Analysis of FROM dynamics (in-epidemic). by Cuicui Liu (1496260)

Subjects: “…phenomenon intensified significantly…”

Comparison of total overflow for different lag orders. by Cuicui Liu (1496260)

Subjects: “…phenomenon intensified significantly…”

Dynamics of pairwise net spillovers between sectors in the third stage (post epidemic). by Cuicui Liu (1496260)

Subjects: “…phenomenon intensified significantly…”

Static spillover effects in the second stage (in the epidemic). by Cuicui Liu (1496260)

Subjects: “…phenomenon intensified significantly…”

Analysis of TO dynamics (post epidemic). by Cuicui Liu (1496260)

Subjects: “…phenomenon intensified significantly…”

Static spillover effects in stage 3 (post epidemic). by Cuicui Liu (1496260)

Subjects: “…phenomenon intensified significantly…”

Dynamics of pairwise net spillovers between sectors in the first stage (pre-epidemic). by Cuicui Liu (1496260)

Subjects: “…phenomenon intensified significantly…”

Changes in total spillage during the first stage (pre-epidemic). by Cuicui Liu (1496260)

Subjects: “…phenomenon intensified significantly…”

Changes in total spillage during the third stage (post epidemic). by Cuicui Liu (1496260)

Subjects: “…phenomenon intensified significantly…”

Dynamics of pairwise net spillovers between sectors in the second stage (in- epidemic). by Cuicui Liu (1496260)

Subjects: “…phenomenon intensified significantly…”

Sample stage division. by Cuicui Liu (1496260)

Subjects: “…phenomenon intensified significantly…”

First. by Cuicui Liu (1496260)

Subjects: “…phenomenon intensified significantly…”

Static spillovers in the first stage (pre-epidemic). by Cuicui Liu (1496260)

Subjects: “…phenomenon intensified significantly…”

Changes in total spillage during the second stage (in-epidemic). by Cuicui Liu (1496260)

Subjects: “…phenomenon intensified significantly…”

Dynamics of net spillage in the second stage (in-epidemic). by Cuicui Liu (1496260)

Subjects: “…phenomenon intensified significantly…”

Detailed information of the observation datasets. by Weidong Ji (129916)

“…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”

General technical specification for GW154/6700. by Weidong Ji (129916)

“…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”

Characteristics of census tracts that are projected to have high (groups: 250-399 and 400+) and low (groups: 50-99 and 100-249) MHC utilization for COVID-19 vaccination before Marc... by Fatih Gezer (21485468)

Different hematological parameters at day 45 of trial of male Japanese quail exposed to acetochlor @ 0, 20, 30 and 40 mg/kg BW reared in groups A, B, C, and D respectively via crop... by Naveed Arshad (19712985)

Subjects:

Fig 11 - by Naveed Arshad (19712985)

Subjects: