Academic literature on the topic 'Spearman's rank correlation'

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Journal articles on the topic "Spearman's rank correlation"

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Chambers, Ll G. "73.52 Spearman's Rank Correlation Coefficient." Mathematical Gazette 73, no. 466 (1989): 331. http://dx.doi.org/10.2307/3619313.

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Burghes, David N. "Teaching Spearman's Rank Correlation Coefficient." Teaching Statistics 15, no. 3 (1993): 68–69. http://dx.doi.org/10.1111/j.1467-9639.1993.tb00658.x.

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Lovie, A. D. "Who discovered Spearman's rank correlation?" British Journal of Mathematical and Statistical Psychology 48, no. 2 (1995): 255–69. http://dx.doi.org/10.1111/j.2044-8317.1995.tb01063.x.

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FUEDA, Kaoru. "SPEARMAN'S RANK CORRELATION TYPE TWO-SAMPLE TEST." Memoirs of the Faculty of Science, Kyusyu University. Series A, Mathematics 47, no. 1 (1993): 27–39. http://dx.doi.org/10.2206/kyushumfs.47.27.

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Gautheir, Thomas D. "Detecting Trends Using Spearman's Rank Correlation Coefficient." Environmental Forensics 2, no. 4 (2001): 359–62. http://dx.doi.org/10.1080/713848278.

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Ramsey, Philip H. "Critical Values for Spearman's Rank Order Correlation." Journal of Educational Statistics 14, no. 3 (1989): 245. http://dx.doi.org/10.2307/1165017.

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Gauthier, T. "Detecting Trends Using Spearman's Rank Correlation Coefficient." Environmental Forensics 2, no. 4 (2001): 359–62. http://dx.doi.org/10.1006/enfo.2001.0061.

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Liu, Qi, Chun Li, Valentine Wanga, and Bryan E. Shepherd. "Covariate-adjusted Spearman's rank correlation with probability-scale residuals." Biometrics 74, no. 2 (2017): 595–605. http://dx.doi.org/10.1111/biom.12812.

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Henery, R. J. "Asymptotic convergence in distribution for spearman's rank correlation coefficient." Communications in Statistics - Simulation and Computation 17, no. 4 (1988): 1449–52. http://dx.doi.org/10.1080/03610918808812734.

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Hauke, Jan, and Tomasz Kossowski. "Comparison of Values of Pearson's and Spearman's Correlation Coefficients on the Same Sets of Data." Quaestiones Geographicae 30, no. 2 (2011): 87–93. http://dx.doi.org/10.2478/v10117-011-0021-1.

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Comparison of Values of Pearson's and Spearman's Correlation Coefficients on the Same Sets of Data Spearman's rank correlation coefficient is a nonparametric (distribution-free) rank statistic proposed by Charles Spearman as a measure of the strength of an association between two variables. It is a measure of a monotone association that is used when the distribution of data makes Pearson's correlation coefficient undesirable or misleading. Spearman's coefficient is not a measure of the linear relationship between two variables, as some "statisticians" declare. It assesses how well an arbitrary
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Dissertations / Theses on the topic "Spearman's rank correlation"

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Twagirumukiza, Etienne. "Analysis of Faculty Evaluation by Students as a Reliable Measure of Faculty Teaching Performance." Digital Archive @ GSU, 2011. http://digitalarchive.gsu.edu/math_theses/105.

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Most American universities and colleges require students to provide faculty evaluation at end of each academic term, as a way of measuring faculty teaching performance. Although some analysts think that this kind of evaluation does not necessarily provide a good measurement of teaching effectiveness, there is a growing agreement in the academic world about its reliability. This study attempts to find any strong statistical evidence supporting faculty evaluation by students as a measure of faculty teaching effectiveness. Emphasis will be on analyzing relationships between instructor ratings by
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Michal, Ondřej. "Stanovení hodnot materiálových parametrů s využitím experimentů různých konfigurací." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2012. http://www.nusl.cz/ntk/nusl-225579.

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The work occupy by inverse analysis based on artificial neural network. This identification algorithm enable correct determine parameters of applied material model on creation of numerical model of construction so it's possible that the results of computerized simulation correspond with experiments. It look's like suitable approach especially in cases with complicated problems and complex models with many material parameters.
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CHEN, ZHAOREN. "ANALYSIS OF EQUITY MARKETS: A SPEARMAN RANK CORRELATION COEFFICIENT APPROACH." Thesis, The University of Arizona, 2016. http://hdl.handle.net/10150/612636.

