Ensemble Learning-Based Wine Quality Prediction Using Optimized Feature Selection and XGBoost by Sonam Tyagi, Ishwari Singh Rajput, Bhawnesh Kumar, Harendra Singh Negi

“…High-dimensional data from several sources may impede processing and classification model performance. …”
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COMPUTER MODEL OF VIRTUAL SOCIAL NETWORK WITH RECOMMENDATION SYSTEM by Yelyzaveta Meleshko

“…The developed model allows to model a network with users and text posts and may contain following connections  "friends", "follower", "published", "viewed", "like", "similar", "recommended", and also allows  testing of algorithms of recommender systems  and conduct research to changes in a social network after creating and proposing recommendations. …”
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Optimal Design of a Sensor Network for Guided Wave-Based Structural Health Monitoring Using Acoustically Coupled Optical Fibers by Rohan Soman, Jee Myung Kim, Alex Boyer, Kara Peters

“…The non-sorting genetic algorithm (NSGA-II) is implemented for finding the optimal solution for both problems. …”
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Inflammatory imbalance and activation deficits in T cells of myasthenia gravis patients revealed by proteomic profiling by Amol K. Bhandage, Anna Rostedt Punga

“…Data analysis was performed using the Boruta algorithm to detect both linear and non-linear patterns, followed by multiple testing corrections, and correlation analyses. …”
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Fire spread simulations using Cell2Fire on synthetic and real landscapes by Minho Kim, Cristobal Pais, Marta C. Gonzalez

“…First, we adopted a multi-objective optimization algorithm that scales the elliptical shape of the Cell2Fire’s output based on rate of spread (ROS) and eccentricity. …”
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An integrated Artificial neural network technique to optimize the various parameters of Pineapple/SiO2/epoxy-based nanocomposites under NaOH treatment by Natrayan Lakshmaiya, Naga Dheeraj Kumar Reddy Chukka, Seeniappan Kaliappan, V. Balaji, Nimel Sworna Ross, Ramya Maranan

“…This approach will assist designers in predicting system failures concerning the operating duration and may be utilised in numerous industrial industries to analyse toughness attributes.…”
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Mechanisms of three typical endocrine-disrupting chemicals causing myocardial infarction: Gene-level computational modeling by Jing-Xuan Zhou, Shan-Shan Chen, Zi-Yi Zheng, Wang-Bo Yuan, Xiong-Bo Liu, Hong-Gang Ni

“…EDCs may enhance the inflammatory response of MI by promoting the infiltration of pro-inflammatory immune cells and inhibiting the function of anti-inflammatory cells. …”
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Evaluating a digital prehabilitation tool in patients with colorectal surgery: protocol for a multisite randomised controlled trial by George J Chang, Emily Finlayson, Cindy Kin, Kelsey Ogomori, Jeanette Broering, Camille Rogine

“…Information will be given in both oral and written form, and subjects may withdraw at any time from the study without effect on their medical care. …”
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Consistency and reliability of ultrasound-derived fat fraction in hepatic steatosis assessment: influence of posture and breathing variations by Tingjing You, Shengmin Zhang, Shuai Cheng, Zhenyu Shen

“…In addition, the supine breath-hold state may be a more appropriate measurement condition.…”
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Methodology of Conducting a Facilitated Discussion at the Sites of Cultural Institutions by Olga A. Staina, Polina V. Malyshenko

“…Malyshkenko within the framework of the All-Russian cultural project "Night of Museums". The algorithm for conducting the discussion is also presented in the article. …”
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Predicting the time to get back to work using statistical models and machine learning approaches by George Bouliotis, M. Underwood, R. Froud

“…Further tuning of the machine learning algorithms may provide improved results.…”
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From Biopsy to Diagnosis: Navigating Aggressive B-Cell Lymphomas in Practice by Georgian Halcu, Anca Evsei-Seceleanu, Mihai Cerbu, Marina Alina Bara, Andrei Turbatu, Mihail Constantin Ceausu

“…Diffuse large B-cell lymphoma (DLBCL), recognized as the most prevalent variant of adult non-Hodgkin lymphoma, presents considerable challenges in diagnosis owing to its diverse morphological features and frequent extranodal involvement, which may frequently mimic nonhematopoietic neoplasms. …”
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Exploration of the shared pathways and common biomarkers in cervical and ovarian cancer using integrated bioinformatics analysis by Fang Liu, Min Wang, Tian Zhu, Cong Xu, Guangming Wang

“…Finally, the CIBERSORT algorithm was used to estimate the immune infiltration levels of CC and OC, and the correlation between immune cell infiltration and common biomarkers was explored. …”
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Enhancing Process Control in Agriculture: Leveraging Machine Learning for Soil Fertility Assessment by Ashutosh Sarangi, Sailesh Kumar Raula, Sohamdev Ghoshal, Swadhin Kumar, Chinta Sai Kumar, Neelamadhab Padhy

“…The output and accuracy of the model may suffer if the data are not supplied discretely. …”
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Comparing prediction accuracy for 30-day readmission following primary total knee arthroplasty: the ACS-NSQIP risk calculator versus a novel artificial neural network model by Anirudh Buddhiraju, Michelle Riyo Shimizu, Tony Lin-Wei Chen, Henry Hojoon Seo, Blake M. Bacevich, Pengwei Xiao, Young-Min Kwon

“…This study aims to compare the predictive accuracy of the SRC with a novel artificial neural network (ANN) algorithm for 30-day readmission after primary TKA, using the same set of clinical variables from a large national database. …”
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INFLAMMATION's cognitive impact revealed by a novel "Line of Identity" approach. by Donald R Royall, Raymond F Palmer

“…Few individuals are demented by any single biomarker, while several may independently explain small fractions of dementia severity. …”
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The Prognostic Significance of TMSB4X in Glioma Patients by Li S, Fan T, Hao Z, Zhang Z, Han X, Li J, Wang Y, Zhou H, Xue X

“…In GOKEGG and GSEA analyses, the analyses indicate that TMSB4X may play a crucial role in glioma patients by up-regulating I-kappaB kinase/NF-kappaB signaling. …”
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Multi‐sequence MRI‐based clinical‐radiomics models for the preoperative prediction of microsatellite instability‐high status in endometrial cancer by Zhuang Li, Yi Su, Yongbin Cui, Yong Yin, Zhenjiang Li

“…The intraclass correlation coefficients, Spearman correlation analysis, Mann–Whitney U test, and least absolute shrinkage and selection operator (LASSO) algorithm were employed for feature selection in radiomics models' development. …”
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Evaluation of the impact of COVID-19 on hepatitis B in Henan Province and its epidemic trend based on Bayesian structured time series model by Xinxiao Li, Yanyan Li, Shushuo Xu, Penghao Wang, Meng Hu, Haibin Li, Yongbin Wang

“…Abstract Background There may be evidence that COVID-19 affects illness patterns. …”
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Closing the diagnostic gap in male genital schistosomiasis (MGS): current detection tools and novel strategies by Bronwyn Neufeld, Sergio España-Cueto, Lisette van Lieshout, Bonnie L. Webster, Pytsje T. Hoekstra, Sekeleghe Kayuni, J. Russell Stothard, Tegwen Marlais, Shinjiro Hamano, Amaya L. Bustinduy

“…The introduction of molecular diagnostics, such as polymerase chain reaction (PCR), has partly helped overcome this challenge of low sensitivity, though may not be suitable for use in resource-constrained settings. …”
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