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Thematische Bibliographien / Graphical score / Zeitschriftenartikel

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Zeitschriftenartikel zum Thema „Graphical score“

Autor: Grafiati

Veröffentlicht am 7. September 2021

Zuletzt aktualisiert am 29. Juli 2025

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1

Wu, Aifeng. "Influence of traditional graphics integration on information system user experience: Investigating the mediating role of interaction systems and the moderating role of national graphics standards." Edelweiss Applied Science and Technology 9, no. 3 (2025): 932–41. https://doi.org/10.55214/25768484.v9i3.5383.

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This study examines the influence of traditional graphics on the user experience (UX) in digital interfaces by integrating cultural visual elements to evaluate usability. Symbols that were categorized based on the score of Cultural Representation Score (CRS), Graphical Complexity Index (GCI), and Usability Compatibility Factor (UCF) and ranked based on the score of Weighted Graphical Index (WGI) turned out to be calligraphic symbols with a WGI score of 8.3. The use and comparison of three interface prototypes: Baseline System (BS), Moderate Integration System (MIS), and High Integration System

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Bentzien, Sabrina, and Petra Friederichs. "Decomposition and graphical portrayal of the quantile score." Quarterly Journal of the Royal Meteorological Society 140, no. 683 (2014): 1924–34. http://dx.doi.org/10.1002/qj.2284.

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Fan, Xinyan, Qingzhao Zhang, Shuangge Ma, and Kuangnan Fang. "Conditional score matching for high-dimensional partial graphical models." Computational Statistics & Data Analysis 153 (January 2021): 107066. http://dx.doi.org/10.1016/j.csda.2020.107066.

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Lin, Lina, Mathias Drton, and Ali Shojaie. "Estimation of high-dimensional graphical models using regularized score matching." Electronic Journal of Statistics 10, no. 1 (2016): 806–54. http://dx.doi.org/10.1214/16-ejs1126.

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Vickery, Lindsay. "The Evolution of Notational Innovations from the Mobile Score to the Screen Score." Organised Sound 17, no. 2 (2012): 128–36. http://dx.doi.org/10.1017/s1355771812000052.

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This article examines the evolution of music notational practices from avant-garde-era experiments in ‘mobility’ to the advent of the digital ‘screen score’. It considers the varied goals of the composers who initiated these developments and the dissonance between these goals and the practical possibilities actually afforded by the paper score.The advent of graphical computing is charted along with the consequent expansion of possibilities afforded by screening the score from a platform that also provides the potential for performer coordination, sound synthesis and transformation. The perform

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Raras, Merdu, and Heru Kuswanto. "Developing Jemparingan Tradition-Based and Android-Assisted Learning Media for Improving the Graphic and Vector Representation Ability." International Journal of Interactive Mobile Technologies (iJIM) 13, no. 05 (2019): 58. http://dx.doi.org/10.3991/ijim.v13i05.9926.

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<p class="0abstract"><strong></strong>This study aimed to (1) develop a suitable learning device of Jemparingan Tradition-based (JEMASIK) Android-assisted (2) to know the effect of JEMASIK-based media to improve the representation ability of graphical and vector in sub-chapter of parabolic motion vector. The total sample on field test trial were 61 students, consisted of 29 control class students and 31 experimental class students. The research results showed that there were differences between experimental classes using JEMASIK and control classes using Power Point media. T

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Chiarla, Carlo, Ivo Giovannini, Francesco Ardito, Maria Vellone, and Felice Giuliante. "Graphical display of Model for End-stage Liver Disease (MELD) score." Liver International 32, no. 8 (2012): 1322–23. http://dx.doi.org/10.1111/j.1478-3231.2012.02843.x.

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Bhattacharjya, Debarun, Tian Gao, Dharmashankar Subramanian, and Xiao Shou. "Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 10 (2023): 12189–97. http://dx.doi.org/10.1609/aaai.v37i10.26437.

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Graphical event models (GEMs) are representations of temporal point process dynamics between different event types. Many real-world applications however involve limited event stream data, making it challenging to learn GEMs from data alone. In this paper, we introduce approaches that can work together in a score-based learning paradigm, to augment data with potentially different types of background knowledge. We propose novel scores for learning an important parametric class of GEMs; in particular, we propose a Bayesian score for leveraging prior information as well as a more practical simplif

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Domínguez Salas, Manuel. "ABDUCTIVE REASONING AS A MODEL FOR MUSICAL CREATION IN JULIO ESTRADA’S MUSICAL WORKS." Culture Crossroads 22 (September 13, 2023): 88–104. http://dx.doi.org/10.55877/cc.vol22.440.

