Exploring ribosome biogenesis in lung adenocarcinoma to advance prognostic methods and immunotherapy strategies by Zipei Song, Yuheng Wang, Miaolin Zhu, Pengpeng Zhang, Zhihua Li, Xin Geng, Xincen Cao, Jianan Zheng, Jianwei Tang, Liang Chen

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Artificial intelligence-enabled non-invasive ubiquitous anemia screening: The HEMO-AI pilot study on pediatric population by Daniel Gordon, Jason Hoffman, Keren Gamrasni, Yotam Barlev, Alex Levine, Tamar Landau, Ronen Shpiegel, Avishai Lahad, Ariel Koren, Carina Levin, Osnat Naor, Hannah Lee, Xin Liu, Shwetak Patel, Gilad Chayen, Michael Brandwein

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PhyloFunc: phylogeny-informed functional distance as a new ecological metric for metaproteomic data analysis by Luman Wang, Caitlin M. A. Simopoulos, Joeselle M. Serrana, Zhibin Ning, Yutong Li, Boyan Sun, Jinhui Yuan, Daniel Figeys, Leyuan Li

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Machine learning-based cotton yield forecasting under climate change for precision agriculture by Muhammad Umair Shahzad, Sana Tahir, Javed Rashid, Osama A. Khashan, Rashid Ahmad, Sheikh Mansoor, Anwar Ghani

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ARTigo: Data from Social Tagging with Art-historical Images by Stefanie Schneider

“…The annotations serve to improve the accessibility of art-historical images and offer vast research potential well beyond their utility as training datasets for Computer Vision (CV) algorithms.…”
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Bayesian Prediction Intervals Based on Type-I Hybrid Censored Data from the Lomax Distribution under Step-Stress Model by Abdalla Rabie, Abd EL-Baset A. Ahmad, Mohamad A. Fawzy, Tahani A. Aloafi

“…The Bayesian prediction of future failures from Lomax distribution is the subject of this research. The observed data is censored using a Type-I hybrid censoring scheme under a step-stress partially accelerated life test. …”
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Machine learning aids in the discovery of efficient corrosion inhibitor molecules by Haiyan GONG, Lingwei MA, Dawei ZHANG

“…In recent years, machine learning (ML) has demonstrated significant potential in corrosion inhibitor molecule research and has emerged as a powerful tool for scientists to explore new and efficient corrosion inhibitors. …”
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Defining analytical skills for human resources analytics: A call for standardization by Konrad Kulikowski

“…PURPOSE: Human resources (HR) analytics systems, powered by big data, AI algorithms, and information technology, are increasingly adopted by organizations to enhance HR’s impact on business performance. …”
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Study of the interval width of features for improving forecasting efficiency of the transport flow intensity by I. N. Pugachev, N. G. Sheshera, D. Yе. Grigorov

“…The complicated system of characteristic interaction between the Driver-Car-Road-Environment (DCRE) is the research subject for the scientists around the world. …”
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Linking Immunological Parameters and Recovery of Patient’s Motor and Cognitive Functions In The Acute Period of Ischemic Stroke by A. M. Tynterova, N. N. Shusharina, A. M. Golubev, E. M. Moiseeva, L. S. Litvinova

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Transformative applications in biology education: A case study on the efficacy of adaptive learning with numerical insights by Shin I. Aleksandrovich, Tyan Ramazan, Raissa Utegaliyeva, Balzat Sarimbayeva, Gaukhar Keubassova, Rakhima Bissalyyeva, Kuanysh Syman, Gaukhar Abdikarimova

“…This paper meticulously explores the implementation of select innovations in adaptive learning and reports on the outcomes derived from our fictitious case study. Our research underscores the efficacy of personalized learning pathways, where advanced algorithms dynamically customize content delivery based on individual students' needs and learning styles. …”
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Comparison of Gait Parameters Collected Across Two Commercially Available Gait Systems in Older Adults by Alexandria Hoang, Jeannette Mahoney, Ying Jin, Sofiya Milman, Nir Barzilai, Joe Verghese, Emmeline Ayers

“…<b>Background/Objectives</b>: Research examining mobility in older adults often utilizes spatiotemporal gait parameters obtained from computerized walkway systems like GAITRite (Franklin, NY, USA) and Zenometrics, LLC (Peekskill, NY, USA). …”
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Theoretical Model, Model Innovation, and Important Implications of DeepSeek Empowering Library Knowledge Services by ZHANG Xingwang, LI Jie, LI Sifan, WANG Xiaopei

“…This study aims to provide some reference and inspiration for the research of related issues. [Results/Conclusions] The library is currently in a critical period of development for the "15th Five-Year Plan". …”
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Impact of social media disinformation explored in 'The Social Dilemma' by Rizky Aditya Husandani, Prahastiwi Utari, Andre Noevi Rahmanto

“…The film provided a critical lens to examine how social media algorithms amplified false narratives. Using a qualitative content analysis approach, the research highlighted key themes related to disinformation, such as political polarization in the U.S., the flat earth theory, the #Pizzagate conspiracy, Covid-19 misinformation, and the incitement of hate speech in Myanmar. …”
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Selected Topics in Management and Modeling of Complex Systems: Editorial Introduction to Issue 16 of CSIMQ by Peter Forbrig

“…The range of topics ends with the discussion of specific algorithms that allow entity clustering for Big Data analysis. …”
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Atopic Dermatitis in Children: Current Clinical Guidelines for Diagnosis and Therapy by Leyla S. Namazova-Baranova, Alexander A. Baranov, Anna A. Kubanova, Natalia I. Ilina, Olga M. Kurbacheva, Elena A. Vishneva, Gennadiy A. Novik, Fedor I. Petrovskii, Svetlana G. Makarova, Nikolai N. Murashkin, Anna A. Alekseeva, Liliia R. Selimzianova, Julia G. Levina, Kamilla E. Efendieva, Natalya I. Voznesenskaya

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AI-driven healthcare: Fairness in AI healthcare: A survey. by Sribala Vidyadhari Chinta, Zichong Wang, Avash Palikhe, Xingyu Zhang, Ayesha Kashif, Monique Antoinette Smith, Jun Liu, Wenbin Zhang

“…We emphasize the necessity of diverse datasets, fairness-aware algorithms, and regulatory frameworks to ensure equitable healthcare delivery. …”
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Comparison of digital loudspeaker - equalization techniques by P. Dziechciński

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Influence of Aerobic Exercise Load Intensity on Children’s Mental Health by Sihong Zhao

“…In this paper, the detection and tracking technology of video moving objects is used to analyze the data of the research object. This technique includes several commonly used and improved video analysis algorithms. …”
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COMPUTAÇÃO QUÂNTICA EM QUÍMICA by Caio M. Porto, Matheus S. Fonseca, Guilherme de S. T. Morais, Celso J. Villas-Boas, Rene A. Nome, Nelson H. Morgon

“…By leveraging qubits and powerful quantum algorithms like the variational quantum eigensolver (VQE) and quantum phase estimation (QPE), quantum computing provides a novel approach to unraveling the intricacies of electronic structures and properties of molecules. …”
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