Data Sheet 1_Renewable energy consumption optimization allocation strategy for a regional microgrid based on a shared energy storage mechanism.zip by Hongde Ma (20137539)

“…The research results show that after configuring shared energy storage, the operating cost of the regional microgrid system decreases by 15.12%, the new energy consumption rate increases to 97.44%, and the shared energy storage service provider can recover the investment cost within 4.62 years. …”

Flexible Microfluidic Devices for Tunable Formation of Double Emulsion by Uditha Roshan (20841937)

“…We demonstrated that stretching increases the core size and shell thickness and decreases the generation frequency. …”

Flexible Microfluidic Devices for Tunable Formation of Double Emulsion by Uditha Roshan (20841937)

“…We demonstrated that stretching increases the core size and shell thickness and decreases the generation frequency. …”

Flexible Microfluidic Devices for Tunable Formation of Double Emulsion by Uditha Roshan (20841937)

“…We demonstrated that stretching increases the core size and shell thickness and decreases the generation frequency. …”

Flexible Microfluidic Devices for Tunable Formation of Double Emulsion by Uditha Roshan (20841937)

“…We demonstrated that stretching increases the core size and shell thickness and decreases the generation frequency. …”

Flexible Microfluidic Devices for Tunable Formation of Double Emulsion by Uditha Roshan (20841937)

“…We demonstrated that stretching increases the core size and shell thickness and decreases the generation frequency. …”

Flexible Microfluidic Devices for Tunable Formation of Double Emulsion by Uditha Roshan (20841937)

“…We demonstrated that stretching increases the core size and shell thickness and decreases the generation frequency. …”

Flexible Microfluidic Devices for Tunable Formation of Double Emulsion by Uditha Roshan (20841937)

“…We demonstrated that stretching increases the core size and shell thickness and decreases the generation frequency. …”

Data Sheet 1_Impact of fatigue in Crohn's disease is negatively related to resting state functional connectivity between the superior parietal lobule and parahippocampal gyrus/hipp... by Theresa A. McIver (21178337)

“…</p>Discussion<p>In people with Crohn's disease, fatigue increases as functional connectivity between brain regions involved in sensorimotor integration and memory processing decreases.…”

Data Sheet 1_Efficacy of antioxidant intervention and exercise intervention for lipid peroxidation in dialysis patients: a meta-analysis.zip by Mengyuan Yu (3568580)

“…Curcumin supplementation significantly reduced Ox-LDL levels (p = 0.03). Exercise intervention decreased MDA levels (p < 0.0001). …”

Table 1_Aerobic exercise ameliorates atherosclerosis-induced cognitive impairment via hippocampal IL-33/NF-κB signaling modulation.xlsx by Jianwei Peng (811819)

“…Exercise intervention also decreased IL-33 expression in the hippocampus and inhibited NF-κB and IκBα phosphorylation. …”

Data Sheet 1_Aerobic exercise ameliorates atherosclerosis-induced cognitive impairment via hippocampal IL-33/NF-κB signaling modulation.xlsx by Jianwei Peng (811819)

“…Exercise intervention also decreased IL-33 expression in the hippocampus and inhibited NF-κB and IκBα phosphorylation. …”

Supplementary file 2_Quantile regression application to identify key determinants of malnutrition in five West African countries of Gabon, Gambia, Liberia, Mauritania, and Nigeria.... by Reshav Beni (21422981)