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The paper deals with two philosophical postulates that although at first sight both do not have a direct link, it is my hypothesis that there may be a connection between them since in each one imagination plays an important role in the process of scientific discovery. On the one hand, it deals with the abductive reasoning by Charles Sanders Pierce (1839–1914), focusing on the problem related with abduction and scientific imagination, graphicacy or the ability to represent ideas through images, beelddenken or “pictorial thinking” as a form of communicating ideas without the use of any verbal fo

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Blattenberger, Gail, and Frank Lad. "Separating the Brier Score into Calibration and Refinement Components: A Graphical Exposition." American Statistician 39, no. 1 (1985): 26. http://dx.doi.org/10.2307/2683902.

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Zwick, Rebecca, Diego Zapata-Rivera, and Mary Hegarty. "Comparing Graphical and Verbal Representations of Measurement Error In Test Score Reports." Educational Assessment 19, no. 2 (2014): 116–38. http://dx.doi.org/10.1080/10627197.2014.903653.

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Blattenberger, Gail, and Frank Lad. "Separating the Brier Score into Calibration and Refinement Components: A Graphical Exposition." American Statistician 39, no. 1 (1985): 26–32. http://dx.doi.org/10.1080/00031305.1985.10479382.

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Díez, Francisco Javier, Manuel Arias, Jorge Pérez-Martín, and Manuel Luque. "Teaching Probabilistic Graphical Models with OpenMarkov." Mathematics 10, no. 19 (2022): 3577. http://dx.doi.org/10.3390/math10193577.

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OpenMarkov is an open-source software tool for probabilistic graphical models. It has been developed especially for medicine, but has also been used to build applications in other fields and for tuition, in more than 30 countries. In this paper we explain how to use it as a pedagogical tool to teach the main concepts of Bayesian networks and influence diagrams, such as conditional dependence and independence, d-separation, Markov blankets, explaining away, optimal policies, expected utilities, etc., and some inference algorithms: logic sampling, likelihood weighting, and arc reversal. The faci

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Bhukya, Venkatesh, Charan Sai Golla, Meera Alphy Dr., and Shirisha K. "Quiz Game Application." Research and Applications of Web Development and Design 7, no. 3 (2024): 34–42. https://doi.org/10.5281/zenodo.12803724.

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<em>Our system implements a simple quiz application using the Tkinter library for the graphical user interface. The quiz consists of multiple-choice questions with randomized options. The user selects an answer for each question and submits it. The application checks the answer and provides feedback to the user, showing whether the answer is correct or incorrect .The user's score is displayed during the quiz, and the high score is tracked and saved between sessions .The quiz includes a countdown timer for each question, and the user must complete the quiz within the allotted time. The applicat

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Dias, Norman Ignatius, Mouleeswaran Singanallur Kumaresan, and Reeja Sundaran Rajakumari. "Deep learning based graphical password authentication approach against shoulder-surfing attacks." Multiagent and Grid Systems 19, no. 1 (2023): 99–115. http://dx.doi.org/10.3233/mgs-230024.

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The password used to authenticate users is vulnerable to shoulder-surfing assaults, in which attackers directly observe users and steal their passwords without using any other technical upkeep. The graphical password system is regarded as a likely backup plan to the alphanumeric password system. Additionally, for system privacy and security, a number of programs make considerable use of the graphical password-based authentication method. The user chooses the image for the authentication procedure when using a graphical password. Furthermore, graphical password approaches are more secure than t

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Souza, Fernando, and Adolfo Maia Jr. "A Mathematical, Graphical and Visual Approach to Granular Synthesis Composition." Revista Vórtex 9, no. 2 (2021): 1–27. http://dx.doi.org/10.33871/23179937.2021.9.2.4.

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We show a method for Granular Synthesis Composition based on a mathematical modeling for the musical gesture. Each gesture is drawn as a curve generated from a particular mathematical model (or function) and coded as a MATLAB script. The gestures can be deterministic through defining mathematical time functions, hand free drawn, or even randomly generated. This parametric information of gestures is interpreted through OSC messages by a granular synthesizer (Granular Streamer). The musical composition is then realized with the models (scripts) written in MATLAB and exported to a graphical score

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Steiner, Peter M., Yongnam Kim, Courtney E. Hall, and Dan Su. "Graphical Models for Quasi-experimental Designs." Sociological Methods & Research 46, no. 2 (2015): 155–88. http://dx.doi.org/10.1177/0049124115582272.

