Data Sheet 6_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.csv by Xiuping Xuan (8686266)

“…Additionally, drugs prediction analysis revealed 2(S)-amino-6-boronohexanoic acid, difluoromethylornithine, and compound 9 could target ARG2, while metformin was a candidate drug for SCL2A2. Finally, all five genes were confirmed to be decreased in MIN6 cells treated with high glucose and palmitic acid.…”

Data Sheet 3_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.csv by Xiuping Xuan (8686266)

“…Additionally, drugs prediction analysis revealed 2(S)-amino-6-boronohexanoic acid, difluoromethylornithine, and compound 9 could target ARG2, while metformin was a candidate drug for SCL2A2. Finally, all five genes were confirmed to be decreased in MIN6 cells treated with high glucose and palmitic acid.…”

Data Sheet 2_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.csv by Xiuping Xuan (8686266)

“…Additionally, drugs prediction analysis revealed 2(S)-amino-6-boronohexanoic acid, difluoromethylornithine, and compound 9 could target ARG2, while metformin was a candidate drug for SCL2A2. Finally, all five genes were confirmed to be decreased in MIN6 cells treated with high glucose and palmitic acid.…”

Image 1_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.jpeg by Xiuping Xuan (8686266)

“…Additionally, drugs prediction analysis revealed 2(S)-amino-6-boronohexanoic acid, difluoromethylornithine, and compound 9 could target ARG2, while metformin was a candidate drug for SCL2A2. Finally, all five genes were confirmed to be decreased in MIN6 cells treated with high glucose and palmitic acid.…”

Image 3_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.jpeg by Xiuping Xuan (8686266)

“…Additionally, drugs prediction analysis revealed 2(S)-amino-6-boronohexanoic acid, difluoromethylornithine, and compound 9 could target ARG2, while metformin was a candidate drug for SCL2A2. Finally, all five genes were confirmed to be decreased in MIN6 cells treated with high glucose and palmitic acid.…”

DataSheet1_D-Cysteine Ethyl Ester Reverses the Deleterious Effects of Morphine on Breathing and Arterial Blood–Gas Chemistry in Freely-Moving Rats.docx by Paulina M. Getsy (11465254)

Upshift of Phase Transition Temperature in Nanostructured PbTiO₃ Thick Film for High Temperature Applications by Jungho Ryu (1587565)

“…A large-signal effective <i>d</i>_33,eff value of >60 pm/V is achieved at room temperature. …”

Upshift of Phase Transition Temperature in Nanostructured PbTiO₃ Thick Film for High Temperature Applications by Jungho Ryu (1587565)

“…A large-signal effective <i>d</i>_33,eff value of >60 pm/V is achieved at room temperature. …”

Upshift of Phase Transition Temperature in Nanostructured PbTiO₃ Thick Film for High Temperature Applications by Jungho Ryu (1587565)

“…A large-signal effective <i>d</i>_33,eff value of >60 pm/V is achieved at room temperature. …”

Additional file 3 of Sub-minute acquisition with deep learning-based image filter in the diagnosis of colorectal cancers using total-body 18F-FDG PET/CT by Entao Liu (385423)

Intracellular Zn2+ Promotes Extracellular Matrix Remodeling in Dexamethasone-Treated Trabecular Meshwork by ying Liu (18009823)

Growth and contents of organic and inorganic solutes in amaranth under salt stress by Renata Velasques Menezes (10448393)

Pain evaluation in newborns using the Neonatal Facial Activity Coding scale during blood gases analysis by Isis de Oliveira Pinheiro (10477598)

After 48 h of incubation IFNγ dose-dependently induced an arrest in the S-phase of the cell cycle of BON cells by Michael Höpfner (56461)

After 48 h of incubation IFNγ dose-dependently induced an arrest in the S-phase of the cell cycle of BON cells by Michael Höpfner (56461)

SURVIVAL MECHANISMS OF Fusarium oxysporum f. sp. passiflorae ARE AFFECTED BY APPLICATION OF CABBAGE AND CASSAVA DEBRIS by JOYSE BRITO VIEIRA (13289104)

Lipid production in Dunaliella bardawil under autotrophic, heterotrophic and mixotrophic conditions by Zohreh Zare Chavoshi (7577744)

Study the effect of replacing the skim milk used in making ice cream with some dried fruit by Ghanim Mahmood HASAN (10464575)

Assimetria na Transmissão de Preços e Poder de Mercado: o caso do mercado varejista de etanol no estado de São Paulo by Jaqueline Zani dos Santos (10434590)

Participation Dynamics in Population-Based Longitudinal HIV Surveillance in Rural South Africa by Joseph Larmarange (361177)

“…Although the yearly participation rates were relatively modest (26% to 46%), cumulative rates increased substantially with multiple recruitment opportunities: 68% of eligible persons participated at least once, 48% at least twice and 31% at least three times after five survey rounds. We identified two types of study fatigue: at the individual level, contact and consent rates decreased with multiple recruitment opportunities and, at the population level, these rates also decreased over calendar time, independently of multiple recruitment opportunities. …”