Gotowe bibliografie tematyczne / PREDICTS

Spis treści

  1. Artykuły w czasopismach
  2. Rozprawy doktorskie
  3. Książki
  4. Części książek
  5. Streszczenia konferencji
  6. Raporty organizacyjne

Gotowa bibliografia na temat „PREDICTS”

Autor: Grafiati
Data publikacji: 3 czerwca 2025
Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "PREDICTS"

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Lluís, Xavier, Xavier Carreras, and Lluís Màrquez. "Joint Arc-factored Parsing of Syntactic and Semantic Dependencies." Transactions of the Association for Computational Linguistics 1 (December 2013): 219–30. http://dx.doi.org/10.1162/tacl_a_00222.

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In this paper we introduce a joint arc-factored model for syntactic and semantic dependency parsing. The semantic role labeler predicts the full syntactic paths that connect predicates with their arguments. This process is framed as a linear assignment task, which allows to control some well-formedness constraints. For the syntactic part, we define a standard arc-factored dependency model that predicts the full syntactic tree. Finally, we employ dual decomposition techniques to produce consistent syntactic and predicate-argument structures while searching over a large space of syntactic config
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Sreevidya, Nelli, K. Akshaya, Md Hamza, and T. Pranay. "Fire Prediction Analysis Based on Ensemble Machine Learning Algorithms." Asian Journal of Research in Computer Science 17, no. 6 (2024): 74–84. http://dx.doi.org/10.9734/ajrcos/2024/v17i6457.

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A fire accident is the most tragic incident in human life. Particularly environmental hazards such as forest fires lead loss of wildlife, economy, wealth, human lives and pollution. our research purpose of predict the occurrence of fire incidents using ensemble machine learning models. The goal is to develop an accurate and reliable model that can forecast the occurrence of forest fires based on various environmental factors. The best performance is obtained by the ensemble machine learning model for this work. Comparative study of individual model and ensemble model. If you check all models D
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Stoolmiller, Mike, and Elaine A. Blechman. "Substance Use is a Robust Predictor of Adolescent Recidivism." Criminal Justice and Behavior 32, no. 3 (2005): 302–28. http://dx.doi.org/10.1177/0093854804274372.

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How well does substance use predict adolescent recidivism? When the Cox proportional hazards model was applied to officially recorded first rearrest of 505 juvenile offenders, a best-fitting complex multivariate model indicated that: (a) parent reports that youths “often” use substances more than doubles first rearrest risk, (b) averaged youth and parent substance use reports predict recidivism better than a single source, (c) parent or youth denial of youth substance use predicts recidivism, (d) age at first arrest does not predict recidivism, (e) non-White/non-Asians have a 79% higher recidi
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Mostert, K., and B. Oosthuizen. "Job characteristics and coping strategies associated with negative and positive work-home interference in a nursing environment." South African Journal of Economic and Management Sciences 9, no. 4 (2014): 429–43. http://dx.doi.org/10.4102/sajems.v9i4.1032.

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The aim of this study is to determine which job characteristics and coping strategies predict negative and positive work-home interference (WHI) in the nursing environment. Random samples (n=300) were taken of registered nurses in the Johannesburg, Klerksdorp, Krugersdorp, Potchefstroom and Pretoria regions. A self-constructed questionnaire was used to measure job characteristics. The Coping Strategy Indicator (CSI) was used to measure coping strategies, and the Survey Work-Home Interaction-Nijmegen (SWING) to measure WHI. The results show that time demands, pressure, role clarity and colleagu
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Floriddia, Elisa. "Transcriptomics predicts activity." Nature Neuroscience 25, no. 8 (2022): 977. http://dx.doi.org/10.1038/s41593-022-01144-z.

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Carstensen, Earl J. "BMI Predicts Mortality." Physician and Sportsmedicine 32, no. 1 (2004): 38. http://dx.doi.org/10.3810/psm.2004.01.74.

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Holman, Thomas B., and John Gottman. "What Predicts Divorce?" Family Relations 44, no. 1 (1995): 116. http://dx.doi.org/10.2307/584749.

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Holding, Cathy. "Ploidy predicts lifestyle." Genome Biology 5 (2004): spotlight—20040714–01. http://dx.doi.org/10.1186/gb-spotlight-20040714-01.

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Denny, Kevin. "Breastfeeding predicts handedness." Laterality: Asymmetries of Body, Brain and Cognition 17, no. 3 (2012): 361–68. http://dx.doi.org/10.1080/1357650x.2011.579131.

