Demonstration of 4 <inline-formula> <tex-math notation="LaTeX">$\times$</tex-math></inline-formula> 128-Gb/s DFT-S OFDM Signal Transmission over 320-km SMF With IM/DD by Yuanquan Wang, Jianjun Yu, Nan Chi

“…Meanwhile, a combination of advanced digital signal processing (DSP) algorithms, such as pre-equalization, nonlinearity equalization (NE), and decision-directed least mean square (DDLMS), are utilized to mitigate the system distortions and improve system performance. …”
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Treatment Tactics and Complications After Surgical Treatment of HIV-Infected Patients With Extra-Articular Fractures of the Long Bones of Extremities by N. G. Doronin, S. N. Khoroshkov, M. V. Naumenko

“…Thus, the use of standard algorithms for determining the tactics and method of treatment of extra-articular fractures of the long bones of the extremities in HIV-infected patients leads to a significant number of unsatisfactory treatment results (up to 31.1%). …”
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Hydrologic model calibration approaches for highly regulated river basin: A comprehensive assessment by Md Rasel Sheikh, Paulin Coulibaly

“…The calibration process is automated through the Dynamically Dimensioned Search (DDS) and Pareto Archive Dynamically Dimensioned Search (PADDS) algorithms. New hydrological insights for the region: The results reveal that multi-site, multi-variable calibration significantly improves the simulation of inflow, outflow, and SWE, particularly in snow-dominated environments, underscoring the importance of accounting for multiple hydrological processes in the region. …”
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Barriers, Drivers, and Social Considerations for AI Adoption in Supply Chain Management: A Tertiary Study by Johannes Hangl, Viktoria Joy Behrens, Simon Krause

“…<i>Results</i>: As a summary of the results, the main areas of AI in SCM were algorithms, followed by the Internet of Things (IoT). …”
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Distribution Generation Network Arrangement by Capacitor Placement and Sizing in Renewable Energy Sources with Uncertainties Based on Self-adaption Kho-Kho Optimizer by Lu Xingxing

“…Further research will explore multi objective algorithms and the incorporation of additional types of distributed generation to continue improving reliability and stability.…”
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POLYPHARMACY IN MANAGMENT OF IN-PATIENTS WITH NOVEL CORONAVIRUS DISEASE (COVID-19) by V. I. Petrov, A. Yu. Ryazanova, N. S. Privaltseva, D. A. Nekrasov

“…Lack of drugs with proven effectiveness for treatment of COVID-19, worked-out treatment algorithms, a high mortality of patients in the hospitals led to polypragmasy, excessive prescribing of drugs in the hospitals. …”
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Community dynamics during de novo colonization of the nascent peri-implant sulcus by Tamires Pereira Dutra, Nicolas Robitaille, Khaled Altabtbaei, Shareef M. Dabdoub, Purnima S. Kumar

“…We discovered that colonization trajectories of implants differ substantially from adjoining teeth in acquisition of new members and development of functional synergies. Source-tracking algorithms revealed that this niche is initially seeded by bacteria trapped within the coverscrew chamber during implant placement. …”
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Artificial Intelligence and Li Ion Batteries: Basics and Breakthroughs in Electrolyte Materials Discovery by Haneen Alzamer, Russlan Jaafreh, Jung-Gu Kim, Kotiba Hamad

“…Recent advancements in artificial intelligence (AI), particularly in algorithms and computing power, have led to the widespread adoption of AI techniques in various scientific and engineering disciplines. …”
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A Theoretical Study of Structural, Electronic, and Vibration Properties of Acetylcholine Chloride and Bromide by Kirill A. Gordienko, Aleksei B. Gordienko, Yurii N. Zhuravlev

“…The ever-growing capabilities of computing systems and algorithms make the first-principle methods extremely important in such research fields as biologically active compounds and complex biological systems. …”
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Integrating asthma care guidelines into primary care electronic medical records: a review focused on Canadian knowledge translation tools by Matheson McFarlane, Alison Morra, M. Diane Lougheed

