Crack number evolution curve when Ic = 0.5. by Lina Ge (718319)

“…The results show that the peak stress, cracking stress and dilatancy stress of coal sample decrease in a linear function law with the increase of load eccentricity coefficient. …”

Meso crack evolution law when Ic = 0.25. by Lina Ge (718319)

“…The results show that the peak stress, cracking stress and dilatancy stress of coal sample decrease in a linear function law with the increase of load eccentricity coefficient. …”

Failure modes of coal sample in laboratory test and numerical simulation. by Lina Ge (718319)

Stress and strain characteristics of coal sample under eccentric load. by Lina Ge (718319)

Fzo1 is a natural PerMit tether in WT cells. by Cynthia Alsayyah (18452506)

Unedited gel image corresponding to S3A Fig of supporting information. by Fatema Calcuttawala (8399577)

Unedited gel images corresponding to S1A Fig of supporting information. by Fatema Calcuttawala (8399577)

Macroeconomic burden of NMHs for the whole South American region over the period 2020–2050 across various scenarios. by Maddalena Ferranna (9969446)

“…<p><i>Baseline scenario</i> = 3% discount rate, disease burden based on median estimates from the 2019 Global Burden of Diseases (GBD) [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0293144#pone.0293144.ref001" target="_blank">1</a>], morbidity affects labor force participation, and treatment costs decrease investments in physical capital proportionally to the saving rate. …”

Live imaging of <i>HTA10</i>:<i>RFP</i> chromatin marker during mitosis in a oryzalin treated root tip of a wild type plant. by Claudio Capitao (5933654)

Possible mechanism of the initiation of fast and slow spindles. by Muhammad Mushtaq (788834)

(a) EBSD-BSE microstructure of samples with hydrogen content of 0.18 wt%; (b) Enlarged view corresponding to ① in figure (a); (c) the enlarged image corresponding to ② in figure (a... by Yequan Chen (4743963)

Unit root test. 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. …”

Sample inspection results of threshold effect. 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. …”

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. …”

Closed loop stimulation (CLS) simulation results. by Muhammad Mushtaq (788834)

“…<p><b><i>A</i></b>, Power spectral density (PSD) of the cortical LFP across a 300 s time period with “Point 1” (green), “Point 4” stimulation (red), and Control (black) simulation. …”

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)