Table_2_Elimination of the Sugar Transporter GAT1 Increased Xylanase I Production in Trichoderma reesei.DOCX by Wenqiang Xu (4668949)

ALT-PTK6 inhibits the growth of PC3 prostate tumor cells. by Patrick M. Brauer (226033)

Tunable Magnetic and Electrical Properties of Cobalt and Zinc Ferrites CO1-XZnXFe2O4 Synthesized by Combustion Route by Saulo Gregory Carneiro Fonseca (4957522)

Tunable Magnetic and Electrical Properties of Cobalt and Zinc Ferrites CO1-XZnXFe2O4 Synthesized by Combustion Route by Saulo Gregory Carneiro Fonseca (4957522)

Effect of MtF expression on cell viability after treatment with H₂O₂. by Ligang Wang (347845)

Self-Powered Viscosity and Pressure Sensing in Microfluidic Systems Based on the Piezoelectric Energy Harvesting of Flowing Droplets by Zhao Wang (145195)

Video1_Spectral Asymmetry of Near-Concentric Traveling Ionospheric Disturbances Due to Doppler-Shifted Atmospheric Gravity Waves.MP4 by Irfan Azeem (11169684)

QUANTIFICATION OF NEURAL ELEMENTS IN POSTERIOR CRUCIATE LIGAMENT: COMPARISON BETWEEN HEALTHY KNEES AND WITH PRIMARY OSTEOARTHROSIS by MARCELO PARENTE OLIVEIRA (12679956)

Total annual costs. by Josep Darbà (6428639)

Variation of the leaf contents regarding the xanthophylls cycle components. by José C. Ramalho (493978)

Effect of Temperature Treatment on Electrical Property, Crystal Structures and Lattice Strains of Precipitated CaCO3 Nanoparticles by Panya Khaenamkaew (8527536)

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.…”

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.…”

Endogenous differences in I/OHC NADH metabolism. by Heather C. Jensen-Smith (319902)

“…Absolute increases in NADH Fl during maximum NADH reduction (NaCN, n = 8) were similar for apical I/OHCs while maximum NADH oxidation (FCCP, n = 6) caused a greater decrease in NADH Fl in apical OHCs than in apical IHCs (t(10)<b> = </b>4.49, p<0.01). …”

Effect of Bcl-x gene knockout on <i>in vitro</i> migration and invasion of tumor cells. by Jeffrey H. Hager (267276)

“…CoCl₂ treatment resulted in a significant decrease in invasion of βTC-Bcl-x-KO cells compared to wild-type cells (P = 0.005). …”

(-)-Epigallocatechin-3-gallate encapsulated realgar nanoparticles exhibit enhanced anticancer therapeutic efficacy against acute promyelocytic leukemia by Wei Fang (116739)

“…In a solid tumor model, EGCG-RNPs decreased tumor volumes, with an inhibitory rate of 60.18% at a dose of 70 mg · kg⁻¹. …”

Data_Sheet_1_Strongly Bent Double-Stranded DNA: Reconciling Theory and Experiment.pdf by Aleksander V. Drozdetski (8058689)

Supplementary Material for: Motor Function Deficits in the Estrogen Receptor Beta Knockout Mouse: Role on Excitatory Neurotransmission and Myelination in the Motor Cortex by Varshney M.K. (8503950)

Image 2_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.…”

Data Sheet 1_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.…”