Search alternatives:
significantly greater » significantly correlated (Expand Search), significantly increased (Expand Search), significantly higher (Expand Search)
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
higher decrease » higher degrees (Expand Search), highest increase (Expand Search)
higher degree » high degree (Expand Search)
significantly greater » significantly correlated (Expand Search), significantly increased (Expand Search), significantly higher (Expand Search)
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
higher decrease » higher degrees (Expand Search), highest increase (Expand Search)
higher degree » high degree (Expand Search)
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6521
Supplementary Material for: Minimal Change Disease and Focal Segmental Glomerulosclerosis are associated with good kidney prognosis and Thrombotic Microangiopathy with poor kidney...
Published 2024“…Moreover, the overall distribution of histological profiles showed significant particularities in the analyzed patient cohort, the most important being the higher frequency of TMA cases.…”
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6522
Loughborough University East Midlands campus meteorological data, 2008-2021
Published 2025“…</p><p dir="ltr">Campus temperatures are slightly, but consistently, higher than those indicated by HadUK-grid, while HadUK-Grid rainfall is on average almost 10% higher than that recorded on the campus. …”
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6523
Table_1_Estimation of scrub typhus incidence and spatiotemporal multicomponent characteristics from 2016 to 2023 in Zhejiang Province, China.XLSX
Published 2024“…However, there may be significant bias in the number of reported cases of scrub typhus, to the extent that its epidemiological patterns are not clearly understood. …”
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6524
Figure 1 from Gut Microbiome Profiling in Eμ-TCL1 Mice Reveals Intestinal Changes and a Dysbiotic Signature Specific to Chronic Lymphocytic Leukemia
Published 2025“…Asterisks denote the significance between WT B6 and Eμ-TCL1 mice at each time point. …”
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6525
Assessing the Causal Role of Walking Pace and Hand Grip Strength with Chronic Obstructive Pulmonary Disease Hospital: A Mendelian Randomization Study
Published 2024“…</p> <p>Our research shows a link between slower walking pace and higher COPD hospitalization risk, as well as decreased lung function (PEF, FEV1, FVC). …”
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6526
LRIG1 and CDK6 expression in the lateral ventricular wall cells
Published 2025“…Although the <i>Cdk6</i> mRNA decreases significantly in the neuroblasts, the DCX+ neuroblasts still show a lot of td-sfGFP immunoreactivity.…”
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6527
PDLB - Balance Sheet
Published 2024“…Loans issued in 2019 - 2022 will reset to higher levels in 2024 - 2027</li><li>Yield curve is inverted. …”
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6528
<b>Penguins Exploit Tidal Currents for Efficient Navigation and Opportunistic Foraging: </b><b>Ocean Currents (U and V Components from ROMS) and Penguin Biologging Data from San Lo...