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Randomized controlled trials (RCTs) and quasi-experimental designs like regression discontinuity (RD) designs, instrumental variable (IV) designs, and matching and propensity score (PS) designs are frequently used for inferring causal effects. It is well known that the features of these designs facilitate the identification of a causal estimand and, thus, warrant a causal interpretation of the estimated effect. In this article, we discuss and compare the identifying assumptions of quasi-experiments using causal graphs. The increasing complexity of the causal graphs as one switches from an RCT

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Cole, T. J., E. Hey, and S. Richmond. "The PREM score: a graphical tool for predicting survival in very preterm births." Archives of Disease in Childhood - Fetal and Neonatal Edition 95, no. 1 (2009): F14—F19. http://dx.doi.org/10.1136/adc.2009.164533.

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Huang, Xiao-Tai, Yuan Zhu, Leanne Lai Hang Chan, Zhongying Zhao, and Hong Yan. "An integrative C. elegans protein–protein interaction network with reliability assessment based on a probabilistic graphical model." Molecular BioSystems 12, no. 1 (2016): 85–92. http://dx.doi.org/10.1039/c5mb00417a.

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We construct an integrative protein–protein interaction (PPI) network in Caenorhabditis elegans, which is weighted by our proposed reliability score based on a probability graphical model (RSPGM) method.

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Montes-Rojas, Gabriel V. "Nonparametric Estimation of ATE and QTE: An Application of Fractile Graphical Analysis." Journal of Probability and Statistics 2011 (2011): 1–23. http://dx.doi.org/10.1155/2011/874251.

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Nonparametric estimators for average and quantile treatment effects are constructed using Fractile Graphical Analysis, under the identifying assumption that selection to treatment is based on observable characteristics. The proposed method has two steps: first, the propensity score is estimated, and, second, a blocking estimation procedure using this estimate is used to compute treatment effects. In both cases, the estimators are proved to be consistent. Monte Carlo results show a better performance than other procedures based on the propensity score. Finally, these estimators are applied to a

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Hughes, Gareth, Jennifer Kopetzky, and Neil McRoberts. "Mutual Information as a Performance Measure for Binary Predictors Characterized by Both ROC Curve and PROC Curve Analysis." Entropy 22, no. 9 (2020): 938. http://dx.doi.org/10.3390/e22090938.

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The predictive receiver operating characteristic (PROC) curve differs from the more well-known receiver operating characteristic (ROC) curve in that it provides a basis for the evaluation of binary diagnostic tests using metrics defined conditionally on the outcome of the test rather than metrics defined conditionally on the actual disease status. Application of PROC curve analysis may be hindered by the complex graphical patterns that are sometimes generated. Here we present an information theoretic analysis that allows concurrent evaluation of PROC curves and ROC curves together in a simple

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Magnusson, Thor. "Algorithms as Scores: Coding Live Music." Leonardo Music Journal 21 (December 2011): 19–23. http://dx.doi.org/10.1162/lmj_a_00056.

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The author discusses live coding as a new path in the evolution of the musical score. Live-coding practice accentuates the score, and whilst it is the perfect vehicle for the performance of algorithmic music it also transforms the compositional process itself into a live event. As a continuation of 20th-century artistic developments of the musical score, live-coding systems often embrace graphical elements and language syntaxes foreign to standard programming languages. The author presents live coding as a highly technologized artistic practice, shedding light on how non-linearity, play and ge

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Kwon, Hyeokhyen, Gari D. Clifford, Imari Genias, et al. "An Explainable Spatial-Temporal Graphical Convolutional Network to Score Freezing of Gait in Parkinsonian Patients." Sensors 23, no. 4 (2023): 1766. http://dx.doi.org/10.3390/s23041766.