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In this honors thesis, I attempted to develop an investment strategy to analyze the U.S. stock market by studying the correlations between nine sectors defined by the Select Sector Standard & Poor’s Depository Receipts (SPDR). These funds are a group of exchange-traded funds (ETFs) which are traded worldwide and can adequately represent the performance of the sectors. Through my method, I hope to identify the sector trends in the future by evaluating the sector ETF’s most recent short-term period data. This analysis will provide an alternate investment method for investors to avoid short-term
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Dastmard, Benjamin. "A statistical analysis of the connection between test results and field claims for ECUs in vehicles." Thesis, KTH, Matematisk statistik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-118428.

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The objective of this thesis is to analyse theconnection between test results and field claims of ECUs (electronic controlunits) at Scania in order to improve the acceptance criteria and evaluatesoftware testing strategies. The connection is examined through computation ofdifferent measures of dependencies such as the Pearson’s correlation, Spearman’srank correlation and Kendall’s tau. The correlations are computed from testresults in different ECU projects and considered in a predictive model based onlogistic regression. Numerical results indicate a weak connection between testresults and fie
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Louw, Charl. "The presentation of self-concept and emotional profile in a cardiological population." Diss., Pretoria : [s.n.], 2004. http://upetd.up.ac.za/thesis/available/etd-02092005-092504.

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Liebenberg, Andre. "The relationship between economic freedom, political freedom and economic growth." Diss., University of Pretoria, 2012. http://hdl.handle.net/2263/30619.

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The research aims to investigate the relationship between economic freedom, political freedom and economic growth. The Arab Spring placed renewed interest on the topic of freedom, yet current economic conditions seemingly contradicted the established theory. The largest free economies were being outperformed by those with less political and economic freedom.Three objectives were specified to answer the research question. The first objective aimed to determine the association between economic freedom, political freedom and economic growth, for which Spearman’s correlation was used. The second o
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HUANG, SHIJING. "ESTIMATING ILLEGAL DRUG MARKET LOCATION IN CINCINNATI USING THE HUFF MODEL." University of Cincinnati / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1090862711.

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Barnes, Samantha Jones. "Characterization of the Serologic Responses to Plasmodium vivax DBPII Variants Among Inhabitants of Pursat Province, Cambodia." Scholar Commons, 2011. http://scholarcommons.usf.edu/etd/3970.

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The Plasmodium vivax Duffy Binding Protein (DBP) is the ligand in the major pathway for P. vivax invasion of human reticulocytes, making it an appealing vaccine candidate. Region II of DBP (DBP-RII) is the minimal portion of the ligand that mediates recognition of the Duffy Antigen Receptor for Chemokines (DARC receptor) on the reticulocyte surface and constitutes the primary vaccine target. Analysis of natural variation in the coding sequences of DBP-RII revealed signature evidence for selective pressure driving variation in the residues of the putative receptor-binding site. We hypothesize t
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VOMÁČKA, Pavel. "Možnosti promítnutí rizika do hodnocení finanční situace podniku." Master's thesis, 2014. http://www.nusl.cz/ntk/nusl-174018.

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Objective of this Master's thesis is to evaluate different ways of measuring financial performance of enterprise. Economic Value Added is compared with older, traditional indicators of profitability. Emphasis lies on general applicability. In theoretical part, history of entrepreneurial goals is in addition to the actual analysis of tested indicators outlined. EVA, profitability ratios are assessed using a sample of 100 Czech manufacturing companies. In practical part, outputs of thesis apart from actual testing are stated.
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Books on the topic "Spearman's rank correlation"

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Sloan, Luke, and Rob Angell. Spearman’s Rank-Order Correlation Coefficient and the General Social Survey (2012): Income and Political Influence. SAGE Publications, Ltd., 2015. http://dx.doi.org/10.4135/9781473937987.

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Sloan, Luke, and Rob Angell. Spearman’s Rank-Order Correlation Coefficient and the General Social Survey (2012): Highest Level of Education and Income. SAGE Publications, Ltd., 2015. http://dx.doi.org/10.4135/9781473937857.