“…</p>Method<p>This study employed a quantile regression model to examine the determinants of malnutrition at various quantiles of interest across the Western African countries under consideration to facilitate focused policy measures and intervention strategies aimed at decreasing the prevalence.</p>Results<p>For the lower quantiles (0.1 and 0.25), which indicate severe malnutrition, significant variables included the child’s weight [quantile = 0.1, 95% CI(0.0063, 0.0103), quantile = 0.25, 95% CI(0.0054, 0.0107)], mother’s education level [No education: quantile = 0.1, 95% CI(−49.7471, −32.1376), quantile = 0.25, 95% CI(−38.1513, −22.4438) Primary: quantile = 0.1, 95% CI(−24.8095, −5.7693), quantile = 0.25, 95% CI(−19.5273, −6.3424) Higher: quantile = 0.1, 95% CI(5.6499, 40.3274), quantile = 0.25, 95% CI(21.8158, 40.278)], drinking water source [Natural Sources: quantile = 0.1, 95% CI(0.6877, 24.384),Piped: quantile = 0.1, 95% CI(25.578, 45.2368), quantile = 0.25, 95% CI(22.2782, 34.8212), Bottle/Sachet: quantile = 0.25, 95% CI(3.438, 98.1675)], toilet type [Flush: quantile = 0.25, 95% CI(2.2598, 18.3457),Other: quantile = 0.1, 95% CI(8.7863, 24.504), quantile = 0.25, 95% CI(7.0995, 20.1119)], household wealth index [Poorest: quantile = 0.1, 95% CI(−52.5112, −16.9197), quantile = 0.25, 95% CI(−48.3804, −23.0633),Poorer: quantile = 0.1, 95% CI(−38.8744, −4.7586), quantile = 0.25, 95% CI(−34.6993, −9.1766), Middle: quantile = 0.25, 95% CI(−28.9491, −6.5834)], health care visits [No: quantile = 0.1, 95% CI(−19.293, −3.6393), quantile = 0.25, 95% CI(−17.2342, −5.6411)], consumption of fortified foods and tubers [No: quantile = 0.1, 95% CI(−36.3898, −12.0378), quantile = 0.25, 95% CI(−17.8127, −1.2374)], anemia status [Anemic: quantile = 0.1, 95% CI(−15.9326, −1.1929), quantile = 0.25, 95% CI(−12.3361, −1.5516)], mosquito net usage [No: quantile = 0.1, 95% CI(−22.0323, −0.8033), quantile = 0.25, 95% CI(−13.8107, 1.1366)], child’s age [0 to 12 months: quantile = 0.1, 95% CI(81.6424, 105.7155), quantile = 0.25, 95% CI(61.4817, 78.5194),12 to 24 months: quantile = 0.1, 95% CI(0.5592, 24.933), 24 to 36 months: quantile = 0.1, 95% CI(7.9128, 40.2828)] and gender [Female: quantile = 0.1, 95% CI(4.5351, 17.9783), quantile = 0.25, 95% CI(5.0076, 15.4735)], and recent fever [No: quantile = 0.1, 95% CI(11.5663, 29.5984), quantile = 0.25, 95% CI(7.0313, 20.8918)]. …”

Supplementary file 1_Quantile regression application to identify key determinants of malnutrition in five West African countries of Gabon, Gambia, Liberia, Mauritania, and Nigeria.... by Reshav Beni (21422981)