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Freezing of gait (FOG) is a poorly understood heterogeneous gait disorder seen in patients with parkinsonism which contributes to significant morbidity and social isolation. FOG is currently measured with scales that are typically performed by movement disorders specialists (i.e., MDS-UPDRS), or through patient completed questionnaires (N-FOG-Q) both of which are inadequate in addressing the heterogeneous nature of the disorder and are unsuitable for use in clinical trials The purpose of this study was to devise a method to measure FOG objectively, hence improving our ability to identify it an

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Utami, Wiwik, Erna Setiany, Nurul Hidayah, and Zubir Azhar. "The Graphical Information in Sustainability Reports and Corporate Performance: A Southeast Asian Case Study." Jurnal Ilmiah Akuntansi 8, no. 2 (2023): 607–34. http://dx.doi.org/10.23887/jia.v8i2.65278.

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The primary objective of this study is to evaluate the graphical information quality within sustainability reports produced by companies in Southeast Asia that voluntarily disclose such reports. Additionally, the research delves into examining the correlation between graphical sustainability reporting and corporate performance, encompassing both financial and market-based indicators. The study focuses on companies in Southeast Asia that submit sustainability reports through the global reporting portal (www.globalreporting.org). A total of 132 sustainability reports from 33 companies in the Phi

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Gore, John L., Jason Izard, Daniel I. Avery, Cheryl Shih, and Andrea Hartzler. "Comprehension and preferences for graphical representations of quality of life after prostate cancer treatment." Journal of Clinical Oncology 30, no. 5_suppl (2012): 76. http://dx.doi.org/10.1200/jco.2012.30.5_suppl.76.

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76 Background: Integration of quality of life (QoL) measurement into clinical prostate cancer (PCa) practice may enhance patients’ communication with clinicians, improve satisfaction with care, and affect the delivery of secondary therapies. A necessary step to achieve these benefits is illustrating QoL in ways patients can understand and use. Through a patient-partnered project, we developed graphical representations of prostate cancer QoL (dashboards) and compared patients’ comprehension and preferences among four alternative formats: table, bar chart, line graph, and pictograph. Methods: We

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DeFilippis, Nicholas, Jayde King, Thomas Guinn, et al. "Evaluation of Graphical Weather Product Interpretation: Implications for Overlaying Weather Product Design." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (2018): 2003–7. http://dx.doi.org/10.1177/1541931218621453.

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The majority of Aviation Weather-related accidents occur in the General Aviation (GA) community. In order to improve pilot safety, the FAA and Aviation Weather Center are working towards developing tools which have an improved level of effectiveness. Unfortunately, shortcomings in the interpretability of these tools can lead to further dangerous situations. The new Graphical Forecast for Aviation (GFA) tool is an unfortunate example. The GFA is composed of three previously existing weather displays: Radar, Satellite, and Station Plots. This study assessed and compared pilots’ interpretation of

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Tazare, John, Liam Smeeth, Stephen J. W. Evans, Ian J. Douglas, and Elizabeth J. Williamson. "hdps: A suite of commands for applying high-dimensional propensity-score approaches." Stata Journal: Promoting communications on statistics and Stata 23, no. 3 (2023): 683–708. http://dx.doi.org/10.1177/1536867x231196288.

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Large healthcare databases are increasingly used for research investigating the effects of medications. However, a key challenge is capturing hard-to-measure concepts (often relating to frailty and disease severity) that can be crucial for successful confounder adjustment. The high-dimensional propensity score has been proposed as a data-driven method to improve confounder adjustment within healthcare databases and was developed in the context of administrative claims databases. We present hdps, a suite of commands implementing this approach in Stata that assesses the prevalence of codes, gene

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Fang, Tianshu, Yuanyuan Yang, and Lixin Zhou. "Enhanced Precision in Chinese Medical Text Mining Using the ALBERT+Bi-LSTM+CRF Model." Applied Sciences 14, no. 17 (2024): 7999. http://dx.doi.org/10.3390/app14177999.

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Medical texts are rich in specialized knowledge and medical information. As the medical and healthcare sectors are becoming more digitized, many medical texts must be effectively harnessed to derive insights and patterns. Thus, great attention is directed to this emerging research area. Generally, natural language processing (NLP) algorithms are employed to extract comprehensive information from unstructured medical texts, aiming to construct a graphical database for medical knowledge. One of the needs is to optimize model sizes while maintaining the precision of the BART algorithm. A novel ca

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Alpert, Jordan M., Naga S. Prabhakar Kota, Sanjay Ranka, et al. "A Simulated Graphical Interface for Integrating Patient-Generated Health Data From Smartwatches With Electronic Health Records: Usability Study." JMIR Human Factors 7, no. 4 (2020): e19769. http://dx.doi.org/10.2196/19769.