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Spearman's Rank-Order Correlation Coefficient and the World DataBank (2012): Gross Domestic Product Per Capita and Internet Access. SAGE Publications, Ltd., 2015. http://dx.doi.org/10.4135/9781473937871.

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Spearman’s Rank-Order Correlation Coefficient and the Global Health Observatory Data (2012): Life Expectancy and Per Capita Government Health Spending. SAGE Publications, Ltd., 2015. http://dx.doi.org/10.4135/9781473948181.

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Book chapters on the topic "Spearman's rank correlation"

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Gooch, Jan W. "Spearman Rank Correlation Coefficient." In Encyclopedic Dictionary of Polymers. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_15382.

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MacFarland, Thomas W., and Jan M. Yates. "Spearman’s Rank-Difference Coefficient of Correlation." In Introduction to Nonparametric Statistics for the Biological Sciences Using R. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30634-6_8.

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Zhang, Xueyan, Yixuan Zhang, Ye Yang, Chengcheng Deng, and Jun Yang. "Uncertainty Analysis and Sensitivity Evaluation of a Main Steam Line Break Accident on an Advanced PWR." In Springer Proceedings in Physics. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1023-6_30.

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AbstractA RELAP5 input model was established for a scaled-up facility simulating China's Advanced Passive Water Reactor with passive safety features. The simulation was performed to reproduce a Main Steam Line Break (MSLB) scenario at steam line connected to one Steam Generator. The figure of merit selected in this accident scenario includes the maximum containment pressure, mass and energy release to containment. Driving factors of this response function include Passive Residue Heat Removal material thermal conductivity, Pressurizer temperature, and broken steam line temperature.To achieve an
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Baszczyńska, Aleksandra, and Czesław Domański. "Distribution of the Spearman’s Rank Correlation Coefficient." In Operations Research ’92. Physica-Verlag HD, 1993. http://dx.doi.org/10.1007/978-3-662-12629-5_95.

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Williams, R. B. G. "Spearman’s and Kendall’s Coefficients of Rank Correlation." In Intermediate Statistics for Geographers and Earth Scientists. Macmillan Education UK, 1986. http://dx.doi.org/10.1007/978-1-349-06813-5_6.

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Kokoska, Stephen, and Christopher Nevison. "Critical Values For Spearman’s Rank Correlation Coefficient." In Springer Texts in Statistics. Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4613-9629-1_22.

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Grzegorzewski, Przemysław, and Paulina Ziembińska. "Spearman’s Rank Correlation Coefficient for Vague Preferences." In Flexible Query Answering Systems. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24764-4_30.

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Shah, Dharambhai, and Tanish Zaveri. "Hyperspectral Endmember Extraction Algorithm Using Spearman’s Rank Correlation." In Algorithms for Intelligent Systems. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5077-5_27.

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Navarro, Danielle, and David Foxcroft. "12. Correlation and linear regression." In Learning Statistics with jamovi. Open Book Publishers, 2025. https://doi.org/10.11647/obp.0333.12.

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This chapter delves into correlation and linear regression, foundational techniques in statistical analysis for exploring relationships between continuous predictors and outcomes. Beginning with the concept of correlations, the chapter examines how variables relate to each other in data, using scatterplots and descriptive statistics to visualise and interpret the strength and direction of relationships. Pearson’s correlation coefficient r is introduced as a measure ranging from -1 (perfect negative correlation) to +1 (perfect positive correlation), alongside practical guidance on its calculati
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Khare, Shreya, Akshay Bhandari, Saurabh Singh, and Anuja Arora. "ECG Arrhythmia Classification Using Spearman Rank Correlation and Support Vector Machine." In Advances in Intelligent and Soft Computing. Springer India, 2012. http://dx.doi.org/10.1007/978-81-322-0491-6_54.

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Conference papers on the topic "Spearman's rank correlation"

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Wood, Kurt. "New SSPC Paint 47 Fluoropolymer Topcoat Standard for Protective and Restoration Coatings." In Coatings+ 2021. SSPC, 2021. https://doi.org/10.5006/s2021-00027.