“…KT eTools within EMRs have been a recent focus, including asthma management systems, decision support algorithms, data standards initiatives and asthma case definition validation for EMRs. …”
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ML-Enabled Millimeter-Wave Software-Defined Radio With Programmable Directionality by Marc Jean, Murat Yuksel, Xun Gong

“…We design and implement Q-learning, Double Q-learning, and Deep Q-learning algorithms that passively inspect the Received Signal Strength (RSS) of the mmWave beam and autonomously determine the predicted AoA. …”
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Progress and current trends in prediction models for the occurrence and prognosis of cancer and cancer-related complications: a bibliometric and visualization analysis by Siyu Li, Wenrui Li, Xiaoxiao Wang, Wanyi Chen

“…Emerging modeling techniques, such as neural networks and deep learning algorithms, are likely to play a pivotal role in current and future cancer-related prediction model research. …”
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Spaceborne GNSS Reflectometry for Vegetation and Inland Water Monitoring: Progress, Challenges, Opportunities, and Potential by Jiaxi Xie, Jinwei Bu, Huan Li, Qiulan Wang

“…The article also mentioned that the accuracy and efficiency of parameter retrieval can be significantly improved by improving models and algorithms, such as using neural networks and data fusion technology. …”
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Decision vector model in predicting social behavior (on the example of the secondary analysis of the pre-election surveys) by N. S. Babich, S. M. Kharun

“…The article considers a decision vector model that can be used to approximate actual behavior with some formal rules that allow to construct algorithms for predicting future states. The authors tested the reliability of ex post facto predictions on the example of the unsuccessfully predicted 2013 Moscow mayoral elections. …”
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3D Façade Element Extraction from Image-based Instance Segmentation and Scale-Invariant Object Contour Points by F. Frank, V. Shah, S. Worbis, L. Hoegner

“…The images are processed using instance segmentation with YOLOv8 and SAM, complemented by classical and enhanced algorithms for line and edge detection. The SIOCP method refines object contour lines from instance segmentation by incorporating LoD2 building data and 6DoF information. …”
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Convolutional Neural Network-Based Approach for Cobb Angle Measurement Using Mask R-CNN by Marcos Villar García, José-Benito Bouza-Rodríguez, Alberto Comesaña-Campos

“…We propose the use of Mask R-CNN architecture for spine detection and segmentation in response to the first two questions, and a set of algorithms to tackle the third. <b>Methods:</b> The network’s detection and segmentation performance was evaluated through various metrics. …”
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Identifying Precipitation Types From Surface Meteorological Variables With Machine Learning by Adrienn VARGA-BALOGH, Ádám LEELŐSSY, Róbert MÉSZÁROS

“…Known precipitation types in the training set allowed us to fit classifying algorithms. We evaluated several classification models. …”
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An engineering practical three-dimensional sliding cable element by Binlin Xu, Gen He, Fanbo Guo

“…When the support point of the left and right cable end force is equal to reach equilibrium, and then through the catenary theory to find out the tangent stiffness matrix of the two cable elements, after the group set to get the tangent stiffness matrix of the three-dimensional sliding cable elements. Finally, the algorithmic process was compiled and developed by connecting the element to the ANSYS user platform. …”
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Constitutional-Legal Aspect of Creating Large Language Models: the Problem of Digital Inequality and Linguistic Discrimination by I. G. Ilin

“…While direct forms of discrimination can be detected in predictive algorithms, generative models create more subtle but no less significant cumulative effects. …”
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How do generative artificial intelligence (AI) tools and large language models (LLMs) influence language learners’ critical thinking in EFL education? A systematic review by Jing Liu, Ahmad Johari Bin Sihes, Ye Lu

“…Abstract As generative artificial intelligence (AI) tools and large language models (LLMs)-powered applications develop rapidly in the era of algorithms, it should be integrated thoughtfully to enhance English as a Foreign Language (EFL) teaching and learning without replacing learners’ critical thinking (CT). …”
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