Shells and Spheres: An n-Dimensional Framework for Medial-Based Image Segmentation by Aaron Cois, John Galeotti, Robert Tamburo, Michael Sacks, George Stetten

“…We have developed a method for extracting anatomical shape models from n-dimensional images using an image analysis framework we call Shells and Spheres. This framework utilizes a set of spherical operators centered at each image pixel, grown to reach, but not cross, the nearest object boundary by incorporating “shells” of pixel intensity values while analyzing intensity mean, variance, and first-order moment. …”
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Readability Formula for Instructional Materials in Science by Jonathan Bayogan

“…Comparative analysis of the three formulas' proportion of explained variance, residuals, scatterplots and outliners led to the selection of the best model. …”
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An approximate likelihood method reveals ancient gene flow between human, chimpanzee and gorilla by Galtier, Nicolas

“…This is most often pursued via the so-called ABBA-BABA type of method, which relies on a prediction of symmetry of gene tree discordance made by the incomplete lineage sorting hypothesis. …”
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Optimization of Wear Process Parameters of Al6061-Zircon Composites Using Taguchi Method by R. Vijayakumar, J. S. Srikantamurthy, Shanawaz Patil, S. Rudresha, A. Manjunatha, T. Hemanth Raju, A. Haiter Lenin

“…During the wear process, an investigation was conducted to determine the impact of applied load, speed, percentage of reinforcement, and sliding distance on the wear response parameter. An analysis of variance (ANOVA) table and a regression equation were established to facilitate this study. …”
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Human Capital Development and Public Health Expenditure: Assessing the Long-Term Sustainability of Economic Development Models by Ngesisa Magida, Thobeka Ncanywa, Kin Sibanda, Abiola John Asaleye

“…The study calls for policies combining health spending with economic strategies to boost productivity, reduce inequality, and promote inclusive growth. …”
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Influence of α-MnO2 and Curing Temperature on Density and Microhardness of Epoxy Nanocomposites by Md Zakir Hussain, Pranjal Sarmah, Surendra Kumar Yadav, Virendra Kumar, Ashu Yadav, Ashish Goyal, Ankit D. Oza, Chander Prakash, Virat Khanna

“…The probability plot of the microhardness data at the 95% confidence level showed that the sample’s hardness statistics were unaffected by load and the position of the indentation mark. Analysis of variance results indicated that the wt.% loading of α-MnO2 had a significant effect on the density and microhardness of the nanocomposite, with contributions of 77.7% and 74.75%, respectively, and the effect of curing temperature was small compared to the loading of α-MnO2. …”
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Influence of Messa di Voce speed on vocal stability of untrained, healthy subjects. by Jonas Kirsch, Marie Köberlein, Michael Döllinger, Matthias Echternach

“…The tasks' duration and calculated parameters (including, e.g., Open Quotient (OQ), Closing Quotient (ClQ), Relative Average Perturbation (RAP)), excluding parts of the signal with stationary sound pressure level (SPL), were analyzed with correlation analysis and statistical analysis (Analysis of Variance and subsequent multiple comparisons).…”
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Effect of Using Quinoa Flour (Chenopodium quinoa Willd.) on the Physicochemical Characteristics of an Extruded Pasta by Olga L. Torres, Mariana Lema, Yessica V. Galeano

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Domain Alignment Dynamic Spectral and Spatial Feature Fusion for Hyperspectral Change Detection by Xuexiang Qin, Yuxiang Zhang, Yanni Dong

“…Change detection is an important task in geospatial analysis that aims to identify noticeable variations in geographic elements between images captured at different periods. …”
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Enhancing credit card fraud detection: highly imbalanced data case by Dalia Breskuvienė, Gintautas Dzemyda

“…These attributes are sorted based on variance in descending order. By keeping the required number of attributes that hold the highest percentage of variability, we select features corresponding to those attributes for further analysis. …”
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OperonSEQer: A set of machine-learning algorithms with threshold voting for detection of operon pairs using short-read RNA-sequencing data. by Raga Krishnakumar, Anne M Ruffing