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Abstract Since the 1980s, fluoropolymer resin technologies have offered the possibility of a quantum improvement in topcoat decorative properties- gloss and color retention- compared to conventional acrylic and polyester resins. Specifiers of both protective and architectural restoration coatings systems have expressed a need for a new SSPC standard for field-applied fluoropolymer topcoats, particularly for bright and saturated colors. In the past few years, the SSPC C.1.8 committee worked to develop such a standard, which issued in December 2020 as SSPC Paint 471. A key challenge has been to
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Fan, Xiao, Qi Wang, Kaiyuan Liu, Min Li, and Pu Liu. "A coherence algorithm based on Spearman's rank correlation." In SEG Technical Program Expanded Abstracts 2018. Society of Exploration Geophysicists, 2018. http://dx.doi.org/10.1190/segam2018-2996512.1.

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Hernández-Aguirre, Arturo, Enrique Villa-Diharce, and Selma Barba-Moreno. "An estimation distribution algorithm with the spearman's rank correlation index." In the 10th annual conference. ACM Press, 2008. http://dx.doi.org/10.1145/1389095.1389182.

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Ferdous, Rayhan, Md Zahidul Islam, and Ferdous Bin Ali. "Identifying miRNA-mRNA interactions by a combination of spearman's rank correlation and IDA." In 2016 International Conference on Informatics, Electronics and Vision (ICIEV). IEEE, 2016. http://dx.doi.org/10.1109/iciev.2016.7760131.

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Dulkarnaev, Marat Rafailevich, Evgeny Alexandrovich Malyavko, Ekaterina Evgenievna Semyonova, et al. "The Use of Quantum Dot Inflow Tracers in Multi-Well Reservoir Production Surveillance and Inter-Well Diagnostics." In SPE Symposium: Petrophysics XXI. Core, Well Logging, and Well Testing. SPE, 2021. http://dx.doi.org/10.2118/208430-ms.

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Abstract Reservoir pressure maintenance is an extremely important factor in field development. In enhanced oil recovery water flooding projects, it is essential to optimize the flooding efficiency in a timely manner and reduce uncertainties in inter-well hydrodynamic modelling. Usually, the inter-well space parameters are assessed using interference tests or tracer- based surveillance. These methods offer such advantages as reliable information on the flow communication in the target area and the reservoir connectivity in different zones of the field. However, the duration and cost of the desc
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Alkhatib, Amr, and Henrik Boström. "Fast Approximation of Shapley Values with Limited Data." In 14th Scandinavian Conference on Artificial Intelligence SCAI 2024, June 10-11, 2024, Jönköping, Sweden. Linköping University Electronic Press, 2024. http://dx.doi.org/10.3384/ecp208011.

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Shapley values have multiple desired and theoretically proven properties for explaining black-box model predictions. However, the exact computation of Shapley values can be computationally very expensive, precluding their use when timely explanations are required. FastSHAP is an approach for fast approximation of Shapley values using a trained neural network (the explainer). A novel approach, called FF-SHAP, is proposed, which incorporates three modifications to FastSHAP: i) the explainer is trained on ground-truth explanations rather than a weighted least squares characterization of the Shapl
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Pavulena, Laura, and Janis Pavulens. "Conversations between Rural Basic School Students, Parents and Teachers about Students’ Learning." In 16th International Scientific Conference "Rural Environment. Education. Personality. (REEP)". Latvia University of Life Sciences and Technologies. Faculty of Engineering. Institute of Education and Home Economics, 2023. http://dx.doi.org/10.22616/reep.2023.16.013.

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Students grow up and learn in various changing environments that channel their developmental trajectories, moreover, they are not passive targets of environmental influences, but active participants who receive diverse feedback about their successes and failures. Timely formative feedback about their learning helps students to adjust their goals, plans, and behaviour, as well as develop agency/co-agency, which is one of the most important tasks in lifelong learning during this century. Therefore, it is important to find out how frequent and qualitative is the feedback on students' learning pro
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Kharkivska, Alla, Alona Prokopenko, and Nelli Tarasenko. "Forms and methods of preserving and strengthening children’s health in the conditions of today’s military challenges." In VI International Conference on European Dimensions of Sustainablе Development. National University of Food Technologies, 2024. https://doi.org/10.24263/edsd-2024-6-26.

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The study highlights the main aspects of the process of preserving and strengthening children’s health in the conditions of today’s military challenges. It is emphasized that the preservation and strengthening of children’s health in the conditions of today’s military challenges is made possible by the introduction of traditional and innovative forms and methods into the process of children’s education and upbringing (forum theaters, game libraries, discos, graffiti contests, dance contests, flash mobs, contests of theatrical productions, quizzes, station quests, dance contests, sports competi
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Szmidt, Eulalia, and Janusz Kacprzyk. "The Spearman rank correlation coefficient between intuitionistic fuzzy sets." In 2010 5th IEEE International Conference Intelligent Systems (IS). IEEE, 2010. http://dx.doi.org/10.1109/is.2010.5548399.

