Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice. by Udaysankar Chockanathan (18510288)

“…<p>(A) Spiking activity of representative neurons (black points) overlaid with animal trajectories on the virtual track (gray lines). …”

Pairwise correlations in APP/PS1 mice are decreased in dCA1, but increased in vCA1. by Udaysankar Chockanathan (18510288)

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

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

“…The Figure reveals two patterns: 1) the maximum level of innovation is higher in large cities (2.53) than in small cities (2.02); 2) among large cities in <b>a</b>, innovation levels in general decrease with nightlight density. …”

Evolution of ISI distributions as a function of number of inputs in input encoding. by Evan Cudone (5768813)

The rate the bias decreases with sample duration is higher for cells with higher activity levels. by Liron Sheintuch (12078310)

Percentage of exhale flux penetrating through the mask fabric for different values of <i>c</i>_<i>k</i>; a–c and d–f decreasing porosity for outward and inward protection... by Akshay Anand (118579)

Spatial information of excitatory neurons in APP/PS1 mice are decreased in dCA1 and vCA1. by Udaysankar Chockanathan (18510288)

“…<p>(A) In dCA1, spatial information was decreased in APP/PS1 mice relative to C57BL/6 controls (mean ± std: C57BL/6 = 0.134 ± 0.050, APP/PS1 = 0.132 ± 0.054, p < 0.01, two-sided Wilcoxon rank-sum test, n_C57BL/6 = 229 units from 5 recording sessions, n_APP/PS1 = 124 units from 4 recording sessions). …”

Spike prediction coherence and NST standard deviation as a function of size of recent event history. by Evan Cudone (5768813)

Flow diagram illustrating the sequence of procedures executed during one time step defined as tick, each of which represents one week. by Alexandra M. Campbell (3284094)

Simulation of the average densities/concentrations of the variables for model (2)–(21) with/without ENZ (ADT) at <i>γ</i>_<i>E</i> = 10⁻⁷ g/cm³⋅d.... by Nourridine Siewe (5081834)

Benefit maps for treatment with ADT. by Nourridine Siewe (5081834)

Cellular immune components of the pre-castration and post-castration within the tumor. by Nourridine Siewe (5081834)

Benefit maps of combination therapy with ADT. by Nourridine Siewe (5081834)

<i>FVC</i> change of southern observation line. by Ziheng Song (14380161)

“…The Open-pit mining affected areas showed the largest decline, reaching 68.3%. The <i>FVC</i> in the underground mining areas had a downward trend, but self-healing effect after mining was also observed. (2) The overall <i>FVC</i> in the study area was positively correlated with the number of precipitation days. (3) There were differences in the sensitivity to mining disturbance for different landform in the underground mining areas. (4) Although the <i>FVC</i> in the Old mining areas had recovered to the level of Natural growth control area, but the annual fluctuation was larger, which might mean lower ecological stability.…”

<i>FVC</i> change of the northern observation line. by Ziheng Song (14380161)

“…The Open-pit mining affected areas showed the largest decline, reaching 68.3%. The <i>FVC</i> in the underground mining areas had a downward trend, but self-healing effect after mining was also observed. (2) The overall <i>FVC</i> in the study area was positively correlated with the number of precipitation days. (3) There were differences in the sensitivity to mining disturbance for different landform in the underground mining areas. (4) Although the <i>FVC</i> in the Old mining areas had recovered to the level of Natural growth control area, but the annual fluctuation was larger, which might mean lower ecological stability.…”

Pairwise correlations of excitatory neurons in APP/PS1 mice are decreased in dCA1, but increased in vCA1. by Udaysankar Chockanathan (18510288)

Spike train replicability of HH and WB models with event-based input encodings as a function of number of inputs. by Evan Cudone (5768813)

Points represent regions where the cluster coefficient was significantly larger in HC compared to MCI, at sparsity level of 0.15. by Therese M. Gilligan (7460906)

Time series change of <i>FVC</i> in each analysis area. by Ziheng Song (14380161)

“…The Open-pit mining affected areas showed the largest decline, reaching 68.3%. The <i>FVC</i> in the underground mining areas had a downward trend, but self-healing effect after mining was also observed. (2) The overall <i>FVC</i> in the study area was positively correlated with the number of precipitation days. (3) There were differences in the sensitivity to mining disturbance for different landform in the underground mining areas. (4) Although the <i>FVC</i> in the Old mining areas had recovered to the level of Natural growth control area, but the annual fluctuation was larger, which might mean lower ecological stability.…”