Patterns of lifetime use of substances by gender. by Daniel Waiganjo Kinyanjui (15877725)

“…The lifetime prevalence of substance use was 41.5%, while that of alcohol use was 36%. For both, a higher mean neuroticism score [substance use- (AOR 1.05, 95%CI; 1, 1.10: p = 0.013); alcohol use- (AOR 1.04, 95%CI; 0.99, 1.09: p = 0.032)] showed increased odds of lifetime use, while a higher mean agreeableness score [substance use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.008); alcohol use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.032)] showed decreased odds of lifetime use. …”

S1 Data - by Daniel Waiganjo Kinyanjui (15877725)

“…The lifetime prevalence of substance use was 41.5%, while that of alcohol use was 36%. For both, a higher mean neuroticism score [substance use- (AOR 1.05, 95%CI; 1, 1.10: p = 0.013); alcohol use- (AOR 1.04, 95%CI; 0.99, 1.09: p = 0.032)] showed increased odds of lifetime use, while a higher mean agreeableness score [substance use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.008); alcohol use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.032)] showed decreased odds of lifetime use. …”

Factors associated with substance use. by Daniel Waiganjo Kinyanjui (15877725)

“…The lifetime prevalence of substance use was 41.5%, while that of alcohol use was 36%. For both, a higher mean neuroticism score [substance use- (AOR 1.05, 95%CI; 1, 1.10: p = 0.013); alcohol use- (AOR 1.04, 95%CI; 0.99, 1.09: p = 0.032)] showed increased odds of lifetime use, while a higher mean agreeableness score [substance use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.008); alcohol use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.032)] showed decreased odds of lifetime use. …”

Factors associated with personality traits. by Daniel Waiganjo Kinyanjui (15877725)

“…The lifetime prevalence of substance use was 41.5%, while that of alcohol use was 36%. For both, a higher mean neuroticism score [substance use- (AOR 1.05, 95%CI; 1, 1.10: p = 0.013); alcohol use- (AOR 1.04, 95%CI; 0.99, 1.09: p = 0.032)] showed increased odds of lifetime use, while a higher mean agreeableness score [substance use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.008); alcohol use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.032)] showed decreased odds of lifetime use. …”

mTORC1 hyperactivation led to a decreased autophagic activity in the podocytes. by Wakiko Iwata (8600457)

“…<p>(<b>A</b>) Primary cultured podocytes were isolated from <i>Tsc2</i>^{Δ<i>podocyte</i>} and wild-type controls, followed by western blot analyses of TSC2, phospho-4EBP1, LC3B type II, p62, phospho-ULK1, and β-tubulin. …”

Juvenile demyelination leads to a decrease in axonal complexity of PFC PV interneurons. by Sara Hijazi (21656615)

“…<b>F</b>. Example image of a biocytin-labeled PFC PV interneuron from a control mouse (left) and from cuprizone-treated mouse (right); scale bar: 50 µm. …”

Proposed model of S100A8/9 induction. by Mohamad Karaky (8910497)

Graphs representing results (mean plus 95% confidence interval) of 100 deletions per each combination of deletion proportion (i.e., 0–20%) and type (i.e., random vs. targeted) in t... by Maggie Wiśniewska (11965538)

S1 Data - by Chiara E. Hampton (16484687)

Subjects:

VPA decreases cell proliferation. by Muriel Rhinn (406515)

Comparison of ∑PBB, ∑BDE, ∑PCN and ∑DDT concentrations and concentrations of some congeners in eggs analyzed in this study and other relevant studies (ng/g ww, geometric mean and r... by Matti Viluksela (321291)

Urinary volume in 24 h per 100 g BM. by Amaury Pereira-Acácio (591234)

Effectiveness of interventions to decrease hesitancy. by Maximilian Nicolaus Burger (12969212)

Mean absorbance levels of lytic activity in parasitized and non-parasitized nymphs and adults of the whitefly <i>T</i>. <i>vaporariorum</i>. by Jorge Contreras-Garduño (3275727)

Nicorandil inhibits the decrease of SYP. by Yuanzheng Zhao (10035836)

The effect of MSC blocker GsMTx-4 on photoresponses from <i>Xenopus</i> rods. by Ulisse Bocchero (9128127)

Opioid consumption data. by Wali U. Pirzada (22278071)

“…Orthopaedic Surgery patients saw a mean 45% reduction in prescription size from 462 MMEs (range: 50–7200 MMEs) to 197 MMEs (range: 25–2400 MMEs) (p < .001), while General Surgery patients experienced a mean 38% reduction from 100 MMEs (range: 25–150 MMEs) to 60 MMEs (range: 25–150 MMEs) (p < .001). …”

Prescription data. by Wali U. Pirzada (22278071)

“…Orthopaedic Surgery patients saw a mean 45% reduction in prescription size from 462 MMEs (range: 50–7200 MMEs) to 197 MMEs (range: 25–2400 MMEs) (p < .001), while General Surgery patients experienced a mean 38% reduction from 100 MMEs (range: 25–150 MMEs) to 60 MMEs (range: 25–150 MMEs) (p < .001). …”

Refill rate by surgical specialty. by Wali U. Pirzada (22278071)

“…Orthopaedic Surgery patients saw a mean 45% reduction in prescription size from 462 MMEs (range: 50–7200 MMEs) to 197 MMEs (range: 25–2400 MMEs) (p < .001), while General Surgery patients experienced a mean 38% reduction from 100 MMEs (range: 25–150 MMEs) to 60 MMEs (range: 25–150 MMEs) (p < .001). …”

Noncontinuous data on opioid use. by Wali U. Pirzada (22278071)

“…Orthopaedic Surgery patients saw a mean 45% reduction in prescription size from 462 MMEs (range: 50–7200 MMEs) to 197 MMEs (range: 25–2400 MMEs) (p < .001), while General Surgery patients experienced a mean 38% reduction from 100 MMEs (range: 25–150 MMEs) to 60 MMEs (range: 25–150 MMEs) (p < .001). …”