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Background Wearable technology, such as smartwatches, can capture valuable patient-generated data and help inform patient care. Electronic health records provide logical and practical platforms for including such data, but it is necessary to evaluate the way the data are presented and visualized. Objective The aim of this study is to evaluate a graphical interface that displays patients’ health data from smartwatches, mimicking the integration within the environment of electronic health records. Methods A total of 12 health care professionals evaluated a simulated interface using a usability s

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Yaghouby, Farid, Bruce F. O’Hara, and Sridhar Sunderam. "Unsupervised Estimation of Mouse Sleep Scores and Dynamics Using a Graphical Model of Electrophysiological Measurements." International Journal of Neural Systems 26, no. 04 (2016): 1650017. http://dx.doi.org/10.1142/s0129065716500179.

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The proportion, number of bouts, and mean bout duration of different vigilance states (Wake, NREM, REM) are useful indices of dynamics in experimental sleep research. These metrics are estimated by first scoring state, sometimes using an algorithm, based on electrophysiological measurements such as the electroencephalogram (EEG) and electromyogram (EMG), and computing their values from the score sequence. Isolated errors in the scores can lead to large discrepancies in the estimated sleep metrics. But most algorithms score sleep by classifying the state from EEG/EMG features independently in e

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Nguyen, Tho, Chang Liu, Yi Liu, Ladda Thiamwong, Qian Lou, and Rui Xie. "A GRAPHICAL MODEL APPROACH TO UNVEILING FALL TRIGGERS IN COMMUNITY-DWELLING OLDER ADULTS." Innovation in Aging 8, Supplement_1 (2024): 1044. https://doi.org/10.1093/geroni/igae098.3359.

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Abstract We aim to enhance understanding of fall risk factors and examine their interrelationships in community-dwelling older adults from various domains: sociodemographics, mental well-being, body composition, self-assessed and performance-based fall risk assessments, and physical activity patterns. Our study included 120 subjects aged 60 to 96 years old from Central Florida (average age of 74.8, SD 7.38), 77.5% female, and 29.2% with a history of falling. We used a novel machine learning technique known as the Graphical Model (GM) to analyze the association among 37 fall risk factors. GM re

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Tamburro, Roberto, Francesco Collivignarelli, Ilaria Falerno, Ilaria Cerasoli, and Massimo Vignoli. "Clinical Outcomes and Stifle Osteoarthritis Assessment of Nine Cats Before and After Tibial Plateau Levelling Osteotomy." Acta Veterinaria 70, no. 3 (2020): 346–54. http://dx.doi.org/10.2478/acve-2020-0026.

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AbstractThis study aimed to evaluate the clinical and radio graphical outcome of cats following TPLO surgery for cranial cruciate ligament deficiency. Each cat underwent orthopedic assessment, pre-operative radio graphical evaluation, surgical procedure, postoperative management and clinical re-examination 1, 2, and 12 months following surgery. Age, body weights, TPAs, meniscal tears, implants and osteoarthritis progression were recorded. Postoperative OA score was compared with that obtained 1 year after surgery using a paired t-test with commercially available software. Radio graphical evalu

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Rodriguez, Mauricio. "‘Xa-lan’: Algorithmic Generation of Expressive Music Scores Based on Signal Analysis and Graphical Transformations." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 8, no. 4 (2021): 83–85. http://dx.doi.org/10.1609/aiide.v8i4.12564.

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Xa-lan is a computer program written in Common-LISP to generate music scores with a high level of notational/symbolic expressivity. Generation is driven by audio-analysis of melodic profiles. Once a melodic contour is input to the software, graphic transformations of the original profile stochastically control the different notational elements of the score. The Xa-lan routines display their final output using the ‘Expressive Notation Package’ of PWGL, a LISP-based visual composition environment. A full range of traditional and non-conventional music notation elements can be algorithmically gen

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Ramírez-Aldana, Ricardo, Carmen García-Peña, Luis Miguel Gutiérrez-Robledo, Lorena Parra-Rodriguez, Juan Carlos Gómez-Verján, and Mario Ulises Pérez-Zepeda. "A NETWORK ANALYSIS OF FRAILTY USING DATA FROM THE MEXICAN HEALTH AND AGING STUDY." Innovation in Aging 3, Supplement_1 (2019): S781. http://dx.doi.org/10.1093/geroni/igz038.2873.

