Clinical characteristics of EGFR-ctDNA shedders in EGFR-mutant NSCLC patients by Martina Ruglioni, Iacopo Petrini, Stefania Crucitta, Andrea Sbrana, Giovanna Irene Luculli, Leila Sadeghi Gol, Carola Forte, Antonio Chella, Christian Rolfo, Romano Danesi, Marzia Del Re

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The role of academic achievement in mathematically predicting licensure examination for teachers outcomes: Insights from secondary education graduates by Rodillo Makiling, Christian G. Abalos, Ma. Leah I. Abad, Jomar C. Cabuquin

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Thermodynamic predicting of Si-Me (Me = Ti, Al) binary systems by Kostov A., Živković D., Friedrich B.

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Corrosion�s impact on wire rope strand response � Comparison with a theoretical predictive model by Amal Tijani, Meryam Meknassi, Hassan Chaffoui, Mohamed Elghorba

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Model for predicting metabolic activity in athletes based on biochemical blood test analysis by Victoria A. Zaborova, Evgenii I. Balakin, Ksenia A. Yurku, Olga E. Aprishko, Vasiliy I. Pustovoyt

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PROFESSIONAL SOCIALIZATION AS A CONDITION OF FORMATION GRADUATES’ COMPETITIVENESS by I. Yu. Stepanova, V. A. Adolf

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Application of Principal Component Analysis as a Prediction Model for Feline Sporotrichosis by Franco Bresolin Pegoraro, Rita Maria Venâncio Mangrich-Rocha, Saulo Henrique Weber, Marconi Rodrigues de Farias, Elizabeth Moreira dos Santos Schmidt

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Sequential or simultaneous-integrated boost in early-stage breast cancer patients: trade-offs between skin toxicity and risk of compromised coverage by Changyou Zhong, Minfeng Huang, Haidong Yu, Jun Yuan, Ruilian Xie, Zhenzhen Lai, Shanzhou Niu, Chunbo Tang

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Dynamic Classifier Auditing by Unsupervised Anomaly Detection Methods: An Application in Packaging Industry Predictive Maintenance by Fernando Mateo, Joan Vila-Francés, Emilio Soria-Olivas, Marcelino Martínez-Sober, Juan Gómez-Sanchis, Antonio José Serrano-López

Subjects: “…predictive maintenance…”
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Enhancing antimicrobial resistance strategies: Leveraging artificial intelligence for improved outcomes by Aeshah M. Mohammed, Mohammed Mohammed, Jawad K. Oleiwi, Azlin F. Osman, Tijjani Adam, Bashir O. Betar, Subash C.B. Gopinath, Falah H. Ihmedee

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Interaction model estimation-based robotic force-position coordinated optimization for rigid–soft heterogeneous contact tasks by Haochen Zheng, Xueqian Zhai, Hongmin Wu, Jia Pan, Zhihao Xu, Xuefeng Zhou

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Quantifying 3D coral reef structural complexity from 2D drone imagery using artificial intelligence by Aviv Suan, Simone Franceschini, Joushua Madin, Elizabeth Madin

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DRG2 as a Biomarker to Enhance the Predictive Efficacy of PD-L1 Immunohistochemistry Assays by Muralidharan Mani, Seong Hee Choi, Hyuk Nam Kwon, Jeong Woo Park

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A nomogram for predicting bladder dysfunction in patients with type 2 diabetes mellitus: a retrospective study by Yingjie Hu, Fengming Hao, Ying Wang, Ling Chen, Lihua Wen, Jue Li, Wei Ren, Wenzhi Cai

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Critical length parameter of HDPE and its use in fatigue lifetime predictions by Kamila Kozáková, Lukáš Trávníček, Jan Poduška, Jan Klusák

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Construction and Validation of a Major Depression Risk Predictive Model for Patients with Coronary Heart Disease: Insights from NHANES 2005–2018 by Li-xiang Zhang, Shan-bing Hou, Fang-fang Zhao, Ting-ting Wang, Ying Jiang, Xiao-juan Zhou, Jiao-yu Cao

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IoT-based prediction model for aquaponic fish pond water quality using multiscale feature fusion with convolutional autoencoder and GRU networks by Suma Christal Mary Sundararajan, Yamini Bhavani Shankar, Sinthia Panneer Selvam, Nalini Manogaran, Koteeswaran Seerangan, Deepa Natesan, Shitharth Selvarajan

Subjects: “…Water quality prediction…”
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Analysis of the sexual dimorphism of metric variables of the cranial base: Archaeo-anthropological and forensic implications by Alexandra Boucherie

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Nomograms based on ratio indexes to predict severity and prognosis in immune checkpoint inhibitors-related myocarditis: a retrospective analysis by Zhenli Li, Tiezhu Yao, Guang Liu, Zhengkun Guan, Jing Liu, Ling Guo, Jingtao Ma

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Geogenic perspectives on potassium dynamics and plant uptake: insights from natural and submerged conditions across different soil types with machine learning predictions by Saibal Ghosh, Gourav Mondal, Shreya Chakraborty, Sonali Banerjee, Sumit Kumar, Riddhi Basu, Pradip Bhattacharyya

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