“…We present OperonSEQer, a set of machine learning algorithms that uses the statistic and p-value from a non-parametric analysis of variance test (Kruskal-Wallis) to determine the likelihood that two adjacent genes are expressed from the same RNA molecule. …”
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Pain Severity Ratings Among Patients with Comorbid Chronic Pain and PTSD: A Retrospective Cohort Study by Lily Charron, Eduardo Espiridion

“…The summary data was compared using a one-way analysis of variance with the Welch statistic. Results: The average reported pain severity was significantly different between all three groups (F(2, 21288)=279.80, p < .001). …”
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Heart Rate Variability during Nostril-Regulated Yoga Breathing: A Randomized Crossover Study by Shirley Telles, Alok Singh, Sachin Kumar Sharma, Acharya Balkrishna

“…Results: There was a significant increase in low frequency (LF) power and SD of NN intervals during SBP and CBP in comparison to the respective preceding (P < 0.05; repeated measures analyses of variance with Bonferroni adjusted post hoc analysis), while LF increased post-CBP alone. …”
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The INTIMA: development and validation of a new psychometric tool for the evaluation of perceived ‘Viagra Jealousy’ in erectile dysfunction therapy by Daniele Mollaioli, Andrea Sansone, Tommaso B. Jannini, Bac Hoai Nguyen, Thang Cao Nguyen, Quan Minh Pham, Giacomo Ciocca, Emmanuele A. Jannini

“…Convergent validity was supported by significant correlation with FIS and adequate Average Variance Extracted. ROC analysis revealed high discriminatory power for detecting insecure attachment patterns, with an optimal cut-off score of 17.Conclusion INTIMA is a reliable psychometric tool for assessing perceived VJ and predicting the risks of involving or not the partner in ED treatment and to identify optimal strategies for better adherence and outcomes.…”
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Exploring the use of generative artificial intelligence by university students: a systematic literature review by Anna E. Korchak, Yevgeny D. Patarakin, Jamie Costley

“…The data was approached qualitatively: apriori and aposteriori codes were applied to the papers retrieved from Google Scholar. For a deeper analysis of the selected papers, we conducted a thematic analysis to identify recurring themes and patterns. …”
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Effectiveness of purple led for inactivation of Bacillus subtilis and Escherichia coli bacteria in in vitro sterilizers by A. K. Yaqubi, S. D. Astuti, P.A.D. Permatasari, N. Komariyah, E. Endarko, A. H. Zaidan

“…Statistical tests were utilized in data analysis, namely the One Way Anova test (analysis of variance). …”
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Effect of the PakCat program on nutrition status, dietary pattern and nutrition knowledge and skills of Pakistani women living in Catalonia evaluated by a mixed-method randomized c... by Saba Mohamed-Bibi, Blanca Ribot-Serra, Cristina Vaqué-Crusellas

“…<h4>Results</h4>The quantitative analysis conducted through a two-factor analysis of variance (ANOVA) for repeated measures indicated a significant improvement in the study variables across the entire sample (p < 0.001 within group), with the intervention group experiencing greater improvements in nutrition knowledge and skills and dietary pattern (p <0.001 for interaction and between groups). …”
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Identifying and surveying on Enterprise Architecture Issues and challenges in Iranian selected enterprises: Mixed method by Samira Parsa, Nastaran Hajiheydari, ebrahim abasi

“…After Q-sorting, the information was analyzed using factor analysis. Distribution analysis showed that 6 distinct subjective perspectives about the issues on Enterprise Architecture can be identified among participants which explained (70.770) percent of total variance. …”
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Efficiency optimization of a hybrid Savonius-Darrieus hydrokinetic turbine via regression modeling and CFD-based design of experiments by Mateo Arrieta-Gomez, Sebastián Vélez-García, Diego Hincapié Zuluaga, Juan C. Tejada, Daniel Sanin-Villa

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Implementing Mobile Portfolio Application in EFL Classes: Efficiency for Fostering Reflective Thinking, Directed Motivational Currents (DMCs), and Cognitive Learning by Fatemeh Gandomkar, Afsaneh Ghanizadeh, Safoura Jahedizade, Kiana Hosseinion

“…The results of independent samples t-test and multivariate analysis of variance (MANOVA) demonstrated the effectiveness of using the mobile portfolio application on learners’ three components of reflective thinking, DMCs, and cognitive learning. …”
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