Theoretical analysis framework. by Fuwei Wang (721008)

“…The results show that: (1) Rural tourism development has a non-linear positive impact on poverty alleviation in underdeveloped areas and has a double threshold effect. (2) When the poverty rate is used to express the poverty level, it can be found that the development of rural tourism at a high level can significantly promote poverty alleviation. (3) When the number of poor people is used to express the poverty level, it can be found that the poverty reduction effect shows a marginal decreasing trend with the phased improvement of the development level of rural tourism. (4) The degree of government intervention, industrial structure, economic development, and fixed asset investment play a more significant role in poverty alleviation. …”

Descriptive statistical analysis of variables. by Fuwei Wang (721008)

“…The results show that: (1) Rural tourism development has a non-linear positive impact on poverty alleviation in underdeveloped areas and has a double threshold effect. (2) When the poverty rate is used to express the poverty level, it can be found that the development of rural tourism at a high level can significantly promote poverty alleviation. (3) When the number of poor people is used to express the poverty level, it can be found that the poverty reduction effect shows a marginal decreasing trend with the phased improvement of the development level of rural tourism. (4) The degree of government intervention, industrial structure, economic development, and fixed asset investment play a more significant role in poverty alleviation. …”

Simulations for a high restoration coefficient <i>ν</i> = 0.8. by Fernando Córdova-Lepe (9727230)

Simulations for a medium restoration coefficient <i>ν</i> = 0.5. by Fernando Córdova-Lepe (9727230)

Simulations for a high restoration coefficient <i>ν</i> = 0.8. by Fernando Córdova-Lepe (9727230)

Simulations for a low restoration coefficient <i>ν</i> = 0.2. by Fernando Córdova-Lepe (9727230)

Representative images of A375 trypan blue staining from Fig 4. by Mallory J. DiVincenzo (11372420)

Simulations for a medium restoration coefficient <i>ν</i> = 0.5. by Fernando Córdova-Lepe (9727230)

Simulations for a low restoration coefficient <i>ν</i> = 0.2. by Fernando Córdova-Lepe (9727230)

LM11A-31 reverses dystrophy of cholinergic neurites that occurs with aging in APP^L/S mice. by Danielle A. Simmons (621167)

“…<p>Quantitative analysis of the effect of aging showed that 13–14 month old vehicle-treated APP^L/S (APP) mice had ChAT neurites in basal forebrain with decreased (<b><i>A</i></b>) length and (<b><i>B</i></b>) area and had dystrophic neurite clusters in cortex that occupied more area (<b><i>C</i></b>) and were larger (<b><i>D</i></b>) compared to the 9–11 month old APP Veh mice. …”

Dynamical models of all Intrinsic currents. by Muhammad Mushtaq (788834)

“…Moreover, the activity (spindle density and/or sigma power) of spindles has a linear association with learning performance in different paradigms. …”

Layer specific network activity. by Muhammad Mushtaq (788834)

Model parameters, their values, and descriptions. by Muhammad Mushtaq (788834)

“…Moreover, the activity (spindle density and/or sigma power) of spindles has a linear association with learning performance in different paradigms. …”

The use of opioids in low acuity pediatric trauma patients - Table 3 by Ashley A. Foster (8129730)

Proportion of all visits versus visits with opioids administered. by Ashley A. Foster (8129730)

Multivariate analysis. by Ashley A. Foster (8129730)

Percentage of patients given opioids by year. by Ashley A. Foster (8129730)

Demographic characteristics of ED patients who present with trauma diagnoses. by Ashley A. Foster (8129730)

Mortality rate for different types of cancers in Iran, 2019, a) Men; b) Women. by Mitra Darbandi (17967619)

Conceptual model of how the grain size of pine, mesquite, and miscanthus biochars with higher water content was reduced by F-T cycles through loss of thin layers from the particle... by Zuolin Liu (633898)

“…<p>(a) a biochar particle with its skeleton (black), connected intrapores filled with water (gray) and isolated, air-filled intrapores (white); (b) water-filled intrapores expand during freezing which increases intraporosity; and (c) biochar grain size decreases through loss of fine particles from surface of larger particles due to intrapores’ expansion.…”