EDLIoT: A method for decreasing energy consumption and latency using scheduling algorithm in Internet of Things by Arash GhorbanniaDelavar (22563696)

Species assigned toe each time bin for text Fig 1. by Brendan M. Anderson (11234356)

Subjects:

Histograms of (A) distance measured in meters to nearest neighboring tree given bin widths of 2 m (<i>n</i> = 44), and (B) basal areas of all sampled trees (<i>n</i> = 58; bin widt... by Alexandra M. Campbell (3284094)

Subjects:

Analysis of Significantly Different Bacteria. by Xu Jia (187142)

Analysis of Significantly Different ARGs and Resistance Mechanisms. by Xu Jia (187142)

Spontaneous oxycodone withdrawal initially flattens NREM power rhythms, decreases low frequency and increases high frequency power. by Michael Gulledge (20577135)

Subjects:

Table 2_Bibliometric analysis of global research on the clinical applications of aminoglycoside antibiotics: improving efficacy and decreasing risk.docx by Tengxiang Zhao (20749475)

“…Avoiding prolonged dosing cycles and refraining from using AGs in patients with the m.1555 A > G gene variant can significantly mitigate the risk of ototoxicity. Future studies should examine the pharmacokinetic and pharmacodynamic targets of AGs and assess the efficacy and safety of administration by inhalation to improve efficacy and decrease risk.…”

Table 1_Bibliometric analysis of global research on the clinical applications of aminoglycoside antibiotics: improving efficacy and decreasing risk.docx by Tengxiang Zhao (20749475)

“…Avoiding prolonged dosing cycles and refraining from using AGs in patients with the m.1555 A > G gene variant can significantly mitigate the risk of ototoxicity. Future studies should examine the pharmacokinetic and pharmacodynamic targets of AGs and assess the efficacy and safety of administration by inhalation to improve efficacy and decrease risk.…”

Table 1_Centella asiatica enhances diabetic wound healing by decreasing macrophage-driven inflammation via the AKT/MAPK/NF-κB pathway.xlsx by Fugang Xiao (22152127)

R project including metadata update. by Frederik Stein (22146203)

“…Moreover, we found that taxonomic misassignments, inconsistencies in BIN formation, and missing metadata also contribute significantly to unreliable identifications. …”

Classes of errors and gaps in BOLD metadata. by Frederik Stein (22146203)

“…Moreover, we found that taxonomic misassignments, inconsistencies in BIN formation, and missing metadata also contribute significantly to unreliable identifications. …”

Soil disturbance cross-sectional model. by Xia Li (14984)

“…Furthermore, the subsoiling effect was further improved as the working speed decreased and the frequency of air blasts increased, satisfying the subsoiling operation assessment standards. …”

Test plan table. by Xia Li (14984)

“…Furthermore, the subsoiling effect was further improved as the working speed decreased and the frequency of air blasts increased, satisfying the subsoiling operation assessment standards. …”

Gas jet subsoiling model. by Xia Li (14984)

“…Furthermore, the subsoiling effect was further improved as the working speed decreased and the frequency of air blasts increased, satisfying the subsoiling operation assessment standards. …”

Schematic diagram of the airflow passage. by Xia Li (14984)

“…Furthermore, the subsoiling effect was further improved as the working speed decreased and the frequency of air blasts increased, satisfying the subsoiling operation assessment standards. …”

Variation in soil penetration resistance. by Xia Li (14984)

“…Furthermore, the subsoiling effect was further improved as the working speed decreased and the frequency of air blasts increased, satisfying the subsoiling operation assessment standards. …”

Supersonic gas jet subsoiler experiment. by Xia Li (14984)

“…Furthermore, the subsoiling effect was further improved as the working speed decreased and the frequency of air blasts increased, satisfying the subsoiling operation assessment standards. …”

Evaluation results. by Briya Tariq (19666901)

“…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. Results show decreased metal artefacts and a better signal-to-noise ratio (up to 25%) with increased energy bins as compared to reference data. …”

Dataset with steel insert. by Briya Tariq (19666901)

“…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. Results show decreased metal artefacts and a better signal-to-noise ratio (up to 25%) with increased energy bins as compared to reference data. …”

Reference dataset. by Briya Tariq (19666901)

“…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. Results show decreased metal artefacts and a better signal-to-noise ratio (up to 25%) with increased energy bins as compared to reference data. …”