edward Clay. Comprehensive Performance Assessment of Passive Crowdsourcing for Counting Pedestrians and Bikes. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.2025.

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Individuals who walk and cycle experience a variety of health and economic benefits while simultaneously benefiting their local environments and communities. It is essential to correctly obtain pedestrian and bicyclist counts for better design and planning of active transportation-related facilities. In recent years, crowdsourcing has seen a rise in popularity due to the multiple advantages relative to traditional methods. Nevertheless, crowdsourced data have been applied in fewer studies, and their reliability and performance relative to other conventional methods are rarely documented. To this end, this research examines the consistency between crowdsourced and traditionally collected count data. Additionally, the research aims to develop the adjustment factor between the crowdsourced and permanent counter data and to estimate the annual average daily traffic (AADT) data based on hourly volume and other predictor variables such as time, day, weather, land use, and facility type. With some caveats, the results demonstrate that the Street Light crowdsourcing count data for pedestrians and bicyclists appear to be a promising alternative to the permanent counters.
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