Understanding the Role Structural Changes Play in the Formation of Strong and Weak Hydrogen Bonds in Tetramethylalkyldiammonium Dithiocyanate Salts by David J. Wolstenholme (1990108)

“…Structural analyses for a series of tetramethylalkyldiammonium dithiocyanate salts have been carried out on low-temperature and high-resolution X-ray diffraction data. …”

Effects of Solid Precipitation and Surface Corrosion on the Adhesion Strengths of Sintered Hydrate Deposits on Pipe Walls by Chenwei Liu (2603248)

“…On the basis of the verified linear correlation between the hydrate adhesion strength and the adhesion work of droplets on different substrates and the influence of water conversion during deposition, both an equation and a key constant parameter were obtained to predict the sintered hydrate deposit adhesion strengths on substrates.…”

Table1_Effects of Radiation sterilization Dose on the Molecular Weight and Gelling Properties of Commercial Alginate Samples.docx by M. Z. I. Mollah (11526988)

“…Based on the observations, a remarkable decrease in the intrinsic viscosity of all samples of alginates was evident due to the effects of radiation, with a linear relationship between viscosity and concentration in 0.01 M NaCl solution. …”

Effects of Solid Precipitation and Surface Corrosion on the Adhesion Strengths of Sintered Hydrate Deposits on Pipe Walls by Chenwei Liu (2603248)

“…On the basis of the verified linear correlation between the hydrate adhesion strength and the adhesion work of droplets on different substrates and the influence of water conversion during deposition, both an equation and a key constant parameter were obtained to predict the sintered hydrate deposit adhesion strengths on substrates.…”

Table_2_Early onset age increases the risk of musculoskeletal damage in patients with type 2 diabetes.docx by Biao Zheng (22390)

“…With the prolongation of the course of the disease, the risk of muscle mass and/or bone mineral density decrease in EOT2D increases.</p>Conclusion<p>EOT2D brings a greater risk of sarcopenia and/or osteoporosis, as well as a higher risk of reduced ASM and BMD. …”

Table_3_Early onset age increases the risk of musculoskeletal damage in patients with type 2 diabetes.docx by Biao Zheng (22390)

“…With the prolongation of the course of the disease, the risk of muscle mass and/or bone mineral density decrease in EOT2D increases.</p>Conclusion<p>EOT2D brings a greater risk of sarcopenia and/or osteoporosis, as well as a higher risk of reduced ASM and BMD. …”

Effects of Solid Precipitation and Surface Corrosion on the Adhesion Strengths of Sintered Hydrate Deposits on Pipe Walls by Chenwei Liu (2603248)

“…On the basis of the verified linear correlation between the hydrate adhesion strength and the adhesion work of droplets on different substrates and the influence of water conversion during deposition, both an equation and a key constant parameter were obtained to predict the sintered hydrate deposit adhesion strengths on substrates.…”

Data_Sheet_1_Global burden of drug use disorders by region and country, 1990–2021.docx by Shuyan Zhang (426593)

“…Nationally, the United States of America reported the largest increase in age-standardized DALY rates and EAPC for ASIR (EAPC of 4.88, 1.05, respectively), while South Africa had the most significant decrease in EAPC (EAPC of −3.62, −1.52, respectively). …”

Genome-Wide Investigation and Expression Profiling of AP2/ERF Transcription Factor Superfamily in Foxtail Millet (<i>Setaria italica L.</i>) by Charu Lata (5661409)

“…A total of 171 <i>AP2/ERF</i> genes were identified by systematic sequence analysis and were physically mapped onto nine chromosomes. …”

Table_2_Global burden of drug use disorders by region and country, 1990–2021.docx by Shuyan Zhang (426593)

“…Nationally, the United States of America reported the largest increase in age-standardized DALY rates and EAPC for ASIR (EAPC of 4.88, 1.05, respectively), while South Africa had the most significant decrease in EAPC (EAPC of −3.62, −1.52, respectively). …”

