Immunohistochemical Subtype and Parameters of International Prognostic Index in the New Prognostic Model of Diffuse Large B-Cell Lymphoma by SV Samarina, AS Luchinin, NV Minaeva, IV Paramonov, DA D’yakonov, EV Vaneeva, VA Rosin, VA Rosin

“…Survival curves were compared by means of log rank test and hazard ratio (HR). Any test was considered significant if two-sided level of p < 0.05 was reached. …”
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WINTER HARDINESS OF BREAD WHEAT FROM THE VIR COLLECTION IN ENVIRONMENTS OF THE NORTHWESTERN AND CENTRAL BLACK SOIL REGIONS OF RUSSIA by N. S. Lysenko, V. F. Loseva, O. P. Mitrofanova

“…By using the cluster analysis (k-means algorithm), the target sub-collec­tion structure has been revealed. …”
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Using A Neural Network to Generate Images When Teaching Students to Develop an Alternative Text by Yekaterina A. Kosova, Kirill I. Redkokosh, Pavel O. Mikheyev

“…Text alternatives generated by means of automated tools are known to be lower in quality to human-generated descriptions. …”
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Generación de Patrones de Evaluación Probabilista del Mantenimiento. // Generation of Probabilistic Evaluation Patterns for Maintenance. by A. Torres Valle, J. de J. Rivero Oliva, K. Martínez Sánchez

“…<br />This article presents a methodology for preparing, solving and using the results of fault trees deriving from<br />technological diagrams. This algorithm has been automated by means of MOSEG Win Ver.1.0 code.…”
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EEG Microstate Dynamics during Different Physiological Developmental Stages and the Effects of Medication in Schizophrenia by Shihai Ling, Lingyan Du, Xi Tan, Guozhi Tang, Yue Che, Shirui Song

“…After pre-processing, EEG data from different groups were subjected to microstate analysis, and the K-Means clustering algorithm was applied to classify the data into 4 microstates. …”
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Association of emergency department nurse and physician work environment agreement on clinician job and patient outcomes by K. Jane Muir, Anish K. Agarwal, Daniela Golinelli, Karen B. Lasater, James Ballinghoff, Colleen Mattioni, Matthew D. McHugh, Linda H. Aiken, United States Clinician Wellbeing Study Consortium

“…Methods This cross-sectional study used data from 1,604 ED nurses (n = 1,190) and physicians (n = 414) who completed the 2021 US Clinician Wellbeing Study in 47 Magnet hospitals. A K-means algorithm classified hospitals into ‘profiles’ based on nurse and physician agreement on work environment assessments. …”
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Factores clave en la práctica de la Ciencia Abierta. Un análisis multivariado en el contexto universitario = Key Factors in Open Science Practice: A Multivariate Analysis within th... by Sebastián Araya-Pizarro, Héctor García-Leal

“…Data were analyzed using descriptive statistical techniques, association tests, and multivariate analysis (binary logistic regression and K-means algorithm). Results revealed that the willingness to engage in open science is strongly influenced by knowledge, interest, and educational level, and moderately by the participant’s role. …”
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Modeling the cooling effect of urban green infrastructures with an ecosystem services approach ( case study: Tehran metropolis) by S. Malekzadeh, H.R. Jafari, R. Nazari, T. Blaschke, A. Hof, M. Karimi

“…A supervised classification via the Super Vector Machine algorithm identified four land use categories: built-up areas, barren lands, green spaces, and water bodies. …”
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Investigation and application of data balancing and combined discriminant model in rock burst severity prediction by Shaohong Yan, Runze Liu, Yanbo Zhang, Xulong Yao, Yueqi Yang, Qi Wang, Bin Guo, Shuai Wang

“…Subsequently, from a data analysis perspective, we employed the PCA-SSA-K-means unsupervised clustering algorithm to delve into the underlying information contained within the data, thereby validating the rationality of categorizing rock bursts into four grades. …”
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Persistence in the socio-economic development of the regions of the Siberian Federal District by Misak S. Arzumanyan

