Comprehensive analysis of total knee arthroplasty kinematics and functional recovery: Exploring full-body gait deviations in patients with knee osteoarthritis. by Xavier Gasparutto, Alice Bonnefoy-Mazure, Michael Attias, Katia Turcot, Stéphane Armand, Hermès H Miozzari

“…High functioning patients may benefit from TKA, mostly due to pain reduction, but may not see significant improvement of their function, with no clear impact on satisfaction rate. …”
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Computation in chemical graph rewriting networks by Christoph Flamm, Daniel Merkle, Peter F Stadler

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Acoustic-Emergent Phonology in the Amplitude Envelope of Child-Directed Speech. by Victoria Leong, Usha Goswami

“…When acquiring language, young children may use acoustic spectro-temporal patterns in speech to derive phonological units in spoken language (e.g., prosodic stress patterns, syllables, phonemes). …”
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Efficient Implementation of Mahalanobis Distance on Ferroelectric FinFET Crossbar for Outlier Detection by Musaib Rafiq, Yogesh Singh Chauhan, Shubham Sahay

“…A huge amount of data is being collected in this era of big data, predominantly for AI/ML algorithms and emerging applications. Considering such voluminous quantities, the collected data may contain a substantial number of outliers which must be detected before utilizing them for data mining or computations. …”
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Screening and validation of diagnostic markers for keloids via bioinformatics analysis by Ze Wang, Bo Hu, Wenfei Li, Tengxiao Ma, Lei Li

“…Conclusion: Our study identified two genes that may be used as diagnostic markers of KD, providing new perspectives and potential molecular targets for the study of the molecular mechanisms and clinical diagnosis of KD.…”
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Spatial-temporal data analysis of digital twin [version 1; peer review: 1 approved, 2 approved with reservations] by Qian Ai, Lei Tang, Xing He, Bo Pan, Robert Qiu

“…Conclusions: This exploration and summary of spatial-temporal data analysis may benefit the fields of both engineering and data science.…”
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Exploring Multi-Channel GPS Receivers for Detecting Spoofing Attacks on UAVs Using Machine Learning by Mustapha Mouzai, Mohamed Amine Riahla, Amor Keziou, Hacène Fouchal

“…The main consequence is the loss of position monitoring, which may increase damage risks in terms of crashes or hijacking. …”
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Access and benefit sharing biological materials for machines: Artificial intelligence, machine learning and deep learning by Charles Lawson, Elizabeth Englezos, Michelle Rourke

“…Building in ‘explainability’ to the AI algorithms may be a solution, at least in part, to delivering on fair and equitable ABS. …”
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Comparison of Machine Learning Models for Classification of Breast Cancer Risk Based on Clinical Data by Haniyeh Rafiepoor, Alireza Ghorbankhanloo, Kazem Zendehdel, Zahra Zangeneh Madar, Sepideh Hajivalizadeh, Zeinab Hasani, Ali Sarmadi, Behzad Amanpour‐Gharaei, Mohammad Amin Barati, Mozafar Saadat, Seyed‐Ali Sadegh‐Zadeh, Saeid Amanpour

“…While the Gail model, a traditional logistic regression‐based model, has been broadly used, its predictive performance may be limited by its linear assumptions. With the rapid advancement of artificial intelligence (AI) in medical sciences, various complex machine learning algorithms have been developed for risk prediction, including for BC. …”
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Advanced Methods Used for the Position and Speed Control of the Electrical Drives with PMSM Motors by SPOIALA Viorica

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Implementing Mathematics of Arrays in Modern Fortran: Efficiency and Efficacy by Arjen Markus, Lenore Mullin

“…This article presents the first results, both in terms of code and of performance, regarding this union. It may serve as a basis for further research, both with respect to the formal theory of MoA and to improving the practical implementation of array-based algorithms.…”
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Development of a Near-Field Bistatic Synthetic Aperture Radar for Complex Target Reconstruction by David G. Johnson, Graham M. Brooker

“…The second part of the paper outlines efficient algorithms that may be applied to the tomographic and topographic reconstruction of complex targets within the viewing geometry of this ISAR system.…”
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Design and Simulation of a Smart Home LAN Network Using Packet Tracer Application by SPOIALA Dragos Cristian, SPOIALA Viorica

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Automatic Data Race Error Detection in SystemC Models by A. V. Zakharov, M. J. Moiseev

“…These algorithms can detect all the errors that exist in the program. …”
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A multi-label classification method for disposing incomplete labeled data and label relevance by Lina ZHANG, Lingpeng DAI, Tai KUANG

“…Multi-label classification methods have been applied in many real-world fields，in which the labels may have strong relevance and some of them even are incomplete or missing.However，existing multi-label classification algorithms are unable to handle both issues simultaneously.A new probabilistic model that can automatically learn and exploit multi-label relevance was proposed on label relevance and missing label classification simultaneously.By integrating out the missing information，it also provides a disciplined approach to handle missing labels.Experiments on a number of real world data sets with both complete and incomplete labels demonstrated that the proposed method can achieve higher classification and prediction evaluation scores than the existing multi-label classification algorithms.…”
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The Influence of Artificial Intelligence on Communication by Talmaţchi Maria-Lucia

“…The accountability of automated systems, the transparency of algorithms, as well as the risks of information manipulation are examined from an ethical perspective. …”
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Ocular markers of microangiopathy and their possible association with cardiovascular risk in patients with systemic inflammatory rheumatic diseases: a systematic review by Bengta Sturm, Anna-Lena Zang, Julia Stingl, Rebecca Hasseli-Fräbel, Antonis Fanouriakis, Andreas Schwarting, Andreas Schwarting, Christian Geber, Julia Weinmann-Menke, Mohammed Alhaddad, Konstantinos Triantafyllias, Konstantinos Triantafyllias

“…To date, there is limited data on the optimal CV screening methods for individuals with ARDs, as conventional risk algorithms may underestimate the influence of chronic inflammation. …”
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Chemoreactome prediction of anti-inflammatory, analgesic, ulcerogenic effects of the candidate molecule N-allylimidazole-zinc in comparison with zinc derivatives of nonsteroidal an... by P. A. Galenko-Yaroshevsky, A. V. Sergeeva, I. Yu. Torshin, A. N. Gromov, I. A. Reyer, O. A. Gromova, B. A. Trofimov, L. N. Parshina, R. A. Murashko, A. V. Zadorozhniy, A. V. Zelenskaya, N. S. Sergeev, Yu. V. Tovkach, O. N. Gulevskaya, I. V. Sholl

“…The molecule may exhibit a protective effect on epithelial gastric mucosa and does not impair the properties of the stomach mucosal protective layer. …”
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Metrology of Multicarrier-Based Delay-Doppler Channel Sounding for Sub-THz Frequencies by Jonas Gedschold, Diego Dupleich, Sebastian Semper, Michael Dobereiner, Alexander Ebert, Giovanni Del Galdo, Reiner S. Thoma

“…However, uncertainties arising from limitations of the sounding hardware and algorithms may greatly impact the comparability between sounding results. …”
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Three Years of Experience with the STELLA Robotic Observatory by Thomas Granzer, Michael Weber, Klaus G. Strassmeier

“…Since May 2006, the two STELLA robotic telescopes at the Izaña observatory in Tenerife, Spain, delivered an almost uninterrupted stream of scientific data. …”
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