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Alex Tullo. "Moody’s predicts upturn." C&EN Global Enterprise 101, no. 12 (2023): 10. http://dx.doi.org/10.1021/cen-10112-buscon6.

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Rozprawy doktorskie na temat "PREDICTS"

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Kuvaas, Nicholas Jacob. "Urgency Predicts Differences in Cigarette Consumption." Thesis, North Dakota State University, 2015. https://hdl.handle.net/10365/27881.

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Smokers have been classified into three separate groups based on cigarette consumption where regular smokers consume more than 5 cigarettes a day, chippers consume 5 cigarettes a day or less, and social smokers only smoke when they drink alcohol. The current study examined smoking group differences by self-regulation, alcohol use, and alcohol-related problems. Participants (n = 535) completed an online survey. A 3-step multinomial logistic regression was used to analyze the data. When compared to regular smokers, chippers exhibited lower negative urgency (RRR = 0.94, p = .035). Social sm
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Shields, Morgan Christina. "Physical Activity Predicts Emotion-Context-Sensitivity." Kent State University Honors College / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ksuhonors1399133615.

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Haruna, Akane. "CT emphysema predicts mortality in COPD." Kyoto University, 2010. http://hdl.handle.net/2433/123335.

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Brand, Rebecca J., S. Hardesty, and Wallace E. Jr Dixon. "Toddlers’ Difficulty Temperament Predicts Television Use." Digital Commons @ East Tennessee State University, 2010. https://dc.etsu.edu/etsu-works/4930.

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Weaver, Joseph S. "High working memory capacity predicts negative gaze but high self-esteem predicts positive gaze following ego threat." Case Western Reserve University School of Graduate Studies / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=case1307144564.

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Ross, Erin Sundseth. "Early growth faltering predicts longitudinal growth failure /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2007.

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Thesis (Ph.D. in Clinical Science) -- University of Colorado Denver, 2007.<br>Typescript. Includes bibliographical references (leaves 130-146). Free to UCD affiliates. Online version available via ProQuest Digital Dissertations;
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Rosenbaum, T., Wallace E. Jr Dixon, and Andrea D. Clements. "Proximity Seeking Behavior Predicts Toddler Cognitive Performance." Digital Commons @ East Tennessee State University, 2007. https://dc.etsu.edu/etsu-works/7289.

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Corvi, Andrea P. "Subjective Time Perception Predicts Delay of Gratification." Case Western Reserve University School of Graduate Studies / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=case1291765358.

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Montgomery, Robert A., Tifani R. Fletcher, Andrea D. Clements, and Beth A. Bailey. "Religious Commitment Predicts Substance Use in Pregnant Women." Digital Commons @ East Tennessee State University, 2013. https://dc.etsu.edu/etsu-works/7261.

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Introduction: Substance use, including cigarette smoking, while pregnant can lead to a plethora of health concerns for both the mother and unborn child including premature birth, low birth weight, and stillbirth. Compared with women nationally, pregnant women in Tennessee are more than three times as likely to smoke during pregnancy. Preliminary findings suggest high levels of religious commitment may be reliable predictors of negative health behaviors. However, the association between religious commitment and substance use has not been thoroughly investigated in pregnant populations. Using a
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Fletcher, Tifani R., Andrea D. Clements, Beth A. Bailey, and Lana McGrady. "Religious Surrender and Attendance Scale Predicts Prenatal Depression." Digital Commons @ East Tennessee State University, 2012. https://dc.etsu.edu/etsu-works/7268.

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Prenatal depression is a significant problem because of the myriad psychosocial, somatic and obstetrical complications it poses. Numerous studies have confirmed that religiosity is related to positive health consequences, such as decreased levels of depression, but few have looked at religiosity’s relation to prenatal depression. Evidence is accumulating that Surrender to God, a specific measure of religiosity, is a possible mechanism by which religiosity positively impacts health, and this study is an investigation of Surrender’s relationship to prenatal depression. The 3-item Religious Surre
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Książki na temat "PREDICTS"

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Davis, Marion M. Sam predicts a storm. Starboard Cove Pub., 1991.

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Koscielniak, Bruce. Geoffrey Groundhog predicts the weather. Scholastic Inc., 2001.

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McDonald, Megan. Judy Moody predicts the future. Candlewick Press, 2015.

