College algebra students’ perceptions of exam errors and the problem-solving process by Mary E. Pilgrim, Linda C. Burks, Megan Ryals, Sloan Hill-Lindsay

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Leveraging machine learning techniques to analyze nutritional content in processed foods by K. A. Muthukumar, Soumya Gupta, Doli Saikia

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Entrainment of neural oscillations during language processing in Early-Stage schizophrenia by Tineke Grent-’t-Jong, Pradeep Dheerendra, Paolo Fusar-Poli, Joachim Gross, Andrew I. Gumley, Rajeev Krishnadas, Lars F. Muckli, Peter J. Uhlhaas

“…Background: Impairments in language processing in schizophrenia (ScZ) are a central aspect of the disorder but the underlying pathophysiology mechanisms are unclear. …”
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Correlation method of processing the image of the surface microrelief to determine its roughness by Alexey D. Abramov, Dmitry S. Klyuev

“…The method is based on computer processing of images of the studied microreliefs, as a result of which the roughness parameters of these microreliefs are determined. …”
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Multi-source data joint processing framework for DEM calibration and fusion by Cuilin Yu, Qingsong Wang, Zibo Zhang, Zixuan Zhong, Yusheng Ding, Tao Lai, Haifeng Huang, Peng Shen

“…For fusion, our DEM fusion model (DemFusion) employs spatial autocorrelation analysis and KD-Tree clustering to compute optimal fusion weights, effectively integrating complementary elevation information from multiple DEM sources. …”
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Processing of Polymers Stress Relaxation Curves Using Machine Learning Methods by Anton S. Chepurnenko, Tatiana N. Kondratieva, Ebrahim Al-Wali

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Intelligent Data Processing Methods for the Atypical Values Correction of Stock Quotes by T. V. Zolotova, D. A. Volkova

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Improving the Incident Management Process Based on a Use Case Approach by A. A. Mikryukov, A. V. Kuular

“…The purpose of the study is to improve the incident management process. The article considers the process approach to incident management in case of technical failures and its main stages: detection, response, investigation, elimination, resolution. …”
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Model of Optimization of Process Parameters for Machining of Separate Design Elements of the Product by Gulnara Zhetessova, Irina Khrustaleva, Viacheslav Shkodyrev, Olga Zharkevich, Aliya Kanatova, Murat Kozhanov, Gulim Tattimbetova, Gulnur Abdugaliyeva

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Design and evaluation of BOOGIE: a collector for the analysis of cloud composition and processes by M. Vaitilingom, M. Vaitilingom, C. Bernard, M. Ribeiro, C. Verhaege, C. Verhaege, C. Gourbeyre, C. Berthod, A. Bianco, L. Deguillaume, L. Deguillaume

“…This new instrument, BOOGIE, is a mobile sampler for cloud water collection that is easy to operate with the objective of being cleanable and sterilisable, respecting chemical and microbial cloud integrity, and presenting an efficient collection rate of cloud water. Computational fluid dynamics simulations were performed to theoretically assess the capture of cloud droplets by this new sampler. …”
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Dynamic, symmetry-preserving, and hardware-adaptable circuits for quantum computing many-body states and correlators of the Anderson impurity model by Eric B. Jones, Cody James Winkleblack, Colin Campbell, Caleb Rotello, Edward D. Dahl, Matthew Reynolds, Peter Graf, Wesley Jones

“…We therefore expect that, combined with time-dependent methods for Green's function computation, our ansatz provides a useful tool to account for electronic correlations on early fault-tolerant processors. …”
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A Review of Membrane Computing Models for Complex Ecosystems and a Case Study on a Complex Giant Panda System by Yingying Duan, Haina Rong, Dunwu Qi, Luis Valencia-Cabrera, Gexiang Zhang, Mario J. Pérez-Jiménez

“…Compared with differential equations, membrane computing models, also known as P systems, can model more complex biological phenomena due to their modularity and their ability to enclose the evolution of different environments and simulate, in parallel, different interrelated processes. …”
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Engineering intercellular communication using M13 phagemid and CRISPR-based gene regulation for multicellular computing in Escherichia coli by Hadiastri Kusumawardhani, Florian Zoppi, Roberto Avendaño, Yolanda Schaerli

“…Abstract Engineering multicellular consortia, where information processing is distributed across specialized cell types, offers a promising strategy for implementing sophisticated biocomputing systems. …”
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Machine Learning and High-Performance Computing Hybrid Systems, a New Way of Performance Acceleration in Engineering and Scientific Applications by Pawel Gepner

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IoT and Edge Computing using virtualized low-resource integer Machine Learning with support for CNN, ANN, and Decision Trees by Stefan Bosse

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A Quantitative Study Using the ACC-PH Framework: Factors Affecting Cloud Computing Adoption in Saudi Private Hospitals by Fayez Alshahrani, Natalia Beloff, Martin White

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Spatiotemporal and multi-sensor analysis of surface temperature, NDVI, and precipitation using google earth engine cloud computing platform by Qasimi Abdul Baser, Isazade Vahid, Kaplan Gordana, Nadry Zabihullah

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Preoperative loop length determination for mitral valve repair by 4-dimensional computed tomographyCentral MessagePerspective by Kazumasa Tsuda, MD, Naoki Washiyama, MD, Masahiro Hirano, MD, Yuko Ohashi, MD, Ken Yamanaka, MD, Yuki Takeuchi, MD, Kenji Kishita, MD, Norihiko Shiiya, MD

“…Measurements were made on the commissural and long-axis views created by a medical image post-processor in the late systolic phase. This technique was used in consecutive 45 patients undergoing mitral valve repair with the loop technique since April 2021. …”
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SpecPCM: A Low-Power PCM-Based In-Memory Computing Accelerator for Full-Stack Mass Spectrometry Analysis by Keming Fan, Ashkan Moradifirouzabadi, Xiangjin Wu, Zheyu Li, Flavio Ponzina, Anton Persson, Eric Pop, Tajana Rosing, Mingu Kang

“…Mass spectrometry (MS) is essential for proteomics and metabolomics but faces impending challenges in efficiently processing the vast volumes of data. This article introduces SpecPCM, an in-memory computing (IMC) accelerator designed to achieve substantial improvements in energy and delay efficiency for both MS spectral clustering and database (DB) search. …”
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EdgeSugarcane: a lightweight high-precision method for real-time sugarcane node detection in edge computing environments by Zhenhui Zheng, Zhenhui Zheng, Zhenhui Zheng, Lijiao Wei, Lijiao Wei, Kangmin Lin, Weihua Huang, Shuo Wang, Dongjie Du, Tao Wu

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