Analysis of the molecular nature associated with microsatellite status in colon cancer identifies clinical implications for immunotherapy by Wei Wu, Qihan Fu, Lulu Liu, Yi Zheng, Hangyu Zhang, Peng Zhao, Weijia Fang, Xuanwen Bao, Shaobing Cheng, Xiaomeng Dai, Xudong Zhu, Zhou Tong, Fanglong Liu

“…A more homogeneous highly expressed pattern of PD1 was observed in CD8+ T cells from MSI colon cancer; however, a small subgroup of CD8+ T cells with high expression of checkpoint molecules was identified in MSS patients. A random forest algorithm predicted important mutations that were associated with MSI status in the TCGA colon cancer cohort, and our in-house cohort validated higher frequencies of BRAF, ARID1A, RNF43, and KM2B mutations in MSI colon cancer. …”
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Intrusion Detection System Based on Decision Tree and Clustered Continuous Inputs by Adel Issa

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The repertory grids method in the investigation of cognitive differentiation in the sphereof communication by T. G. Siroshtanenko

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Research advancements in the Use of artificial intelligence for prenatal diagnosis of neural tube defects by Maryam Yeganegi, Mahsa Danaei, Sepideh Azizi, Fatemeh Jayervand, Reza Bahrami, Seyed Alireza Dastgheib, Heewa Rashnavadi, Ali Masoudi, Amirmasoud Shiri, Kazem Aghili, Mahood Noorishadkam, Hossein Neamatzadeh

“…This review explores AI and machine learning (ML) in the early detection, prediction, and assessment of neural tube defects (NTDs) through prenatal ultrasound imaging. …”
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Research of the state of the stress-realizing systems in pregnant women with miscarriage by V. A. Plotnik

“…The aim of the work was to investigate some stress-realizing systems by adopting an integrated approach in women with threatened abortion for further development of the algorithm of the evaluation and prediction of risk of the miscarriage, which will contribute to the reduction of perinatal losses and improve the reproductive health of women. …”
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Multicomponent MR Image Denoising by José V. Manjón, Neil A. Thacker, Juan J. Lull, Gracian Garcia-Martí, Luís Martí-Bonmatí, Montserrat Robles

“…In this paper we propose a new filter to reduce random noise in multicomponent MR images by spatially averaging similar pixels using information from all available image components to perform the denoising process. The proposed algorithm also uses a local Principal Component Analysis decomposition as a postprocessing step to remove more noise by using information not only in the spatial domain but also in the intercomponent domain dealing in a higher noise reduction without significantly affecting the original image resolution. …”
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CONTRIBUTION OF T.D. ZYRYANOVA TO THE STUDY OF THE PROBLEM OF PELVIC BONES INJURIES AND ASSOCIATED COMPLICATIONS by Z. V. Koshkareva, V. A. Sorokovikov, M. A. Makarova

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Estimating the Risk of Lower Extremity Complications in Adults Newly Diagnosed With Diabetic Polyneuropathy: Retrospective Cohort Study by Alyce S Adams, Catherine Lee, Gabriel Escobar, Elizabeth A Bayliss, Brian Callaghan, Michael Horberg, Julie A Schmittdiel, Connie Trinacty, Lisa K Gilliam, Eileen Kim, Nima S Hejazi, Lin Ma, Romain Neugebauer

“…ObjectiveThis study aimed to develop an electronic medical record–based machine learning algorithm that would predict lower extremity complications. …”
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Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements by Evgenii Kanin, Alsu Garipova, Sergei Boronin, Vladimir Vanovskiy, Albert Vainshtein, Andrey Afanasyev, Andrei Osiptsov, Evgeny Burnaev

“…We also provide recommendations for further development of the proposed algorithm to account for geological realism.…”
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Identification and validation of endoplasmic reticulum autophagy-related potential biomarkers in periodontitis by Ruyue Wang, Jinyue Hu, Qing Sun, Shuixiang Guo, Gege Zhang, Ao Lu, Shuo Liu, Xue Yang, Lina Wang

“…The CIBERSORT deconvolution algorithm was used to study the link between potential biomarkers and distinct types of immune cells. …”
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Physics-informed modeling of splitting tensile strength of recycled aggregate concrete using advanced machine learning by Kennedy C. Onyelowe, Viroon Kamchoom, Shadi Hanandeh, S. Anandha Kumar, Rolando Fabián Zabala Vizuete, Rodney Orlando Santillán Murillo, Susana Monserrat Zurita Polo, Rolando Marcel Torres Castillo, Ahmed M. Ebid, Paul Awoyera, Krishna Prakash Arunachalam

“…By harnessing the synergies between physics-based principles and data-driven algorithms, PIM-ML not only streamlines the design process but also enhances the reliability and sustainability of concrete structures. …”
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Evaluation of the Effectiveness of Increasing the Digital Literacy of Personnel in the Context of Digital Transformation by V. S. Knyazkova

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Methods for Determining the Size of three-Dimensional Objects in Images by L. V. Serebryanaya, V. N. Breshko

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Methods for Determining the Size of three-Dimensional Objects in Images by L. V. Serebryanaya, V. N. Breshko

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The application of deep learning-based technique detection model in table tennis teaching and learning by Shunshui He

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Study of the Extended Phase Shift Migration for Three-Dimensional MIMO-SAR Imaging in Terahertz Band by Hang Gao, Chao Li, Shiyou Wu, Hebin Geng, Shen Zheng, Xiaodong Qu, Guangyou Fang

“…Finally, the ‘explode fields’ at time t = 0 can be successfully derived to realize fast imaging reconstruction for MIMO-SAR, with great reduction on the time consuming as compared with the BP algorithm and better accuracy compared with the Stolt migration. …”
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Using Artificial intelligence to evaluate skill performance of some karate skills by Hayder Nazar Jawoosh, Dr.Abeer Dakhil, dr. Muhammed Asim Muhammed, dr. Mazin Hadi Gizar

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GOES‐R PM2.5 Evaluation and Bias Correction: A Deep Learning Approach by Alqamah Sayeed, Pawan Gupta, Barron Henderson, Shobha Kondragunta, Hai Zhang, Yang Liu

“…Then a DNN based bias correction algorithm is used to improve the accuracies of GOES‐GWR PM2.5. …”
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Reliability and validity of the Transthyretin Amyloidosis – Quality of Life (ATTR-QOL) Questionnaire impact scales by Andrew Lovley, Kristen Hsu, Kaitlin LaGasse, Isabelle Lousada, Kristen L. McCausland, Michelle K. Carty, Sabrina Rebello, Jakob B. Bjorner

“…This study resulted in updates to the ATTR-QOL for item reduction and the development of a scoring algorithm. …”
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Classification Of Direction Using Naive Bayes Classifier Method (Case Study Of Hidayatul Islam Leces Vocational School) by Dwi Yanto, Heri Susanto, Ninanesia Rusdiana, Kiky Zulkifli

“…Abstract— Determining student majors is an important process in the world of education that can affect students' future. In this thesis, we conducted a study on determining student majors using the Naive Bayes Classifier algorithm at SMK Hidayatul Islam. …”
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