Published 2025“…</p><p dir="ltr"><b>Dataset Contents & Column Descriptions [Penguins.csv]:</b></p><p dir="ltr">The dataset is stored as a <b>CSV file</b> (Penguins.csv), with the following <b>columns</b>:</p><p dir="ltr"><b>Column Name:</b> Description</p><table><tr><td><table><tr><th><p dir="ltr"><b>DateTime</b>UTC timestamp of each record (YYYY-MM-DD HH:MM:SS)<br><b>ID</b>Unique penguin identifier<br><b>VeDBA.smoothed</b>Smoothed Vectorial Dynamic Body Acceleration (VeDBA)<br><b>Mag.heading.smoothed</b>Smoothed magnetic (compass) heading in degrees, corrected for sensor offsets<br><b>smth.depth</b>Smoothed dive depth (m), adjusted for sensor drift<br><b>Behaviour.occurrence</b>Cumulated unique Occurence of each behaviour ("dive", "subsurface", "surface")<br><b>Behaviour.Group</b>'Behaviour' and 'Behaviour.occurrence' values pasted together<br><b>Behaviour.duration</b>Duration (s) of the current behavioral bout<br><b>Behaviour</b>General behavior classification: "dive", "subsurface", "surface"<br><b>corrected.pitch</b>Smoothed body pitch angle (degrees), corrected for sensor bias<br><b>Dive.profile</b>Sub-phase of dive (“Descent”, “Bottom phase”, “Ascent”), otherwise, 'Surface_Sub-surface'<br><b>speed</b>Estimated swim speed estimates (m/s)<br><b>CS</b>Ocean Current Speed (m/s) at the penguin’s location and time<br><b>CH</b>Ocean Current Heading (direction of flow 'towards' in degrees)<br><b>DR.longitude.corr</b>GPS-corrected Dead-reckoned longitude (decimal degrees)<br><b>DR.latitude.corr</b>GPS-corrected Dead-reckoned latitude (decimal degrees)<br><b>DR.straightline.distance.from.start.2D</b> Planar distance (m) from the trip’s starting point, calculated in 2D<br><b>Row.number</b>Original row index in the processing pipeline<br><b>Prey.persuit</b>Occurence of prey-pursuit event<br><b>DR.longitude.corr.m</b>GPS-corrected Dead-reckoned longitude converted to a planar metric projection (meters)<br><b>DR.latitude.corr.m</b>GPS-corrected Dead-reckoned latitude converted to a planar metric projection (meters)<br><b>trip_status</b>Trip phase indicator (e.g., “Outbound”, “Inbound”)<br><b>turns</b>Occurence of 'significant' turns<br><b>Hour</b>Hour of day (0–23)<br><b>Time</b>Time (YYYY-MM-DD HH) extracted from DateTime<br><b>U_comp</b> Zonal (East-West) current velocity component (m/s)<br><b>V_comp</b> Meridional (North-South) current velocity component (m/s)<br><b>index</b> (same as 'Row.number')<br><b>Distance</b> 2D Distance moved (estimated from GPS-corrected dead-reckoned coords)<br><b>Prop.distance.travelled</b> Proportion of distance moved (scaled 0–1)<br><b>Prop.time.travelled </b>Proportion of time into round trip (scaled 0–1)<br></p></th></tr></table></td></tr></table><p dir="ltr"><b>Dataset Contents & Column Descriptions [Ocean_Currents.csv]:</b></p><p dir="ltr">The dataset is stored as a <b>CSV file</b> (Ocean_Currents.csv), with the following <b>columns</b>:</p><table><tr><td><p dir="ltr"><b>Column Name</b></p></td><td><p dir="ltr">Description</p></td></tr><tr><td><p dir="ltr"><b>Lat</b></p></td><td><p dir="ltr">Latitude (decimal degrees, WGS84)</p></td></tr><tr><td><p dir="ltr"><b>Lon</b></p></td><td><p dir="ltr">Longitude (decimal degrees, WGS84)</p></td></tr><tr><td><p dir="ltr"><b>Hours</b></p></td><td><p dir="ltr">Time index in hours from model start</p></td></tr><tr><td><p dir="ltr"><b>U_comp</b></p></td><td><p dir="ltr">Zonal (East-West) current velocity component (m/s)</p></td></tr><tr><td><p dir="ltr"><b>V_comp</b></p></td><td><p dir="ltr">Meridional (North-South) current velocity component (m/s)</p></td></tr><tr><td><p dir="ltr"><b>Time/TS</b></p></td><td><p dir="ltr">Timestamp (YYYY-MM-DD HH:MM:SS, GMT)</p></td></tr><tr><td><p>############################</p><p dir="ltr"><b>Files pertaining to bathymtery data:</b></p><ul><li>gebco_08_-67_-45_-62_-40_pertaining_to_Fig.S8a </li><li> sgdf_bathy_pertaining_to_Fig.S8a</li></ul><p dir="ltr"><b>Workflow script.R</b> --> R script showing step-by-step data processing, analysis, and figure generation. …”