Establishing thresholds for swing transparency at the knee during gait to inform exoskeleton design. by Chase W Mathews, Delaney A Clawson, Karl E Zelik

“…We measured changes to lower limb kinematics, knee flexor muscle activity, and participants' perception of being impeded during swing. …”
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Machine Learning-Based Integrated Analysis of PANoptosis Patterns in Acute Myeloid Leukemia Reveals a Signature Predicting Survival and Immunotherapy by Lanlan Tang, Wei Zhang, Yang Zhang, Wenjun Deng, Mingyi Zhao

“…Objective. We conducted a meticulous bioinformatics analysis leveraging expression data of 226 PANRGs obtained from previous studies, as well as clinical data from AML patients derived from the HOVON database. …”
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Integrating fMRI spatial network dynamics and EEG spectral power: insights into resting state connectivity by Souvik Phadikar, Krishna Pusuluri, Armin Iraji, Vince D. Calhoun

“…We estimated time-resolved brain networks using sliding window-based spatially constrained independent component analysis (scICA), producing resting brain networks that evolved over time at the voxel level. …”
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Information Flow between Global Equities and Cryptocurrencies: A VMD-Based Entropy Evaluating Shocks from COVID-19 Pandemic by Emmanuel Asafo-Adjei, Peterson Owusu Junior, Anokye M. Adam

“…We detect that most cryptocurrencies exhibit similar behaviour of information flow to global equities for each of the sample periods. …”
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Non-negligible Occurrence of Errors in Gender Description in Public Data Sets by Jong Hwan Kim, Jong-Luyl Park, Seon-Young Kim

“…While analyzing several public datasets, we observed that errors in gender information occur quite often in public datasets. …”
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Size Influences on the Survival of Willow Cuttings Under Operational Field Conditions by Alan Pollock, Kyle R. Grant, Amanda Schoonmaker

“…As we did not control for species composition, the higher survival of cuttings from low‐lying areas may result from species‐specific differences among cutting sources, reflected by compositional differences we detected among surviving individuals in year two. …”
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Comparative (Computational) Analysis of the DNA Methylation Status of Trinucleotide Repeat Expansion Diseases by Mohammadmersad Ghorbani, Simon J. E. Taylor, Mark A. Pook, Annette Payne

“…Furthermore, comparing our software with MEME software, we have demonstrated that our software identifies more patterns than MEME in these short DNA sequences. …”
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Modelling the Impact of Media-Induced Social Distancing on the Containment of COVID-19 in Beijing by Yinjiao Gong, Aili Wang, Jin Guo, Stacey R. Smith?

“…We propose a discrete compartment model with the fully susceptible, the media-aware susceptible, and the quarantined susceptible as three separate classes. …”
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Research on the Spread Path and Evolution Causes of Oral Language in the Digital Era by Zhiqiang Li

“…At the same time, we propose a benchmark test problem of multitask optimization with different dimensions, and HD-MFEA is superior to MFEA and other improved algorithms in the test problem. …”
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Combination of Enrichment Using Gene Ontology and Transcriptomic Analysis Revealed Contribution of Interferon Signaling to Severity of COVID-19 by Hilmi Farhan Ramadhani, Annisa Annisa, Aryo Tedjo, Dimas R. Noor, Wisnu Ananta Kusuma

“…Moreover, we conducted transcriptomic data analysis to reveal genes contributing to disease severity. …”
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Galaxy Evolution in a Pilot Survey up to z=1 and CDM Halos by E. Giraud, J. Melnick, Q.-S. Gu, H. Quintana, F. Selman, I. Toledo, P. Zelaya

“…We study spectral evolution of galaxies in a magnitude limited sample of 550 galaxies from z=1 down to z=0.3 on a pencil beam of ≈10′×10′. …”
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Ground-Target Recognition Method Based on Transfer Learning by Qiuzhan Zhou, Jikang Hu, Huinan Wu, Cong Wang, Pingping Liu, Xinyi Yao

“…We proposed a new moving ground-target recognition algorithm based on CNN and domain adaptation. …”
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Socioeconomic Inequity in Access to Medical and Long-Term Care Among Older People by Shohei Okamoto, Atsuhiro Yamada, Erika Kobayashi, Jersey Liang

“…We standardised public LTC use by need and non-need variables. …”
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Cells Grouping Detection and Confusing Labels Correction on Cervical Pathology Images by Wenbo Pang, Yi Ma, Huiyan Jiang, Qiming Yu

“…Subsequently, we merge region proposals from grouping detection to achieve refined detection. …”
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Individual differences in discourse management by Derya Çokal, Jason Bishop, Jacopo Torregrossa, Clare Patterson, Martine Grice, Simon Wehrle, Maria Lialiou, Sophie Repp, Heiko Seeliger, Sonja Eisenbeiß, Klaus von Heusinger, Kai Vogeley, Petra B. Schumacher

“…Every utterance in discourse we produce arises from the interaction of numerous cognitive functions, such as semantic memory, where we store the meanings of words, executive function and working memory as required for maintenance of a discourse goal, and social cognitive abilities, such as mind-reading capacity as required for tuning what we say to what others know or believe. …”
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Exploring Embodiment Form Factors of a Home-Helper Robot: Perspectives from Care Receivers and Caregivers by Katherine M. Tsui, Rune Baggett, Carol Chiang

“…It is vital to understand how we can ease the burden of caregiving on both the care receivers’ and caregivers’ sides. …”
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THE MOLECULAR GENETIC STUDY OF KRIM-SAGHYZ (Taraxacum hybernum Steven) USING SSR, RAPD AND ISSR MARKERS by B. R. Kuluev, A. V. Fateryga, A. R. Kuluev, E. V. Mikhaylova, A. V. Chemeris

“…We found that the Crimean population of krim-saghyz appears to be genetically homogeneous. …”
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Designing a Human Machine Interface for Quality Assurance in Car Manufacturing: An Attempt to Address the “Functionality versus User Experience Contradiction” in Professional Produ... by Nikolaj Borisov, Benjamin Weyers, Annette Kluge

“…Therefore, in this work we investigate a representative production step in a long-term project together with a German car manufacturer, which is structured into three phases. …”
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Identification and analysis of individuals who deviate from their genetically-predicted phenotype. by Gareth Hawkes, Loic Yengo, Sailaja Vedantam, Eirini Marouli, Robin N Beaumont, GIANT Consortium, Jessica Tyrrell, Michael N Weedon, Joel Hirschhorn, Timothy M Frayling, Andrew R Wood

“…Secondly, we apply our methods to LDL cholesterol (LDL-C). …”
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Multi-level representation learning via ConvNeXt-based network for unaligned cross-view matching by Fangli Guan, Nan Zhao, Zhixiang Fang, Ling Jiang, Jianhui Zhang, Yue Yu, Haosheng Huang

“…First, we extract global features through the ConvNeXt model. …”
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