Image 2_Endoplasmic reticulum stress-related prognosis signature characterizes the immune landscape and predicts the prognosis of colon adenocarcinoma.tif by Lichao Cao (276107)

“…Compared with normal tissues, the mRNA and protein expressions of three ERSGs were decreased in cancer tissues. Compared with NCM460, the mRNA levels of HSPA1A and DAPK1 were decreased in the majority of COAD cell lines, whereas the mRNA level of SERPINA1 was increased in HCT116 and SW480, and reduced in SW620. …”

Image 3_Endoplasmic reticulum stress-related prognosis signature characterizes the immune landscape and predicts the prognosis of colon adenocarcinoma.tif by Lichao Cao (276107)

“…Compared with normal tissues, the mRNA and protein expressions of three ERSGs were decreased in cancer tissues. Compared with NCM460, the mRNA levels of HSPA1A and DAPK1 were decreased in the majority of COAD cell lines, whereas the mRNA level of SERPINA1 was increased in HCT116 and SW480, and reduced in SW620. …”

Visualization of the logistic regression model. by Gaosha Li (20570760)

“…The color intensity, varying smoothly from red to blue, signifies the increasing or decreasing nature of the feature’s value, where red denotes a higher value while blue indicates a lower one. …”

Supplementary Material for: Left and Right Ventricular Strain Mechanics in Fetal Tachyarrhythmia by figshare admin karger (2628495)

“…RV GLS [-6.3% (-8.5, -5.1) vs. -13.6% (-15.3, -10.6); p-value < 0.0001), Strain Rate [-1.3% ( 1.7, -0.9) vs. -2.1% (-2.5, 1.4); p-value 0.0103), and GLV [1.2 cm/s (0.8, 1.7) vs. 1.9 cm/s (1.2, 2.7); p-value 0.026)] were low in tachyarrhythmia and improved with sinus rhythm but remained lower than in controls. …”

Advanced experimental investigation of explosive characteristics in premixed syngas/air mixtures using a narrow gap disk burner by Mingzhao Wang (2956800)

“…P_max increases with Φ initially then decreases, reaching a peak value of 308 kPa at Φ = 1.2. …”

AI KRegression by CHIN-CHENG CHU (20718575)

“…<p dir="ltr">The single-axis Sample Entropy (X-axis) only slightly decreased from 0.095 ± 0.054 to 0.080 ± 0.048 (p = 0.025*), and the Y-axis also only decreased from 0.106 ± 0.046 to 0.090 ± 0.043 (p = 0.025*), indicating that the complexity changes in a single direction are limited. …”

Frequency distribution of depths of coverage (DP) and allele balances (AB). by Eileen Marie Hanna (9693992)

“…The depth of coverage distribution is shown to have its mode around 40x after which the frequency keeps decreasing. The allele balances of the heterozygous variants vary around a maximum frequency of 0.5, while the balances of the homozygous variants are at the single line at value 1.…”

Data_Nostalgia by xinyi li (17805758)

“…<p dir="ltr">We tested these three hypotheses across three experimental studies. In Study 1, we examined the main effect of nostalgia, showing that nostalgia decreases consumers' appearance management (H1). …”

Improved disposal security of 2,6-bis(picrylamino)-3,5-dinitropyridine via recrystallization by Mi Zhang (42795)

“…After recrystallization, the aspect ratio decreased from 3.47 to 1.28, and the roundness value increased from 0.47 to 0.78. …”

Supplementary Material for: Pre- and post-operative Exercise and Nutrition Therapy in Patients with Esophageal Cancer Undergoing Esophagectomy: A Prospective Interventional Study by figshare admin karger (2628495)

“…The SMM increased by 4.9% for T1–T2 (p < 0.001) but decreased by 10.1% for T1–T3 (p < 0.001), suggesting that the primary outcome was not achieved. …”

Table_6_Mendelian randomization analyses explore the effects of micronutrients on different kidney diseases.XLSX by Chengdong Shi (18766891)

“…</p>Results<p>The IVW method revealed that Ca levels were associated with a decreased risk of hypertensive renal disease (OR = 0.61, 95% CI: 0.40–0.93, p-value = 0.022), and Se levels were associated with a decreased risk of hypertensive renal disease (OR = 0.72, 95% CI: 0.53–0.99, p-value = 0.040), diabetic nephropathy (OR = 0.83, 95% CI: 0.73–0.93, p-value = 0.002), and CKD (OR = 0.87, 95% CI: 0.77–0.99, p-value = 0.028). …”

Table_5_Mendelian randomization analyses explore the effects of micronutrients on different kidney diseases.XLSX by Chengdong Shi (18766891)