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Abstract Frailty remains a challenge in the aging research area with a number of gaps in knowledge still to be filled. New approaches to its study have been proposed, including the one discussed in this article. We tested frailty as through the use of graphical probabilistic models (bayesian networks) with empirical data. Data from the Mexican Health and Aging Study (main data 2012, mortality 2015) was used. Frailty was operationalized with a 35-deficit frailty index (FI). Analyzed nodes were the deficits, plus death and the total score of the FI. The edges, or ties, linking those nodes (set E

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Gresham, Gillian, Gina L. Mazza, Blake Langlais, Bellinda King-Kallimanis, and Lauren J. Rogak. "Graphical representations of patient tolerability data: Recommendations from the National Cancer Institute (NCI) Cancer Moonshot Standardization Working Group." Journal of Clinical Oncology 39, no. 15_suppl (2021): e18612-e18612. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.e18612.

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e18612 Background: Effective communication of treatment tolerability data is essential for clinical decision making and improved patient outcomes, yet standardized approaches to the analysis and visualization of tolerability data in cancer clinical trials are currently limited. To address this need, the Standardization Working Group (SWG) was established within the NCI Cancer Moonshot Tolerability Consortium. This abstract describes the SWG’s initiative to develop a publicly accessible online toolkit with a comprehensive set of guidelines, references, and resources for graphical displays of to

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Chakrabarty, Dalia, Kangrui Wang, Gargi Roy, et al. "Constructing training set using distance between learnt graphical models of time series data on patient physiology, to predict disease scores." PLOS ONE 18, no. 10 (2023): e0292404. http://dx.doi.org/10.1371/journal.pone.0292404.

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Interventional endeavours in medicine include prediction of a score that parametrises a new subject’s susceptibility to a given disease, at the pre-onset stage. Here, for the first time, we provide reliable learning of such a score in the context of the potentially-terminal disease VOD, that often arises after bone marrow transplants. Indeed, the probability of surviving VOD, is correlated with early intervention. In our work, the VOD-score of each patient in a retrospective cohort, is defined as the distance between the (posterior) probability of a random graph variable—given the inter-variab

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Chakraborty, Arya. "Calculation of the Comparative Efficiency of Algorithms Using a Single Metric." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (2023): 2549–53. http://dx.doi.org/10.22214/ijraset.2023.50714.

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Abstract: While time complexity and space complexity of an algorithm helps to determine its efficiency when time or space needs to be optimized respectively, they fail to determine the more efficient algorithm when time and space both need to be optimized simultaneously. This resulted in the development of the A1-Score Factor which solve the problem i.e., helps to find the algorithm which optimizes both time and space simultaneously. The following research paper contains the hypothesis, the proof, the theoretical and the graphical implementation of the A1-Score Factor along with the use cases

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Bryan-Kinns, Nick. "Annotating Distributed Scores for Mutual Engagement in Daisyphone and Beyond." Leonardo Music Journal 21 (December 2011): 51–55. http://dx.doi.org/10.1162/lmj_a_00061.

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Written and drawn annotations of musical scores form a core part of the music composition process for both individuals and groups. This article reflects on the annotations made in new forms of distributed music-making wherein the score and its annotations are shared across the web. Four kinds of annotation are identified from 8 years of studies of mutual engagement through distributed music-making systems. It is suggested that new forms of web-based music-making might benefit from shared and persistent graphical annotation mechanisms.

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Holleman, Ethan T., Erica Duguid, Lisa J. Keefe, and Sarah E. J. Bowman. "Polo: an open-source graphical user interface for crystallization screening." Journal of Applied Crystallography 54, no. 2 (2021): 673–79. http://dx.doi.org/10.1107/s1600576721000108.

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Polo is a Python-based graphical user interface designed to streamline viewing and analysis of images to monitor crystal growth, with a specific target to enable users of the High-Throughput Crystallization Screening Center at Hauptman-Woodward Medical Research Institute (HWI) to efficiently inspect their crystallization experiments. Polo aims to increase efficiency, reducing time spent manually reviewing crystallization images, and to improve the potential of identifying positive crystallization conditions. Polo provides a streamlined one-click graphical interface for the Machine Recognition

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Ignacio, José Lizarán Rus, Gabriel García Martínez Francisco, and Mora Simón Julio. "La aplicación del software libre en la representación de íncipits musicales Methods and techniques for the development of musical incipits." Música Oral del Sur, no. 9 (December 22, 2012): 456–71. https://doi.org/10.5281/zenodo.4633286.

