An example time series obtained from one rat in the SNP protocol. by Aimi Yokoi (16819464)

“…<p>CSP was changed in a stepwise manner with a step duration of 60 s. …”

Immunofluorescent staining of TRPV1 and analysis of its expression pattern in DRG neurons at varying time points after the establishment of DMA. by Yuan-Yuan Cui (541093)

“…<b>G</b>, histogram for size distribution of TRPV1-IR neurons. Note the decreased distribution of TRPV1 in neurons with cross-sectional area larger than 400–500 and increased distribution of this protein within the range of 100–400 µm² (n = 4–6). …”

A schematic view of ACS. by Mohammed Qasim Shaheen (21417079)

“…These findings point out to a substantial possibility for lowering thermal emissions and increasing energy efficiency, and that provides a long-term way to use waste energy in automobiles.…”

The impact of excessive DNA amounts used for bisulfite conversion on the amplification efficiency and the methylation level of <i>LINE-1</i> and <i>Alu</i>. by Trang Thi Quynh Tran (20485595)

“…The ΔCT values significantly differ at input amounts from 500 ng to 0.5 ng. (<b>D, E</b>) An increase in methylation level of <i>LINE-1</i> (D) and <i>Alu</i> (E) was associated with a decrease in DNA input for bisulfite conversion. …”

Identification of a sniffing signature. by Romain Fayat (22404831)

Spatial Quantification of Microstructural Degradation during Fast Charge in 18650 Lithium-Ion Batteries through Operando X‑ray Microtomography and Euclidean Distance Mapping by Eva Allen (13863100)

“…Two 18650 batteries were measured during cycling after antecedent fast charging cycles to track morphological damage at different points of battery life. A method of deep learning segmentation was used to objectively quantify the electrode degradation. …”

Spatial Quantification of Microstructural Degradation during Fast Charge in 18650 Lithium-Ion Batteries through Operando X‑ray Microtomography and Euclidean Distance Mapping by Eva Allen (13863100)

“…Two 18650 batteries were measured during cycling after antecedent fast charging cycles to track morphological damage at different points of battery life. A method of deep learning segmentation was used to objectively quantify the electrode degradation. …”

Predicting inadequate postoperative pain management in depressed patients: A machine learning approach by Arjun Parthipan (6307895)

“…The primary outcome was the difference between preoperative pain score and postoperative pain at discharge, 3-week and 8-week time points. We developed computational models to predict the increase or decrease in the postoperative pain across the 3 time points by using the patient’s EHR data (e.g. medications, vitals, demographics) captured before surgery. …”

Comparison between fitted model (solid lines) and data (markers) at the whole lung scale (a) and in three example grids from row 11, columns 3, 5, and 8, which are at different ele... by Monica E. Shapiro (22622240)

Mst1 knockout skewed macrophage polarization toward a proinflammatory and profibrotic phenotype with concomitant down-regulation of CD36. by Jianyang Li (461703)

Rainfall during calibration and validation period (upper panel), modelled discharge when calibrating and validating on scenario a1 (middle panel) and on b2 (lower panel). by Fabian Mitze (21084251)

Rainfall during calibration and validation period (upper panel), modelled discharge when calibrating and validating on scenario a28 (middle panel) and on b28 (lower panel). by Fabian Mitze (21084251)

Fabrication of Recyclable Polyisoprene Elastomers with Tuneable Mechanical Properties by Incorporating Dynamic Bonds and Separated Polystyrene Phase by Meijuan Xie (8427819)

“…The experimental results show that the flow of PS phases above <i>T</i>_g,PS effectively accelerates the rearrangement of dynamic covalent networks, so that the exchange activation energy (<i>E</i>_a) and topological freezing transition temperature (<i>T</i>_v) of the samples decrease with the increase of the PS phase content, giving the samples superior recyclability and self-healing ability. …”

Sholl analysis of intersections, branching points, tips, and dendritic lengths made by white and gray matter astrocytes in SIB and control animals. by Kim M. Lee (437943)

S2 File - by Alejandro Valencia (16007329)

“…Using the RAMP Hybrid method, we estimate 264,516 [95% confidence interval [CI], 223,506–307,577] premature deaths attributable to PM_2.5 from all sources, a ~1% overall decrease in CMAQ-estimated premature mortality compared to RAMP Hybrid, despite increases and decreases in some locations. …”

Fig 2 - by Marc S. Penn (16624541)

Net difference in premature mortality for PM_2.5 and NO₂ between models with varying resolution vs distance from primary road. by Alejandro Valencia (16007329)

Mutations at S1/S2 site reduce SARS-CoV-2 S cleavage. by Prerna Arora (821926)

Data_Sheet_1_Xylanase Supplementation Modulates the Microbiota of the Large Intestine of Pigs Fed Corn-Based Fiber by Means of a Stimbiotic Mechanism of Action.pdf by Amy L. Petry (10042069)

“…<p>This research tested the hypothesis that xylanase modulates microbial communities within the large intestine of growing pigs fed corn-based fiber through a stimbiotic mechanism(s) of action (MOA). Sixty gilts were blocked by initial body weight, individually housed, and randomly assigned to one of four dietary treatments (n = 15): a low-fiber (LF) control, a high-fiber (HF) control containing 30% corn bran, HF+100 mg/kg xylanase (HF+XY), and HF+50 mg/kg arabinoxylan-oligosaccharide (HF+AX). …”

Table_2_Alterations of Total Serum Immunoglobulin Concentrations in Pemphigus and Pemphigoid: Selected IgG2 Deficiency in Bullous Pemphigoid.docx by Stanislav Khil'chenko (9333356)

“…With the exception of one study, pointing toward a decrease of IgG in pemphigus patients, with a relative enrichment of IgG4, serum immunoglobulin (Ig) concentrations had not been studied in pemphigus and pemphigoid. …”