Innovation, nightlights and a continuous measure of city size. by Saul Estrin (8629173)

Optimal proportion under comprehensive balance analysis (vertical "*" indicates the number of occurrences for a certain factor at a certain level, horizontal "*" denotes the degree... by Junxia Zhou (14381598)

Nightlight densities in the lowest, around the median and the highest ranked cities in the sample and the distribution of firms in each city. by Saul Estrin (8629173)

Porosity Tuning in Soft-templated Mesoporous Silica: The Influence of Block Copolymer Composition and Concentration by Lysander Q. Wagner (17419267)

Subjects:

Distribution of firm sizes in our sample. by Saul Estrin (8629173)

Lifespan of a single <i>T. utriculata</i> rosette. by Alexandra M. Campbell (3284094)

A Wearable Dual-Modal Patch for Rapid Pre-Hospital Diagnosis of Acute Myocardial Infarction by Kuo Yang (280921)

Subjects:

A Wearable Dual-Modal Patch for Rapid Pre-Hospital Diagnosis of Acute Myocardial Infarction by Kuo Yang (280921)

Subjects:

A Wearable Dual-Modal Patch for Rapid Pre-Hospital Diagnosis of Acute Myocardial Infarction by Kuo Yang (280921)

Subjects:

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

Summary statistics of key variables. by Saul Estrin (8629173)

“…We find that in developing countries, as urban economic density increases, innovation first increases and then begins to decrease beyond a certain point, with the decline being most prominent in the largest cities. …”

Geographical distribution of large cities and small cities. by Saul Estrin (8629173)

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

Variables for the bromeliad agent representing a single <i>T. utriculata</i> rosette. by Alexandra M. Campbell (3284094)

Distribution of final population size (A) and mean change in mean MSI over time (B) over 100 simulations for each parameter set shown in Table 3 in the absence of weevils (left) an... by Alexandra M. Campbell (3284094)

Biases in larger populations. by Sander W. Keemink (21253563)

“…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. …”

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)

Growth of certain cancer cell lines requires IRE1 but not its enzymatic activity. by Iratxe Zuazo-Gaztelu (21071939)

Growth of certain cancer cell lines requires IRE1 but not its enzymatic activity. by Iratxe Zuazo-Gaztelu (21071939)

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)