“…</p>Results<p>The IVW method revealed that Ca levels were associated with a decreased risk of hypertensive renal disease (OR = 0.61, 95% CI: 0.40–0.93, p-value = 0.022), and Se levels were associated with a decreased risk of hypertensive renal disease (OR = 0.72, 95% CI: 0.53–0.99, p-value = 0.040), diabetic nephropathy (OR = 0.83, 95% CI: 0.73–0.93, p-value = 0.002), and CKD (OR = 0.87, 95% CI: 0.77–0.99, p-value = 0.028). …”

Table_4_Mendelian randomization analyses explore the effects of micronutrients on different kidney diseases.XLSX by Chengdong Shi (18766891)

“…</p>Results<p>The IVW method revealed that Ca levels were associated with a decreased risk of hypertensive renal disease (OR = 0.61, 95% CI: 0.40–0.93, p-value = 0.022), and Se levels were associated with a decreased risk of hypertensive renal disease (OR = 0.72, 95% CI: 0.53–0.99, p-value = 0.040), diabetic nephropathy (OR = 0.83, 95% CI: 0.73–0.93, p-value = 0.002), and CKD (OR = 0.87, 95% CI: 0.77–0.99, p-value = 0.028). …”

Table_8_Mendelian randomization analyses explore the effects of micronutrients on different kidney diseases.XLSX by Chengdong Shi (18766891)

“…</p>Results<p>The IVW method revealed that Ca levels were associated with a decreased risk of hypertensive renal disease (OR = 0.61, 95% CI: 0.40–0.93, p-value = 0.022), and Se levels were associated with a decreased risk of hypertensive renal disease (OR = 0.72, 95% CI: 0.53–0.99, p-value = 0.040), diabetic nephropathy (OR = 0.83, 95% CI: 0.73–0.93, p-value = 0.002), and CKD (OR = 0.87, 95% CI: 0.77–0.99, p-value = 0.028). …”

Table_2_Mendelian randomization analyses explore the effects of micronutrients on different kidney diseases.XLSX by Chengdong Shi (18766891)

“…</p>Results<p>The IVW method revealed that Ca levels were associated with a decreased risk of hypertensive renal disease (OR = 0.61, 95% CI: 0.40–0.93, p-value = 0.022), and Se levels were associated with a decreased risk of hypertensive renal disease (OR = 0.72, 95% CI: 0.53–0.99, p-value = 0.040), diabetic nephropathy (OR = 0.83, 95% CI: 0.73–0.93, p-value = 0.002), and CKD (OR = 0.87, 95% CI: 0.77–0.99, p-value = 0.028). …”

Table_7_Mendelian randomization analyses explore the effects of micronutrients on different kidney diseases.XLSX by Chengdong Shi (18766891)

“…</p>Results<p>The IVW method revealed that Ca levels were associated with a decreased risk of hypertensive renal disease (OR = 0.61, 95% CI: 0.40–0.93, p-value = 0.022), and Se levels were associated with a decreased risk of hypertensive renal disease (OR = 0.72, 95% CI: 0.53–0.99, p-value = 0.040), diabetic nephropathy (OR = 0.83, 95% CI: 0.73–0.93, p-value = 0.002), and CKD (OR = 0.87, 95% CI: 0.77–0.99, p-value = 0.028). …”

Table_3_Mendelian randomization analyses explore the effects of micronutrients on different kidney diseases.XLSX by Chengdong Shi (18766891)

“…</p>Results<p>The IVW method revealed that Ca levels were associated with a decreased risk of hypertensive renal disease (OR = 0.61, 95% CI: 0.40–0.93, p-value = 0.022), and Se levels were associated with a decreased risk of hypertensive renal disease (OR = 0.72, 95% CI: 0.53–0.99, p-value = 0.040), diabetic nephropathy (OR = 0.83, 95% CI: 0.73–0.93, p-value = 0.002), and CKD (OR = 0.87, 95% CI: 0.77–0.99, p-value = 0.028). …”

Table_9_Mendelian randomization analyses explore the effects of micronutrients on different kidney diseases.DOCX by Chengdong Shi (18766891)

“…</p>Results<p>The IVW method revealed that Ca levels were associated with a decreased risk of hypertensive renal disease (OR = 0.61, 95% CI: 0.40–0.93, p-value = 0.022), and Se levels were associated with a decreased risk of hypertensive renal disease (OR = 0.72, 95% CI: 0.53–0.99, p-value = 0.040), diabetic nephropathy (OR = 0.83, 95% CI: 0.73–0.93, p-value = 0.002), and CKD (OR = 0.87, 95% CI: 0.77–0.99, p-value = 0.028). …”

Supplementary Material for: Exploring the ability of novel choroidal biomarkers in predicting treatment outcomes of polypoidal choroidal vasculopathy by Zhang Y. (2828780)

Analysis workflow for the classification of MCVs. by Jacques Augenstreich (3106434)

“…The cluster are then defined as positive or negative based on the shape of the cluster. Curves showing a decreasing fluorescence intensity to a plateau value were considered positive for the marker. …”