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Koscielniak, Bruce. Geoffrey Groundhog predicts the weather. Scholastic Inc., 2001.

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McDonald, Megan. Judy Moody Predicts the Future. Candlewick Press, 2003.

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McDonald, Megan. Judy Moody predicts the future. Walker, 2003.

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Gottman, John Mordechai. What Predicts Divorce? Psychology Press, 2014. http://dx.doi.org/10.4324/9781315806808.

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Michael, Coleman. Madame Retsmah Predicts. Independently Published, 2020.

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Madame Wrinkleski Predicts.... Trisar, 1995.

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Madame Retsmah Predicts. Scholastic Press, 1998.

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Części książek na temat "PREDICTS"

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Gottman, John Mordechai. "Marital Processes that Predict Dissolution." In What Predicts Divorce? Routledge, 2023. http://dx.doi.org/10.4324/9781003429807-5.

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Gottman, John Mordechai. "A Balance Theory of Marriage." In What Predicts Divorce? Routledge, 2023. http://dx.doi.org/10.4324/9781003429807-10.

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Gottman, John Mordechai. "There are Two Types of Conflict Engagers." In What Predicts Divorce? Routledge, 2023. http://dx.doi.org/10.4324/9781003429807-9.

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Gottman, John Mordechai. "Physiology During Marital Interaction." In What Predicts Divorce? Routledge, 2023. http://dx.doi.org/10.4324/9781003429807-14.

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Gottman, John Mordechai. "Toward a Comprehensive Theory of Marital Stability." In What Predicts Divorce? Routledge, 2023. http://dx.doi.org/10.4324/9781003429807-15.

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Gottman, John Mordechai. "Male Withdrawal from Marital Conflict." In What Predicts Divorce? Routledge, 2023. http://dx.doi.org/10.4324/9781003429807-12.

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Gottman, John Mordechai. "Epilogue." In What Predicts Divorce? Routledge, 2023. http://dx.doi.org/10.4324/9781003429807-18.

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Gottman, John Mordechai. "Longitudinal Change in Marital Happiness." In What Predicts Divorce? Routledge, 2023. http://dx.doi.org/10.4324/9781003429807-4.

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Gottman, John Mordechai. "Recommendations for a Stable Marriage." In What Predicts Divorce? Routledge, 2023. http://dx.doi.org/10.4324/9781003429807-17.

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Gottman, John Mordechai. "In What Sense are Regulated Couples Regulated?" In What Predicts Divorce? Routledge, 2023. http://dx.doi.org/10.4324/9781003429807-6.

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Streszczenia konferencji na temat "PREDICTS"

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Hekim, Suleyman, and Yasin Mamatjan. "MGMT Promoter Methylation Predicts Survival in Lung Adenocarcinoma." In 2025 IEEE Symposium on Computational Intelligence in Health and Medicine Companion (CIHM Companion). IEEE, 2025. https://doi.org/10.1109/cihmcompanion65205.2025.11002696.

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Krishnan, Vinod, Pradeep Kumar Narayanashetty, Mukesh Nathan, Richard T. Davies, and Joseph A. Konstan. "Who predicts better?" In the 2008 ACM conference. ACM Press, 2008. http://dx.doi.org/10.1145/1454008.1454042.

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"Pupil Diameter Predicts Cognitive States." In 2020 7th International Conference on Advance Informatics: Concepts, Theory and Applications (ICAICTA). IEEE, 2020. http://dx.doi.org/10.1109/icaicta49861.2020.9429035.

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Barrett, Maria, and Anders Søgaard. "Reading behavior predicts syntactic categories." In Proceedings of the Nineteenth Conference on Computational Natural Language Learning. Association for Computational Linguistics, 2015. http://dx.doi.org/10.18653/v1/k15-1038.

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Hadi, Cholichul, Suen Mein-Woei, Danny Arfensia, Riris Ristiana, and Putu Wiguna. "What Predicts Students’ Academic Performance." In International Conference on Psychological Studies. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010809700003347.

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Regan, Elizabeth A., John E. Hokanson, Barry J. Make, et al. "Osteoporosis predicts Function In COPD." In American Thoracic Society 2010 International Conference, May 14-19, 2010 • New Orleans. American Thoracic Society, 2010. http://dx.doi.org/10.1164/ajrccm-conference.2010.181.1_meetingabstracts.a5912.