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Resumen: Desde los inicios de la catalogación de la música notada, se ha detectado la necesidad de utilizar los íncipits musicales que faciliten la identificación y estudio de las obras. Actualmente se está utilizando el lenguaje alfanumérico “Plaine & Easie Code” para su codificación por la facilidad de almacenamiento y gestión por parte de los sistemas de información. Pero es necesario obtener una representación gráfica de los íncipits para una manejo más ágil por parte de los us

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Kannan, Sriram, Apoorva Pandey, Suchita Singh, et al. "The Liver Function Score – “ALBI” Sets Apart Melioidosis, Scrub Typhus from Viral Hepatitis, Tuberculosis, Enteric Fever in a III-II Grade Score: Useful in Machine Learning and AI." International Journal of TROPICAL DISEASE & Health 44, no. 15 (2023): 27–42. http://dx.doi.org/10.9734/ijtdh/2023/v44i151460.

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ALBI (Albumin-Bilirubin) score is routinely used in grading liver function of hepatocarcinoma and hepatitis patients. In this purposive review, the published values of serum albumin, bilirubin in Viral hepatitis, Tuberculosis, Scrub typhus, Enteric fever has been compared with that of melioidosis. Since PubMed yielded zero searches with key words “albumin, bilirubin, melioidosis”, it was searched in Google Scholar, a better retrievable search engine. This yielded 46 relevant articles with 53 ALBI scores for Melioidosis. An equivalent search to retrieve 53 ALBI scores was made in Google Scholar

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Cerulli, Giovanni. "Estimating Responsiveness Scores Using Rscore." Stata Journal: Promoting communications on statistics and Stata 17, no. 2 (2017): 422–41. http://dx.doi.org/10.1177/1536867x1701700210.

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rscore computes unit-specific responsiveness scores using an iterated random-coefficient regression approach. The model fit by rscore considers a regression of a response variable y, that is, outcome, on a series of factors (or regressors) x, that is, varlist, by assuming a different reaction (or “responsiveness”) of each unit to each factor contained in x. rscore allows for i) ranking units according to the obtained level of the responsiveness score; ii) detecting more influential factors in driving unit performance; and iii) studying the distribution (heterogeneity) of factors’ responsivenes

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Saratha, Sathasivam, Choo Song Poh, and Jie Yeap Jing. "Learning Bayesian Networks: The Combination of Scoring Function and Dataset." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 5 (2020): 149–54. https://doi.org/10.35940/ijeat.D7568.069520.

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Bayesian network (BN), a graphical model consists nodes and directed edges, which representing random variables and relationship of the corresponding random variables, respectively. The main study of Bayesian network is structural learning and parameter learning. There are score-and-search based, constraint based and hybrid based in forming the network structure. However, there are many types of scores and algorithms available in the structural learning of Bayesian network. Hence, the objective of this study is to determine the best combination of scores and algorithms for various types of dat

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Jung, Sylvain, Nicolas de l’Escalopier, Laurent Oudre, et al. "A Machine Learning Pipeline for Gait Analysis in a Semi Free-Living Environment." Sensors 23, no. 8 (2023): 4000. http://dx.doi.org/10.3390/s23084000.

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This paper presents a novel approach to creating a graphical summary of a subject’s activity during a protocol in a Semi Free-Living Environment. Thanks to this new visualization, human behavior, in particular locomotion, can now be condensed into an easy-to-read and user-friendly output. As time series collected while monitoring patients in Semi Free-Living Environments are often long and complex, our contribution relies on an innovative pipeline of signal processing methods and machine learning algorithms. Once learned, the graphical representation is able to sum up all activities present in

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Elgendi, Mohamed, Kirina van der Bijl, and Carlo Menon. "An Open-Source Graphical User Interface-Embedded Automated Electrocardiogram Quality Assessment: A Balanced Class Representation Approach." Diagnostics 13, no. 22 (2023): 3479. http://dx.doi.org/10.3390/diagnostics13223479.