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Pratama, Edo, Syahrir Ridha, and Berihun Mamo Negash. "Well Pair Based Communication Strength Analysis for Water Injection Reservoir Surveillance Using Monte Carlo Simulation Coupled with Machine Learning Approach." In Offshore Technology Conference Asia. OTC, 2022. http://dx.doi.org/10.4043/31438-ms.

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Abstract With the increasing of water injection activities especially for marginal or stranded fields, the well pair analysis in routine water injection surveillance is crucial to understand the reservoir performance and identify opportunities to improve the ultimate oil recovery. This article aims to propose an alternative technique to evaluate the communication strength between injector – producer well pairs based on statistical and machine learning algorithms. The proposed technique is applied to an offshore water injection field located in the North Sea from open-source data. A novel formu
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Reports on the topic "Spearman's rank correlation"

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KHUDALOVA, M., V. FILONENKO, and E. KUDZOEVA. PSYCHOSOMATICS IN CONNECTION WITH THE AFFECTIVE DISORDERS OF PERSONALITY. Science and Innovation Center Publishing House, 2021. http://dx.doi.org/10.12731/2658-4034-2021-12-4-2-365-374.

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In recent years, we can notice a significant increase in psychosomatic disorders among borderline mental pathology, which are reasonably considered “the pathology of modern civilization”. The purpose of this study is to identify the relationship between psychosomatic disorders and the affective disorders of the personality. The study used the following methods: a diagnostic conversation and analysis of medical documents with the results of clinical examination, a scale for psychological express diagnostics of semi-structured depressive disorders (based on MMPI), a self-assessment scale by Ch.D
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Jittapiromsak, Nutchawan. Value of Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Determining the Plasma Epstein-Barr Virus Status and Staging of Nasopharyngeal Carcinoma. Faculty of Medicine, Chulalongkorn University, 2019. https://doi.org/10.58837/chula.res.2019.9.

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Objective: To determine the associations between dynamic-contrast enhanced (DCE) magnetic resonance imaging (MRI) parameters and plasma Epstein-Barr virus (EBV) DNA status and nasopharyngeal carcinoma (NPC) stages. Methods: We prospectively studied the DCE MRI results of 47 patients with newly diagnosed NPC and a known pre-treatment plasma EBV DNA level. Regions of interest (ROIs) were drawn at primary tumors, and DCE MRI parameters, including mean and max values of Ktrans, Kep Ve, and Vp, were recorded. Spearman’s rank correlation was used to identify significant associations between DCE MRI
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McKee, Anna, and Ann Couch. Land use and dog park associations with Escherichia coli in the Chattahoochee River National Recreation Area watershed. National Park Service, 2024. http://dx.doi.org/10.36967/2302755.

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A recent study in the Chattahoochee River National Recreation Area (CHAT) indicated that dogs were a primary source of fecal contamination in the Chattahoochee River and that at least some of the contamination in the river was coming from locations outside of CHAT. The study herein sought to determine if dog parks in the CHAT watershed were sources of dog fecal contamination in streams within the watershed. Escherichia coli (E. coli) data were compiled from the Chattahoochee Riverkeeper Neighborhood Water Watch (NWW) program for sites within the CHAT watershed. Information about dog park locat
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Brown, Yolanda, Twonia Goyer, and Maragaret Harvey. Heart Failure 30-Day Readmission Frequency, Rates, and HF Classification. University of Tennessee Health Science Center, 2020. http://dx.doi.org/10.21007/con.dnp.2020.0002.

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30 Day Hospital Readmission Rates, Frequencies, and Heart Failure Classification for Patients with Heart Failure Background Congestive heart failure (CHF) is the leading cause of mortality, morbidity, and disability worldwide among patients. Both the incidence and the prevalence of heart failure are age dependent and are relatively common in individuals 40 years of age and older. CHF is one of the leading causes of inpatient hospitalization readmission in the United States, with readmission rates remaining above the 20% goal within 30 days. The Center for Medicare and Medicaid Services imposes
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