High initiation rates decrease protein output of stall-containing <i>S</i>. <i>cerevisiae</i> mRNAs. by Heungwon Park (3859507)

The serotonin biosynthetic enzyme TPH-1 is required in chemosensory neurons to inhibit the Dar phenotype and decrease pathogen clearance rates. by Alexandra Anderson (97972)

ROC plots for comparison of 3D classifiers to sequence-based prediction shows significant decrease of false-positive rates. by Jasmin F. Sydow (588118)

ABCA1 mRNA and protein decrease in J774 macrophages following CER-001 and HDL3 incubation. by Claudine Tardy (555707)

Supplementary Material for: Anti-Vascular Endothelial Growth Factor Treatment Outcomes in Macular Telangiectasia: A Systematic Review by figshare admin karger (2628495)

“…Purpose: To assess clinical outcomes of anti-vascular endothelial growth factor agents (anti-VEGF) for patients with Macular Telangiectasia (MacTel). Methods: A systematic literature search on Ovid MEDLINE, Embase, and Cochrane Library was performed from inception to June 2024 for comparative studies on anti-VEGF agents in MacTel. …”

DataSheet_2_Causality of genetically proxied immunophenotypes on cardiovascular diseases: a Mendelian randomization study.docx by Xuehan Wang (10590882)

“…Increased levels of IgD- CD38dim absolute count were associated with a higher susceptibility to AF, while increased expression of CD14+ CD16+ monocytes, CD62L on CD62L+ myeloid dendritic cells, and CD16 on CD14- CD16+ monocytes were linked to a decreased susceptibility to AF. …”

DataSheet_1_Causality of genetically proxied immunophenotypes on cardiovascular diseases: a Mendelian randomization study.xlsx by Xuehan Wang (10590882)

“…Increased levels of IgD- CD38dim absolute count were associated with a higher susceptibility to AF, while increased expression of CD14+ CD16+ monocytes, CD62L on CD62L+ myeloid dendritic cells, and CD16 on CD14- CD16+ monocytes were linked to a decreased susceptibility to AF. …”

Upf1 and exonuclease Xrn1 contribute to the decrease in ribosomal protein pre-mRNA during osmotic stress. by Elena Garre (5136275)

Prevalence of tetracycline resistant isolates that do not carry <i>tet</i>A or <i>tet</i>B genes in fecal <i>Escherichia coli</i> in steers fed diets supplemented with or without 0... by C. C. Aperce (3605876)

Silibinin reverses CEES-induced decrease in live cell number, and increase in apoptotic and necrotic cell death in skin cells. by Neera Tewari-Singh (305325)

Antibiotic treatment partially rescues the decrease in lifespan but not enterocyte cell death due to loss of <i>dMyc</i>. by Kazutaka Akagi (5920238)

Optimization of Linear Loading Strategy for Fuel Cell Initiation Based on Gaussian Process Regression Model (Supporting Information) by Jianbin SU (19730371)

“…The relationship between these variables and performance metrics such as voltage, start-up time (The time required from the loading start to the successful start-up), and voltage variation is characterized by an initial increase followed by a subsequent decrease as the loading rate climbs. …”

Data Sheet 1_Bio-functional hydrogel coated membranes to decrease T-cell exhaustion in manufacturing of CAR T-cells.docx by Aida López Ruiz (21611177)

“…To address this need, in this work, we utilized a bioinspired, scalable, tunable platform to direct T-cell activation and decrease exhaustion during CAR T production.…”

Deletion of <i>sem1</i> promotes decrease in the total ubiquitin-conjugates and destabilization of the Rpn11 deubiquitinating enzyme. by Miriam Kolog Gulko (629000)

“…<p><b>(A)</b> Significant decrease in polyubiquitylated substrates upon deleting <i>sem1</i>. …”

Data_Sheet_1_How can green credit decrease social health costs? The mediating effect of the environment.pdf by Yanbo Rong (14481972)

“…This paper discusses the impact path of green credit on social health costs with the help of a quantile regression. The implementation of a green credit policy can decrease social health costs in China, and green credit works best in the economically developed Eastern region. …”

Association between Polymorphisms in the Promoter Regions of Matrix Metalloproteinases (MMPs) and Risk of Cancer Metastasis: A Meta-Analysis by Dan Liu (108669)

“…In subgroup analysis based on cancer type, associations were found in head/neck and breast cancer under the recessive model, and also in breast cancer under the dominant model. For <em>MMP3 (−1171) 5A/6A</em>, the polymorphism decreased the overall risk of metastasis under two genetic models (recessive: OR = 0.80, 95%CI = 0.64–0.99, dominant: OR = 0.72, 95%CI = 0.56–0.93). …”

Image_5_Exploring the Spatial-Temporal Microbiota of Compound Stomachs in a Pre-weaned Goat Model.TIF by Yu Lei (266919)

“…By filtering operational taxonomic units (OTUs) in NC, distinct temporal distributions of microbes were observed in the different compartments, we showed that the OTUs in control samples had a large effect to the samples with low microbial density. …”

Designing a trapping strategy to aid Giant African Snail (<i>Lissachatina fulica</i>) eradication programs by Amy Roda (3353027)

“…Two trap types and the commercial bait were selected for a large-scale program test. For three months, trapping along with hand collection and pesticide application were conducted on 114 properties in five locations. …”

Table_4_Exploring the Spatial-Temporal Microbiota of Compound Stomachs in a Pre-weaned Goat Model.XLS by Yu Lei (266919)

“…By filtering operational taxonomic units (OTUs) in NC, distinct temporal distributions of microbes were observed in the different compartments, we showed that the OTUs in control samples had a large effect to the samples with low microbial density. …”

Associations between physician home visits for the dying and place of death: A population-based retrospective cohort study by Peter Tanuseputro (712750)

“…After adjustment for multiple factors–including patient illness, home care services, and days of being at home–receiving at least one physician home visit from a non-palliative care physician was associated with a 47% decreased odds (odds-ratio, 0.53; 95%CI: 0.51–0.55) of dying in a hospital. …”