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The rise in cardiovascular diseases necessitates accurate electrocardiogram (ECG) diagnostics, making high-quality ECG recordings essential. Our CNN-LSTM model, embedded in an open-access GUI and trained on balanced datasets collected in clinical settings, excels in automating ECG quality assessment. When tested across three datasets featuring varying ratios of acceptable to unacceptable ECG signals, it achieved an F1 score ranging from 95.87% to 98.40%. Training the model on real noise sources significantly enhances its applicability in real-life scenarios, compared to simulations. Integrated

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Zulkarnain, Zulkarnain, Linda Sekar Utami, Johri Sabaryati, Islahudin Islahudin, Subhan Subhan, and Dea Arisandi. "Design of virtual laboratory media based on HTML 5 Canvas and graphical user interface in physics learning." Journal of Instructional and Development Researches 4, no. 6 (2024): 477–85. https://doi.org/10.53621/jider.v4i6.405.

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Physics is an important part of the science curriculum at both the high school and college levels. Physics learning requires students to master abstract theoretical concepts, so it is not uncommon for these theoretical concepts to be difficult for learners to perceive. Abstract concepts in physics learning can be overcome through practical activities in concrete laboratories or virtual laboratories. This study aims to produce virtual laboratory media based on HTML 5 Canvas and Javascript programs packaged in Graphical User Interface (GUI) format in terms of experts, practicioners, and students

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Qutrio Baloch, Zulfiqar, Syed Ali Raza, Rahul Pathak, Luke Marone, and Abbas Ali. "Machine Learning Confirms Nonlinear Relationship between Severity of Peripheral Arterial Disease, Functional Limitation and Symptom Severity." Diagnostics 10, no. 8 (2020): 515. http://dx.doi.org/10.3390/diagnostics10080515.

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Background: Peripheral arterial disease (PAD) involves arterial blockages in the body, except those serving the heart and brain. We explore the relationship of functional limitation and PAD symptoms obtained from a quality-of-life questionnaire about the severity of the disease. We used a supervised artificial intelligence-based method of data analyses known as machine learning (ML) to demonstrate a nonlinear relationship between symptoms and functional limitation amongst patients with and without PAD. Objectives: This paper will demonstrate the use of machine learning to explore the relations

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Kirenkina, E. S., and I. G. Pavlenko. "Methodical approaches to the evaluation of the trading enterprise competitiveness." Voprosy regionalnoj ekonomiki 35, no. 3 (2018): 22–27. http://dx.doi.org/10.21499/2078-4023-2018--3-22-27.

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The article is devoted to the issues of ensuring the competitiveness of a trading enterprise through its quantitative assessment. Analytic and graphical methods of evaluation are conventionally identified. The methodical approaches to the evaluation of the competitiveness of the trading enterprise, including the Rosenberg Model, the assessment of the quality level of production, matrix methods, the evaluation of comparative advantages, the multifactor score, the model of competitiveness are described, their strengths and weaknesses are identified.

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Yao, Lantian, Wenshuo Li, Yuntian Zhang, et al. "Accelerating the Discovery of Anticancer Peptides through Deep Forest Architecture with Deep Graphical Representation." International Journal of Molecular Sciences 24, no. 5 (2023): 4328. http://dx.doi.org/10.3390/ijms24054328.

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Cancer is one of the leading diseases threatening human life and health worldwide. Peptide-based therapies have attracted much attention in recent years. Therefore, the precise prediction of anticancer peptides (ACPs) is crucial for discovering and designing novel cancer treatments. In this study, we proposed a novel machine learning framework (GRDF) that incorporates deep graphical representation and deep forest architecture for identifying ACPs. Specifically, GRDF extracts graphical features based on the physicochemical properties of peptides and integrates their evolutionary information alo

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Lee, Thomas R., Wesley S. Burr, Ivan F. Beutler, Floyd Yorgason, H. Brent Harker, and Joseph A. Olsen. "The Family Profile II: A Self-Scored, Brief Family Assessment Tool." Psychological Reports 81, no. 2 (1997): 467–77. http://dx.doi.org/10.2466/pr0.1997.81.2.467.

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The Family Profile is a self-administered and easily interpreted measure of family functioning. Family members score and plot their results to create a graphical profile of their family's relationship strengths. The ability to graph their responses gives families immediate feedback and an intuitive grasp of their relationship strengths and opportunities for improving family relationships. Successfully used for 7 years in the USA and Canada, the Family Profile has now been revised. Using a national sample of over 1,800 college students, the measure was revised to include 12 scales measuring dim

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