“…The concept of «local average» is introduced as the most important component of the algorithm for calculating the persistence effect. In the writings of management economists, the term «persistence» has not been mentioned before; there are no sources characterizing the degree of study of this phenomenon in relation to ensuring sustainable socio-economic development of territories. …”
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T2 <italic>Candida</italic> Panel: A Game Changer in Diagnosis of Fungal Infections by Devesh N Joshi, Bhaskar Shenoy

“…T2 <italic>Candida</italic> panel is a novel qualitative diagnostic platform that was recently approved by the US Food and Drug Administration (FDA) for diagnosis of candidemia with a mean time to species identification of <5 hours. …”
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Comparative performance of YOLOv8, YOLOv9, YOLOv10, YOLOv11 and Faster R-CNN models for detection of multiple weed species by Akhilesh Sharma, Vipan Kumar, Louis Longchamps

“…These results suggest that the YOLO series algorithms have the potential for real-time deployment for weed species detection more accurately and faster than Faster R-CNN in agricultural fields.…”
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Integrating Metabolomics and Machine Learning to Analyze Chemical Markers and Ecological Regulatory Mechanisms of Geographical Differentiation in <i>Thesium chinense</i> Turcz by Cong Wang, Ke Che, Guanglei Zhang, Hao Yu, Junsong Wang

“…Random forest and LASSO regression algorithms determined core markers for each production area: Anhui (4 markers), Henan (6 markers), and Shanxi (3 markers). …”
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Measuring and modeling waterlogging tolerance to predict the future for threatened lowland ash forests by E. J. Gustafson, D. R. Bronson, M. A. Windmuller-Campione, R. A. Slesak, D. M. Donner

“…Simulating lowland forest dynamics in landscape models has been problematic because lowland hydrology is extremely complex, making most hydrology algorithms intractable at the landscape scale. A succession extension (PnET-Succession) of the LANDIS-II forest landscape model was recently updated to include simple algorithms to approximate lowland hydrology, but estimating parameters of tree species' waterlogging tolerance is difficult. …”
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Exploring Ototoxicity Associated with Capmatinib: Insights from a Real-World Data Analysis of the FDA Adverse Event Reporting System (FAERS) Database by Lin Y, Xu S, Deng M, Cao Y, Ding J, Lin T

“…The aim of this study was to explore the significant adverse drug reactions (ADRs) associated with Capmatinib through the FDA Adverse Event Reporting System (FAERS) database.Methods: We employed the reported odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and the Empirical Bayes Geometric Mean (EBGM) as primary algorithms for the disproportionality analysis. …”
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Influence of image reconstruction protocols on the image quality of a small animal PET scanner using 18F and 11C by João Vitor do Carmo Barbosa, Rodrigo Modesto Gadelha Gontijo, Guilherme Cavalcante de Albuquerque Souza, Bruno Melo Mendes, Juliana Batista da Silva, Marcelo Mamede, Andréa Vidal Ferreira

“…The reconstruction variables evaluated were the algorithms (FBP, MLEM-3D, OSEM-3D), the resolution mode (high/standard) and the number of iterations (10 to 150). …”
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Prognostic model for log odds of negative lymph node in locally advanced rectal cancer via interpretable machine learning by Ye Wang, Zhen Pan, Huajun Cai, Shoufeng Li, Ying Huang, Jinfu Zhuang, Xing Liu, Guoxian Guan

“…Nine machine learning algorithms were used to create predictive models based on these factors. …”
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Development and Validation of a Questionnaire for the Assessment of Diabetic Peripheral Neuropathy: Implications for Clinical Practice in Physical Therapy and Patient Management by Constantin CIUCUREL, Mariana TUDOR, Elena Ioana ICONARU

“…It was piloted with 56 DPN patients (mean age 72.45 ± 5.72 years) to assess internal consistency. …”
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Peningkatan Keamanan Basis Data menggunakan Kombinasi Algoritma RC4 dan SHA3-512 by Asep Rizal Nurjaman, Sofia Umaroh

“…Keywords: SHA3-512, Encryption, Decryption, Hashing, RC4, Algorithm…”
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AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks by HU Weibo, ZHOU Shaoliang, ZHAO Erfeng, ZHAO Xueqiang

“…Furthermore, the integration of crack detection results with coordinate transformation algorithms enabled the precise geospatial localization of cracks. …”
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