TITAN decreaser diatom heatmap. by Brent J. Bellinger (21156150)

Yearly crude rates normalized by their 1999 value. by Tony Wong (779773)

“…<p>Values below 1 indicate crude rate decreases relative to their 1999 value, those above 1 indicate increases. …”

Analysis of tea output value distribution and growth- decrease rate of provinces. by Kun Qin (177235)

Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts. by Gillian P. McHugo (8965919)

Decrease in loss during the training process. by Muhammad Idrees (92773)

Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses by Jing Wang (6206297)

“…However, how global land use changes impact soil N supply and potential N loss remains elusive. By compiling a global data set of 1,782 paired observations from 185 publications, we show that land use conversion from natural to managed ecosystems significantly reduced NNM by 7.5% (−11.5, −2.8%) and increased NN by 150% (86, 194%), indicating decreasing N availability while increasing potential N loss through denitrification and nitrate leaching. …”

TITAN decreaser macroinvertebrate heatmap Heatmap of sensitive (i.e., <i>z-</i>) macroinvertebrate taxa (y-axis) to at least one of the five stressors, in decreasing order of numbe... by Brent J. Bellinger (21156150)

Contemporary mean inundation fraction in the Amazon basin. by Nic Gedney (19762301)

Maximum IFN concentrations are decreased in severe patients. by Sonia T. Gazeau (21512764)

Multivariate regression analysis to explain the decrease in visibility and palpability. by Miharu Matsumoto (21304390)

Forest plot and volcano plot of ROR values (95% CI) for the first 30 high signal intensity AEs of penicillamine versus trientine. by Wenlong Qian (22608053)

List of network connections predictive of individual SoF values, together with their β weights, in decreasing order. by Yinan Xu (12440894)

“…<p>List of network connections predictive of individual SoF values, together with their β weights, in decreasing order.…”

Supporting information file corresponding to Fig 7. by Oswaldo Maillard (20660661)

Subjects:

Supporting information file corresponding to Fig 3. by Oswaldo Maillard (20660661)

Subjects:

Supporting information file corresponding to Fig 5. by Oswaldo Maillard (20660661)

Subjects:

Supporting information file corresponding to Fig 8. by Oswaldo Maillard (20660661)

Subjects:

Sample characteristics: Countries, cities and city innovation. by Saul Estrin (8629173)

Variation of the most appropriate p value significance threshold with different ratios of the standard deviations and sample sizes. by Farrokh Habibzadeh (12256529)

Subjects:

Innovation and night light in large and small cities. by Saul Estrin (8629173)

Moran’s I value, Z value and P value of CCD-GFEE. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”