Comparison of whole genome prediction accuracy across generations using parametric and semi parametric methods by Abbas Atefi (10414497)

“…There was no significant difference between accuracy of investigated methods (p > 0.05) but among three methods, the highest mean accuracy (0.659) was observed for BayesA. By increasing the heritability, the average genomic accuracy increased from 0.53 to 0.75 (p < 0.05). …”

All control strategies can create reversals in the chain, but with varying levels of success. by Evelyn Hamilton (7886261)

“…<p>Decreasing the coupling between sections of the chains increases the probability of a reversal in direction. …”

Spatio-temporal profiling of public transport delays based on large scale vehicle positioning data from GPS in Wrocław by Piotr Szymański (2809177)

Evaluation of Indigo carmine on hepatic ischemia and reperfusion injury by Eduardo Alexandre Rancan (10394206)

Epiduroscopy in spinal stenosis. Description of the procedure and safety measures to reduce complications by Eva M. Monzón (22208026)

Supplementary data for: Lack of Age-related Respiratory Changes in Daphnia by Lev Yampolsky (9644534)

InsR/FoxO1 Signaling Curtails Hypothalamic POMC Neuron Number by Leona Plum (27116)

TOP1α and UPF1 directly repress <i>TTG2</i>. by Chengxiang Li (5278343)

“…<p>(A) <i>TTG2</i> expression in pistils (left panel) or pollens (right panel) in different genetic backgrounds. …”

Western blot analysis of hippocalcin in glutamate-exposed neurons. by Dong-Ju Park (17300283)

“…<p>Hippocalcin expression decreases in hippocalcin siRNA-transfected cells. Western blot analysis of hippocalcin (A) in glutamate (Glu)- and/or epigallocatechin gallate (EGCG)-treated hippocampal neuronal cells (HT22) in non- and hippocalcin siRNA-transfected cells. …”

Chronic hyperglycemia alters the β-cell specific gene expression in pancreatic islets. by In-Su Cho (174455)

“…<p>(<b>A</b>) Rat islet cells were cultured in the presence of 5 mM or 30 mM glucose for 8 days, and stimulated with 15 mM glucose for 0–6 h after 2 h preconditioning in 5 mM glucose. …”

The spatial distribution of Bgs4 in <i>ync13</i><i>Δ</i> cells depends on Rng10. by Sha Zhang (390000)

“…Arrows in <b>(A)</b> mark Ags1 concentrated at the center of the division plane after ring constriction and in <b>(B)</b> mark decreased Bgs4 level at the septal edges. …”

p21^Waf1/CIP1 knockdown inhibits early keratinocyte differentiation of organotypic keratinocyte raft cultures. by Ping-Pui Wong (255056)

“…<p>HFKs were transiently tranfected with p21^Waf1/Cip1 targeting siRNA molecules. (<b>A</b>) Immunoblotting of the whole cell lysates with p21^Waf'1/CIP1 antibody shows that both siRNA molecules, sip21^Waf'1/CIP1A and sip21^Waf'1/CIP1B, were able to knockdown p21^Waf'1/CIP1 protein levels efficiently (∼90%) (<b>B</b>) Western blot shows p21^Waf1/CIP1 depletion with sip21^Waf1/CIP1 A and a decreased in K1 levels after 48 hours of differentiation. …”

Training of 2D models. by Yongrong Qiu (15348165)

“…SI-PCA and SI-DCT yielded best performance when using 16 and 4 bases, respectively (each model for n = 10 random seeds; error bars represent 2.5 and 97.5 percentiles with bootstrapping). <b>c.…”

Supplementary file 1_Investigating the feasibility of machine learning to guide personalized red blood cell (RBC) transfusion: analyzing the heterogeneity of RBC transfusion in sep... by Penglei Yang (8090156)

“…</p>Results<p>The MIMIC-IV and MIMIC-III database comprised 1,652 and 868 patients, with 826 (50%) and 434 (50%) in the RBC transfusion group, respectively, after PSM. The mean prediction coefficient estimated by the causal forest was 1.00 with a standard error of 0.57, while the differential forest prediction coefficient was 1.64 with a standard error of 0.48, demonstrating the model’s ability to effectively identify differences in the impact of transfusion on survival rates among individuals. …”

Supplementary Material for: GFR-Specific versus GFR-Agnostic Cutoffs for Parathyroid Hormone and Fibroblast Growth Factor-23 in Advanced Chronic Kidney Disease by Canney M. (5218298)

“…<b><i>Results:</i></b> Risk-based cutoffs for PTH1–84 and FGF-23 increased in a graded fashion with decreasing eGFR. Among patients with eGFR <20 mL/min/1.73 m², CV risk-based cutoffs for PTH1–84 and FGF-23 were 3.4 and 5.5 times the upper limit of normal, respectively, and reclassified 31.9 and 35.1% of patients when added to a multivariable base model for CV events. …”

Table_1_Medication guide for dose adjustment and management of cardiotoxicity and lipid metabolic adverse events of oral antineoplastic therapy.docx by Elena Ramos-Ruperez (16880154)

“…Eight OAAs (9.68%) have reported a decrease in LVEF, and four of these drugs, namely, encorafenib, lorlatinib, ripretinib, and sunitinib, have specific management recommendations. …”

Table2_Fire, volcanism and climate change: the main factors controlling mercury (Hg) accumulation rates in Tropical Lake Lantoa, Sulawesi, Indonesia (∼16,500–540 cal yr BP).xlsx... by Jalene Nalbant (17269828)

“…The Holocene Transition was marked by a decrease in HgAR (µ = 8, 3.50–18.84 μg m⁻² yr⁻¹) as humid conditions precluded forest burning, followed by high HgAR (µ = 11.35, 3.30–158.32 μg m⁻² yr⁻¹) in the Early Holocene. …”

Table1_Fire, volcanism and climate change: the main factors controlling mercury (Hg) accumulation rates in Tropical Lake Lantoa, Sulawesi, Indonesia (∼16,500–540 cal yr BP).xlsx... by Jalene Nalbant (17269828)

“…The Holocene Transition was marked by a decrease in HgAR (µ = 8, 3.50–18.84 μg m⁻² yr⁻¹) as humid conditions precluded forest burning, followed by high HgAR (µ = 11.35, 3.30–158.32 μg m⁻² yr⁻¹) in the Early Holocene. …”

Table3_Fire, volcanism and climate change: the main factors controlling mercury (Hg) accumulation rates in Tropical Lake Lantoa, Sulawesi, Indonesia (∼16,500–540 cal yr BP).xlsx... by Jalene Nalbant (17269828)

“…The Holocene Transition was marked by a decrease in HgAR (µ = 8, 3.50–18.84 μg m⁻² yr⁻¹) as humid conditions precluded forest burning, followed by high HgAR (µ = 11.35, 3.30–158.32 μg m⁻² yr⁻¹) in the Early Holocene. …”

Table4_Fire, volcanism and climate change: the main factors controlling mercury (Hg) accumulation rates in Tropical Lake Lantoa, Sulawesi, Indonesia (∼16,500–540 cal yr BP).xlsx... by Jalene Nalbant (17269828)

“…The Holocene Transition was marked by a decrease in HgAR (µ = 8, 3.50–18.84 μg m⁻² yr⁻¹) as humid conditions precluded forest burning, followed by high HgAR (µ = 11.35, 3.30–158.32 μg m⁻² yr⁻¹) in the Early Holocene. …”