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Gheorghe, Cristina, Rodrigo Vazquez, Frederick Ramos, ramona Dadu, Yaw Amoateng-Adjepong, and Constantine A. Manthous. "“GURGLING” PREDICTS HOSPITAL-ACQUIRED PNEUMONIA." In American Thoracic Society 2010 International Conference, May 14-19, 2010 • New Orleans. American Thoracic Society, 2010. http://dx.doi.org/10.1164/ajrccm-conference.2010.181.1_meetingabstracts.a6195.

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Kornilov, Dimitri A., Alexander I. Melker, and Sergei N. Romanov. "New molecular dynamics predicts fullerene formation." In Fourth International Workshop on Nondestructive Testing and Computer Simulations in Science and Engineering. SPIE, 2001. http://dx.doi.org/10.1117/12.417640.

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Han, MK, CM Hogaboam, S. Murray, KR Flaherty, GB Toews, and FJ Martinez. "Plasma Relaxin Predicts FVC in IPF." In American Thoracic Society 2009 International Conference, May 15-20, 2009 • San Diego, California. American Thoracic Society, 2009. http://dx.doi.org/10.1164/ajrccm-conference.2009.179.1_meetingabstracts.a3014.

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Bourgeois, John, Nicole Weston, Eric Garshick, and Marilyn L. Moy. "Daily Step Count Predicts COPD Exacerbation." In American Thoracic Society 2011 International Conference, May 13-18, 2011 • Denver Colorado. American Thoracic Society, 2011. http://dx.doi.org/10.1164/ajrccm-conference.2011.183.1_meetingabstracts.a3962.

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Raporty organizacyjne na temat "PREDICTS"

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Bartram, Söhnke, Mark Grinblatt, and Yan Xu. Monetary Policy Predicts Currency Movements. National Bureau of Economic Research, 2025. https://doi.org/10.3386/w33423.

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Wu, Yuxin, William Riley, Qing Zhu, and Juliane Mueller. How AI Predicts the Untrained and Unseen. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1769716.

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Novoseltsev, Vassili N., James R. Carey, Janna A. Novoseltseva, and Anatoli I. Yashin. Individual fecundity dynamically predicts remaining life expectancy in medflies. Max Planck Institute for Demographic Research, 2006. http://dx.doi.org/10.4054/mpidr-wp-2006-043.

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Patrick, Susan K. How Preparation Predicts Teaching Performance Assessment Results in California. Learning Policy Institute, 2024. http://dx.doi.org/10.54300/544.849.

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Focusing on the 2021–22 and 2022–23 academic years, this study explored whether certain preparation experiences predicted TPA success. Understanding these relationships can inform programmatic and policy decisions about how to support teaching candidates in entering the workforce with strong preparation and minimal barriers. Using data provided by the California Commission on Teacher Credentialing, this analysis focused on 18,455 California teaching candidates who took either the CalTPA or edTPA—the two widely available TPAs used across California teacher preparation programs—between September
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Palitnonkiat, Visarat, Tharin Thampongsa, Jatuporn Sirikun, and Natthida Owattanapanich. Hypocalcemia Predicts Mortality in Trauma Patients: A Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.3.0116.

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Review question / Objective: To perform a meta-analysis of hypocalcemia in trauma patients relative to mortality as the primary outcome. Condition being studied: This meta-analysis was performed to evaluate the correlation between hypocalcemia and mortality in trauma patients. Eligibility criteria: randomized-controlled trials or cohort studies (either prospective or retrospective) that reported our primary outcome of interest, which is the correlation between hypocalcemia and mortality in trauma patients.
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Allgood, G. O. Development of a neural net paradigm that predicts simulator sickness. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/6178481.

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Allgood, G. O. Development of a neural net paradigm that predicts simulator sickness. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10172277.

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Avellán, Leopoldo M., Vitor G. Cavalcanti, Giulia Lotti, and Shakirah Cossens. What Predicts Problems in Project Execution?: Evidence from Progress Monitoring Reports. Inter-American Development Bank, 2018. http://dx.doi.org/10.18235/0001476.

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Disterhaupt, Jennifer, Erik Skau, Dean Sanzo, and Marc Klasky. (U) A Linear Response Model Predicts Reactivity From a Density Profile. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1765856.

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Stambaugh, Robert, Jianfeng Yu, and Yu Yuan. The Long of It: Odds that Investor Sentiment Spuriously Predicts Anomaly Returns. National Bureau of Economic Research, 2012. http://dx.doi.org/10.3386/w18231.

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