Revised Node–Place spatial typology model. by Fang Liu (13271)

“…Conversely, it shows a negative linear relationship with the diversity of land construction and development. …”

Longitudinal cohort kinetics of rotavirus-specific IgG antibodies. by Jonathan Mandolo (11728356)

Perception of gender in voices of older children (Holt et al., 2025) by Christopher E. Holt (22230946)

“…All stimuli were masked by speech-shaped noise and presented over laboratory headphones in a two-alternative forced-choice paradigm. Linear mixed-effects models were used with listener group (adults, children), speaker age in months, dialect, and speaker gender as fixed predictors of listener accuracy; all listeners were from Ohio. …”

COVID19 effect on essential services. by Admas Abera (11821659)

“…The difference in the trends of services before and during COVID-19 was compared using linear-by-linear tests and the difference of magnitude across the indicators was compared using Autoregressive Integrated Moving Average (ARIMA) interrupted time series analysis at a 5% significance level.…”

Investigation of oligomeric size distribution in the proteins. by Aref Baharvand (21713886)

Principal coordinates analysis (PCoA) of streamwater microbial beta diversity without rarefaction illustrates a shift in microbial community structure during a precipitation event... by Dawn R. URycki (9659702)

Scaling relation of levels of NO₂ amounts grouped by Geographic Regions of the world. by Michael Wurm (5241413)

Rapid Water-Responsive Shape-Memory Nanocellulose/MXene Aerogel for Piezoresistive Sensing and Electromagnetic Interference Shielding in Underwater Environments by Qi Xu (134661)

“…In this study, we designed an aerogel sensor based on MXene and bacterial cellulose (BC) capable of monitoring movement in both dry and wet states while also exhibiting good electromagnetic wave absorption properties.The sensor showed a sensitivity of −6.43 with excellent linearity (99.8%) and stability. …”

Rapid Water-Responsive Shape-Memory Nanocellulose/MXene Aerogel for Piezoresistive Sensing and Electromagnetic Interference Shielding in Underwater Environments by Qi Xu (134661)

“…In this study, we designed an aerogel sensor based on MXene and bacterial cellulose (BC) capable of monitoring movement in both dry and wet states while also exhibiting good electromagnetic wave absorption properties.The sensor showed a sensitivity of −6.43 with excellent linearity (99.8%) and stability. …”

Rapid Water-Responsive Shape-Memory Nanocellulose/MXene Aerogel for Piezoresistive Sensing and Electromagnetic Interference Shielding in Underwater Environments by Qi Xu (134661)

“…In this study, we designed an aerogel sensor based on MXene and bacterial cellulose (BC) capable of monitoring movement in both dry and wet states while also exhibiting good electromagnetic wave absorption properties.The sensor showed a sensitivity of −6.43 with excellent linearity (99.8%) and stability. …”

Thermal- and Rate-Regulated Fast Switchable Adhesion within Glass Transition Zone of an Epoxy Polymer by Ling Gong (551697)

“…The pull-off force (<i>F</i>_pull‑off) is verified to linearly depend on the dissipated energy ratio (<i>r</i>), work done during pulling off (<i>U</i>₃), reduced modulus (<i>E</i>_r), and contact radius <i>a</i>_pull–off, i.e., <i>F</i>_pull‑off ∝ rU3Erapull‐off. …”

Thermal- and Rate-Regulated Fast Switchable Adhesion within Glass Transition Zone of an Epoxy Polymer by Ling Gong (551697)

“…The pull-off force (<i>F</i>_pull‑off) is verified to linearly depend on the dissipated energy ratio (<i>r</i>), work done during pulling off (<i>U</i>₃), reduced modulus (<i>E</i>_r), and contact radius <i>a</i>_pull–off, i.e., <i>F</i>_pull‑off ∝ rU3Erapull‐off. …”

Temporal evolution for NO₂ and population trends for each continent for the cities of this study. by Michael Wurm (5241413)

“…Population data was predicted based on a linear model between known population counts for 2000 and 2015, as reported in the UCDB. …”

Effects of urban boundary definition on inferring satellite-based burdens of NO₂. by Michael Wurm (5241413)

Comparison of scaling exponents for all countries, grouped by aggregated continents. by Michael Wurm (5241413)

Scaling of urban air quality for 10,286 urban centers around the world. by Michael Wurm (5241413)

Effects of population count development over time on the scaling exponent. by Michael Wurm (5241413)

Scaling of satellite-based NO₂-air quality and inventory-based NO₂-emissions for 321 continental U.S. cities. by Michael Wurm (5241413)

Urban scaling relation of NO₂ grouped by continents. by Michael Wurm (5241413)

Sublinear scaling of satellite-based NO₂-amounts and inventory-based NO_x emissions for continental U.S. Metropolitan Statistical Areas (MSA). by Michael Wurm (5241413)