“…</p>Method<p>This study employed a quantile regression model to examine the determinants of malnutrition at various quantiles of interest across the Western African countries under consideration to facilitate focused policy measures and intervention strategies aimed at decreasing the prevalence.</p>Results<p>For the lower quantiles (0.1 and 0.25), which indicate severe malnutrition, significant variables included the child’s weight [quantile = 0.1, 95% CI(0.0063, 0.0103), quantile = 0.25, 95% CI(0.0054, 0.0107)], mother’s education level [No education: quantile = 0.1, 95% CI(−49.7471, −32.1376), quantile = 0.25, 95% CI(−38.1513, −22.4438) Primary: quantile = 0.1, 95% CI(−24.8095, −5.7693), quantile = 0.25, 95% CI(−19.5273, −6.3424) Higher: quantile = 0.1, 95% CI(5.6499, 40.3274), quantile = 0.25, 95% CI(21.8158, 40.278)], drinking water source [Natural Sources: quantile = 0.1, 95% CI(0.6877, 24.384),Piped: quantile = 0.1, 95% CI(25.578, 45.2368), quantile = 0.25, 95% CI(22.2782, 34.8212), Bottle/Sachet: quantile = 0.25, 95% CI(3.438, 98.1675)], toilet type [Flush: quantile = 0.25, 95% CI(2.2598, 18.3457),Other: quantile = 0.1, 95% CI(8.7863, 24.504), quantile = 0.25, 95% CI(7.0995, 20.1119)], household wealth index [Poorest: quantile = 0.1, 95% CI(−52.5112, −16.9197), quantile = 0.25, 95% CI(−48.3804, −23.0633),Poorer: quantile = 0.1, 95% CI(−38.8744, −4.7586), quantile = 0.25, 95% CI(−34.6993, −9.1766), Middle: quantile = 0.25, 95% CI(−28.9491, −6.5834)], health care visits [No: quantile = 0.1, 95% CI(−19.293, −3.6393), quantile = 0.25, 95% CI(−17.2342, −5.6411)], consumption of fortified foods and tubers [No: quantile = 0.1, 95% CI(−36.3898, −12.0378), quantile = 0.25, 95% CI(−17.8127, −1.2374)], anemia status [Anemic: quantile = 0.1, 95% CI(−15.9326, −1.1929), quantile = 0.25, 95% CI(−12.3361, −1.5516)], mosquito net usage [No: quantile = 0.1, 95% CI(−22.0323, −0.8033), quantile = 0.25, 95% CI(−13.8107, 1.1366)], child’s age [0 to 12 months: quantile = 0.1, 95% CI(81.6424, 105.7155), quantile = 0.25, 95% CI(61.4817, 78.5194),12 to 24 months: quantile = 0.1, 95% CI(0.5592, 24.933), 24 to 36 months: quantile = 0.1, 95% CI(7.9128, 40.2828)] and gender [Female: quantile = 0.1, 95% CI(4.5351, 17.9783), quantile = 0.25, 95% CI(5.0076, 15.4735)], and recent fever [No: quantile = 0.1, 95% CI(11.5663, 29.5984), quantile = 0.25, 95% CI(7.0313, 20.8918)]. …”

Table 1_Evolving landscape of female cancers along with attributable risk factors in China from 1990 to 2021, and projections to 2040.xlsx by Yali Han (4676677)

“…Cervical cancer saw a slight increase in ASIR (EAPC: 0.88), a substantial increase in ASPR (EAPC: 2.50), but decreases in ASMR and ASDR (EAPC: −1.05 and −1.07). …”

Data Sheet 1_Evolving landscape of female cancers along with attributable risk factors in China from 1990 to 2021, and projections to 2040.pdf by Yali Han (4676677)

“…Cervical cancer saw a slight increase in ASIR (EAPC: 0.88), a substantial increase in ASPR (EAPC: 2.50), but decreases in ASMR and ASDR (EAPC: −1.05 and −1.07). …”

Table 2_Evolving landscape of female cancers along with attributable risk factors in China from 1990 to 2021, and projections to 2040.xlsx by Yali Han (4676677)

“…Cervical cancer saw a slight increase in ASIR (EAPC: 0.88), a substantial increase in ASPR (EAPC: 2.50), but decreases in ASMR and ASDR (EAPC: −1.05 and −1.07). …”

Ultimate Lateral resistance of Tetrapod Pile Foundation in Rate-dependent and Strain-softening Clay by Zi-hao Zhao (21085578)

“…The results show that the ultimate lateral resistance gradually decreases with <b>a reduction in</b> strain-dependent parameters. …”

Investigating Eye Temperature as a Potential Biomarker for Emotion in Thoroughbred Horses by Ella Baird (22459603)

“…Results indicated that the ET of horses in the low probability scenario significantly decreased (p < 0.005), whilst the ET of horses in the high predictability scenario showed no significant changes. …”

Relating the biophysical forces that govern bacterial adhesion to experimental data. by Mikkel Anbo (15287803)

“…In the absence of EDTA, adhesion of both strains increases as pH decreases. The electrostatic repulsion between the negatively charged substrate and bacteria is reduced, as negatively charged phosphates in the LPS become increasingly protonated at decreasing pH. …”