Fig 1 - Fusing multisensory signals across channels and time by Swathi Anil (17382903)

“…In classical multisensory algorithms the information from independent sensory channels (<i>Ch</i>₀, <i>Ch</i>₁) is combined via a linear sum (<b>C</b>) or nonlinear function (<b>D</b>) then summed over time. …”

Change in log10 concentration (CFU/mL) from pre-UV disinfection (N0), immediately after UV disinfection (Nt), and after 24 hour repair incubations for dark (diamond, solid lines) a... by Daniel Ma (12698752)

Proportion of time spent in the Start Room or Avoidance Room or showing a behaviour (Stimulus Contact) presented across stimuli and separately for piglets and gilts. by Sara Hintze (3216885)

Reduced expression of thermogenic and lipogenic genes of <i>aP2-Drp1</i>^f/f neonatal mice. by Yuta Ibayashi (20404811)

Historical Yellowstone Northern Range bison and elk management regimes in comparison to records of ungulate presence and environmental change at Buffalo Ford Lake. by John A. F. Wendt (19976392)

YFV-Asibi NS4A-5 promotes replication of the cap0 virus. by Anja vom Hemdt (19787189)

Box plots to show various parameters of GI motility determined from AB larvae at 7 dpf that were fed a standard diet (SD). by Jessica C. M. Hui (20370522)

Optimized TMS produces high-quality DNA methylation data across a range of plexing strategies, input amounts, and protocol modifications. by Amy Longtin (21409957)

Distribution of responses to vital signs. by Lisa Thiele (6468056)

“…A strong negative correlation was present between barriers and confidence. …”

Survey tool development process. by Lisa Thiele (6468056)

“…A strong negative correlation was present between barriers and confidence. …”

Respondent characteristics. by Lisa Thiele (6468056)

“…A strong negative correlation was present between barriers and confidence. …”

MIP receptor expression in <i>N. lugens</i>: relative quantification of <i>mipr</i> transcript levels in different developmental stages (A) and tissues (B) of <i>N. lugens.</i> by Yi-Jie Zhang (713506)

Summary of subgroup analysis results. by Junyin Pan (20700411)

“…The results showed that dietary anthocyanins significantly improved various lipid and glycemic markers:</p><p>HDL-C: increased by 0.05 mmol/L (95% CI: 0.01 to 0.10, p = 0.026), LDL-C: decreased by 0.18 mmol/L (95% CI: -0.28 to -0.08, p = 0.000), Triglycerides (TGs): reduced by 0.11 mmol/L (95% CI: -0.20 to -0.02, p = 0.021), Total cholesterol (TC): lowered by 0.34 mmol/L (95% CI: -0.49 to -0.18, p = 0.000), Fasting blood glucose (FBG): reduced by 0.29 mmol/L (95% CI: -0.46 to -0.12, p = 0.001), Glycated hemoglobin (HbA1c): decreased by 0.43% (95% CI: -0.74 to -0.13, p = 0.005). …”

Original study data. by Junyin Pan (20700411)

“…The results showed that dietary anthocyanins significantly improved various lipid and glycemic markers:</p><p>HDL-C: increased by 0.05 mmol/L (95% CI: 0.01 to 0.10, p = 0.026), LDL-C: decreased by 0.18 mmol/L (95% CI: -0.28 to -0.08, p = 0.000), Triglycerides (TGs): reduced by 0.11 mmol/L (95% CI: -0.20 to -0.02, p = 0.021), Total cholesterol (TC): lowered by 0.34 mmol/L (95% CI: -0.49 to -0.18, p = 0.000), Fasting blood glucose (FBG): reduced by 0.29 mmol/L (95% CI: -0.46 to -0.12, p = 0.001), Glycated hemoglobin (HbA1c): decreased by 0.43% (95% CI: -0.74 to -0.13, p = 0.005). …”

S2 File - by Junyin Pan (20700411)

“…The results showed that dietary anthocyanins significantly improved various lipid and glycemic markers:</p><p>HDL-C: increased by 0.05 mmol/L (95% CI: 0.01 to 0.10, p = 0.026), LDL-C: decreased by 0.18 mmol/L (95% CI: -0.28 to -0.08, p = 0.000), Triglycerides (TGs): reduced by 0.11 mmol/L (95% CI: -0.20 to -0.02, p = 0.021), Total cholesterol (TC): lowered by 0.34 mmol/L (95% CI: -0.49 to -0.18, p = 0.000), Fasting blood glucose (FBG): reduced by 0.29 mmol/L (95% CI: -0.46 to -0.12, p = 0.001), Glycated hemoglobin (HbA1c): decreased by 0.43% (95% CI: -0.74 to -0.13, p = 0.005). …”

Fer-1 increased SLC7A11 and Nrf2 expression to resist <i>C. sinensis</i>-induced ferroptosis. by Haoyang Zhang (1706815)

Forest plot. by Junyin Pan (20700411)

Funnel plot. by Junyin Pan (20700411)

Droplet-based microfluidics can be used to model clustered bacterial growth. by Justin Greene (306625)

The concentration of 6-gingerol (A) and 6-shogaol (B) in the ginger extract obtained from conventional maceration and pulsed electric field (PEF) extraction. by Hataichanok Chuljerm (19144293)