Average percent relative abundance of top 10 most abundance species of healthy control and stroke patient groups. by Duangnapa Roongpiboonsopit (12829198)

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Sociodemographic and clinical characteristics associated with PCC at three months post-acute illness among adults enrolled during Omicron predominance. by Chelsea S. Lutz (16001569)

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Rarefaction curves of quality reads per sample at (A) phylum and (B) genus level operational taxonomic units (OTUs), in patient and control samples. by Duangnapa Roongpiboonsopit (12829198)

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Alpha-diversity analysis at genus level including operational taxonomic unit (OTUs), Chao richness and Shannon diversity indices. by Duangnapa Roongpiboonsopit (12829198)

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Clinical characteristics of patients and controls. by Duangnapa Roongpiboonsopit (12829198)

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(A) Beta-diversity non-metric multidimensional scaling (NMDS) analysis at genus level, and (B) LEfSe for bacterial species biomarkers representing control vs. stroke groups. by Duangnapa Roongpiboonsopit (12829198)

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Microbial metabolic potentials categorized according to KEGG (A) level 1 and (B) level 2, representing control vs. stroke groups. by Duangnapa Roongpiboonsopit (12829198)

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Microbiota compositions in percent relative abundance between healthy control and stroke patient individuals (the average microbiota between groups were displayed on the rightmost... by Duangnapa Roongpiboonsopit (12829198)

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Manifestations of Post-COVID-19 Conditions (PCC) three months post-acute illness, among those with PCC, by age group^a. by Chelsea S. Lutz (16001569)

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Clinical outcomes and COVID-19 treatment during acute illness, by hospitalization status and age group. by Chelsea S. Lutz (16001569)

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Meta Analysis for Effectiveness of RFX for Primary and Secondary Prevention. by Yangyang Hu (3309009)

The error between test and simulation results. by Shan Gao (46743)

“…Furthermore, both the maximum stress and deformation of the gyration platform exhibit a noticeable increasing trend with the escalation of swing speed. …”

Relevant parameters of cutting head and pick. by Shan Gao (46743)

“…Furthermore, both the maximum stress and deformation of the gyration platform exhibit a noticeable increasing trend with the escalation of swing speed. …”

The stress variation of Node 33. by Shan Gao (46743)

“…Furthermore, both the maximum stress and deformation of the gyration platform exhibit a noticeable increasing trend with the escalation of swing speed. …”

Deformation trend of the gyration platform. by Shan Gao (46743)

“…Furthermore, both the maximum stress and deformation of the gyration platform exhibit a noticeable increasing trend with the escalation of swing speed. …”

Force transformation of cutting head. by Shan Gao (46743)

“…Furthermore, both the maximum stress and deformation of the gyration platform exhibit a noticeable increasing trend with the escalation of swing speed. …”

3D model of cutting head. by Shan Gao (46743)

“…Furthermore, both the maximum stress and deformation of the gyration platform exhibit a noticeable increasing trend with the escalation of swing speed. …”

Rigid-flexible coupling mode. by Shan Gao (46743)

“…Furthermore, both the maximum stress and deformation of the gyration platform exhibit a noticeable increasing trend with the escalation of swing speed. …”

The flow of cutting performance calculation. by Shan Gao (46743)

“…Furthermore, both the maximum stress and deformation of the gyration platform exhibit a noticeable increasing trend with the escalation of swing speed. …”

Results of different optimization schemes. by Shan Gao (46743)

“…Furthermore, both the maximum stress and deformation of the gyration platform exhibit a noticeable increasing trend with the escalation of swing speed. …”