Data_Sheet_1_The development and nutritional quality of Lyophyllum decastes affected by monochromatic or mixed light provided by light-emitting diode.docx by Xiaoli Chen (102563)

“…The stipe length, stipe diameter, pileus diameter and the weight of fruiting bodies exposed to RB significantly increased by 8.0, 28.7, 18.3, and 58.2% respectively, compared to the control (p < 0.05). B significantly decreased the stipe length and the weight of fruiting body, with a decrease of 8.5 and 20.2% respectively, compared to the control (p < 0.05). …”

Table_1_Global burden of drug use disorders by region and country, 1990–2021.docx by Shuyan Zhang (426593)

“…Nationally, the United States of America reported the largest increase in age-standardized DALY rates and EAPC for ASIR (EAPC of 4.88, 1.05, respectively), while South Africa had the most significant decrease in EAPC (EAPC of −3.62, −1.52, respectively). …”

Data from: Viviparity does not affect the numbers and sizes of reptile offspring by Shai Meiri (394933)

“…We attribute this paradoxical result to (1) strong selection on optimal offspring sizes, unaffected by parity mode, (2) the lack of a larval stage in amniotes, favouring large eggs even in the ancestral oviparous mode, and (3) the ability of viviparous females to decrease the mass of uterine embryos by reducing extra-embryonic water stores. …”

Functional Performance of Different Venous Limb Options in Simulated Neonatal/Pediatric Cardiopulmonary Bypass Circuits by Luiz Fernando Caneo (4701865)

“…<div><p>Abstract Objective: Hemodilution is a concern in cardiopulmonary bypass (CPB). Using a smaller dual tubing rather than a single larger inner diameter (ID) tubing in the venous limb to decrease prime volume has been a standard practice. …”

Table_1_Left Atrial Enhancement Correlates With Myocardial Conduction Velocity in Patients With Persistent Atrial Fibrillation.DOCX by Rheeda L. Ali (9632819)

“…The magnitude of this change decreased with larger measurement area. Reproducibility of the association was observed with NI, but not with IIR.…”

Table3_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.xlsx by Roberto Martin-Hernandez (3661549)

“…</p><p>Methods: ACC gene expression and DNA methylation datasets were downloaded from the Xena Browser (GDC TCGA Adrenocortical Carcinoma cohort). A highly correlated multi-omics signature discriminating groups of samples was identified with the data integration analysis for biomarker discovery using latent components (DIABLO) method. …”

Table1_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.xlsx by Roberto Martin-Hernandez (3661549)

“…</p><p>Methods: ACC gene expression and DNA methylation datasets were downloaded from the Xena Browser (GDC TCGA Adrenocortical Carcinoma cohort). A highly correlated multi-omics signature discriminating groups of samples was identified with the data integration analysis for biomarker discovery using latent components (DIABLO) method. …”

DataSheet2_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.PDF by Roberto Martin-Hernandez (3661549)

“…</p><p>Methods: ACC gene expression and DNA methylation datasets were downloaded from the Xena Browser (GDC TCGA Adrenocortical Carcinoma cohort). A highly correlated multi-omics signature discriminating groups of samples was identified with the data integration analysis for biomarker discovery using latent components (DIABLO) method. …”

DataSheet1_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.PDF by Roberto Martin-Hernandez (3661549)

“…</p><p>Methods: ACC gene expression and DNA methylation datasets were downloaded from the Xena Browser (GDC TCGA Adrenocortical Carcinoma cohort). A highly correlated multi-omics signature discriminating groups of samples was identified with the data integration analysis for biomarker discovery using latent components (DIABLO) method. …”

DataSheet3_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.PDF by Roberto Martin-Hernandez (3661549)

“…</p><p>Methods: ACC gene expression and DNA methylation datasets were downloaded from the Xena Browser (GDC TCGA Adrenocortical Carcinoma cohort). A highly correlated multi-omics signature discriminating groups of samples was identified with the data integration analysis for biomarker discovery using latent components (DIABLO) method. …”