What is the Impact of Outreach Services on Medication Adherence for COPD Patients? A Systematic Review by Elaine Marron (9753948)

Hospital-wide interventions for reducing or preventing in-hospital prescribing errors: a scoping review by Rashudy Fatiha Mahomedradja (20757685)

Cobalt Hexacyanoferrate on BiVO₄ Photoanodes for Robust Water Splitting by Franziska Simone Hegner (4528177)

“…A bare 10–15% decrease in photocurrent was observed after more than 50 h of operation under light irradiation.…”

Effect of NMT inhibitors on <i>C. elegans</i> growth. by Brendan D. Galvin (592211)

Is thermal stability a factor that influences environmental heterogeneity and phytoplankton distribution in tropical lakes? by Luciana Gomes Barbosa (5139065)

“…Methods Monthly measurements were performed over a five-year period in the vertical profile of a warm monomitic shallow lake (Lago Carioca) and in a deep and meromictic (Lake Dom Helvécio). …”

ESMPE: A combined strategy for school tuberculosis prevention and control proposed by Dalian, China by Xichen Wang (4487926)

“…TB incidence of five monitored schools had a substantial decline after receiving monitoring, and this declining trend continued in 2016. …”

DataSheet1_Understanding the impact of radiotherapy fractionation on overall survival in a large head and neck squamous cell carcinoma dataset: a comprehensive approach combining m... by Igor Shuryak (337356)

“…They revealed that high BED_DD (>61.8 Gy) or BED_DI (>57.6 Gy), but not BED_simp, increased patient restricted mean survival time (RMST) by 0.5-1.0 years and increased survival probability (SP) by 5-15% several years after treatment. …”

Table_1_A low-protein maternal diet during gestation affects the expression of key pancreatic β-cell genes and the methylation status of the regulatory region of the MafA gene in t... by Tonantzin C. Sosa-Larios (14781604)

“…A decrease in the DNA methylation levels was found in the 5' flanking region between nucleotides −8118 to −7750 of the MafA regulatory region in restricted offspring compared with control pancreatic islets. …”

Table_1_Morphological Changes and Expressions of AOX1A, CYP81D8, and Putative PFP Genes in a Large Set of Commercial Maize Hybrids Under Extreme Waterlogging.docx by Anna Panozzo (5872325)

“…The transcript of CYP81D8 (ROS-related proteins) in waterlogged plants exhibited relevant increases or strong decreases in level, depending on the hybrid. The transcript of the AOX1A gene, coding for a mitochondrial respiratory electron transport chain-related protein, was markedly down-regulated in all the treated hybrids. …”

Data Sheet 1_Feasibility and acceptability of a single-session perioperative acceptance and commitment therapy workshop for preventing chronic postsurgical pain: a single-arm, non-... by Jolin B. Yamin (8544489)

“…</p>Methods<p>Forty-five adults (M_age = 64 years) scheduled for SS enrolled and were asked to complete baseline questionnaires, and 28 attended a 5 h virtual ACT workshop, which focused on enhancing psychological flexibility and acceptance. …”

Table_2_Morphological Changes and Expressions of AOX1A, CYP81D8, and Putative PFP Genes in a Large Set of Commercial Maize Hybrids Under Extreme Waterlogging.docx by Anna Panozzo (5872325)

“…The transcript of CYP81D8 (ROS-related proteins) in waterlogged plants exhibited relevant increases or strong decreases in level, depending on the hybrid. The transcript of the AOX1A gene, coding for a mitochondrial respiratory electron transport chain-related protein, was markedly down-regulated in all the treated hybrids. …”

Patterns of avian haemosporidian infections vary with time, but not habitat, in a fragmented Neotropical landscape by Juan Rivero de Aguilar (5917271)

“…<div><p>Habitat loss has the potential to alter vertebrate host populations and their interactions with parasites. Theory predicts a decrease in parasite diversity due to the loss of hosts in such contexts. …”

The detection results of different methods. by Yulu Zhang (1774471)

“…According to the experimental results, the recognition accuracy rate of the improved model is 95.2%, with a model size of 7.9M. Compared with YOLOv7, the GFLOPs are reduced by 54.5%, the model size is compressed by 37.8%, and the accuracy is improved by 4.9%. …”

The network architecture of GSConv. by Yulu Zhang (1774471)

“…According to the experimental results, the recognition accuracy rate of the improved model is 95.2%, with a model size of 7.9M. Compared with YOLOv7, the GFLOPs are reduced by 54.5%, the model size is compressed by 37.8%, and the accuracy is improved by 4.9%. …”

Comparison speed at Jetson Nano. by Yulu Zhang (1774471)

“…According to the experimental results, the recognition accuracy rate of the improved model is 95.2%, with a model size of 7.9M. Compared with YOLOv7, the GFLOPs are reduced by 54.5%, the model size is compressed by 37.8%, and the accuracy is improved by 4.9%. …”

The precision-recall curve of our model. by Yulu Zhang (1774471)

“…According to the experimental results, the recognition accuracy rate of the improved model is 95.2%, with a model size of 7.9M. Compared with YOLOv7, the GFLOPs are reduced by 54.5%, the model size is compressed by 37.8%, and the accuracy is improved by 4.9%. …”

The network architecture of VOVGSCSP. by Yulu Zhang (1774471)

“…According to the experimental results, the recognition accuracy rate of the improved model is 95.2%, with a model size of 7.9M. Compared with YOLOv7, the GFLOPs are reduced by 54.5%, the model size is compressed by 37.8%, and the accuracy is improved by 4.9%. …”

SE network architecture. by Yulu Zhang (1774471)

“…According to the experimental results, the recognition accuracy rate of the improved model is 95.2%, with a model size of 7.9M. Compared with YOLOv7, the GFLOPs are reduced by 54.5%, the model size is compressed by 37.8%, and the accuracy is improved by 4.9%. …”

Structure diagram of the DSC-SE module. by Yulu Zhang (1774471)

“…According to the experimental results, the recognition accuracy rate of the improved model is 95.2%, with a model size of 7.9M. Compared with YOLOv7, the GFLOPs are reduced by 54.5%, the model size is compressed by 37.8%, and the accuracy is improved by 4.9%. …”

Configuration of the experimental environment. by Yulu Zhang (1774471)

“…According to the experimental results, the recognition accuracy rate of the improved model is 95.2%, with a model size of 7.9M. Compared with YOLOv7, the GFLOPs are reduced by 54.5%, the model size is compressed by 37.8%, and the accuracy is improved by 4.9%. …”