An Improved PSO Algorithm for Generating Protective SNP Barcodes in Breast Cancer by Li-Yeh Chuang (14936)

“…SNP barcodes containing different numbers of SNPs were computed. The top five SNP barcode results are retained for computing the next SNP barcode with a one-SNP-increase for each processing step. …”

Economical availability of cará flour in diets for commercial laying hens by Ramon Duque MELO (4826628)

“…Observed too a decrease in profitability from these inclusion levels. …”

Changes in macrophage subtype in mice treated with clodronate liposomes. by Aigul Moldobaeva (339313)

“…Clodronate treatment (n = 9 mice) resulted in a significant decrease in the total number of macrophages by 24 h compared with PBS liposome treatment (n = 12 mice). …”

Data and code from: Support for an area–heterogeneity tradeoff for biodiversity in croplands by Sara Khan (761220)

Table3_Artificial intelligence analysis of the impact of fibrosis in arrhythmogenesis and drug response.docx by Ana María Sánchez de la Nava (13945119)

“…Four different AI algorithms (Quadratic Support Vector Machine, QSVM, Cubic Support Vector Machine, CSVM, decision trees, DT, and K-Nearest Neighbors, KNN) were evaluated in predicting conduction of a stimulated electrical impulse.</p><p>Results: Overall, fibrosis implementation lowered conduction velocity (CV) for the conducting profiles (0% fibrosis: 67.52 ± 7.3 cm/s; 5%: 58.81 ± 14.04 cm/s; 10%: 57.56 ± 14.78 cm/s; p < 0.001) in combination with a reduced 90% action potential duration (0% fibrosis: 187.77 ± 37.62 ms; 5%: 93.29 ± 82.69 ms; 10%: 106.37 ± 85.15 ms; p < 0.001) and peak membrane potential (0% fibrosis: 89.16 ± 16.01 mV; 5%: 70.06 ± 17.08 mV; 10%: 82.21 ± 19.90 mV; p < 0.001). …”

DataSheet1_Artificial intelligence analysis of the impact of fibrosis in arrhythmogenesis and drug response.DOCX by Ana María Sánchez de la Nava (13945119)

“…Four different AI algorithms (Quadratic Support Vector Machine, QSVM, Cubic Support Vector Machine, CSVM, decision trees, DT, and K-Nearest Neighbors, KNN) were evaluated in predicting conduction of a stimulated electrical impulse.</p><p>Results: Overall, fibrosis implementation lowered conduction velocity (CV) for the conducting profiles (0% fibrosis: 67.52 ± 7.3 cm/s; 5%: 58.81 ± 14.04 cm/s; 10%: 57.56 ± 14.78 cm/s; p < 0.001) in combination with a reduced 90% action potential duration (0% fibrosis: 187.77 ± 37.62 ms; 5%: 93.29 ± 82.69 ms; 10%: 106.37 ± 85.15 ms; p < 0.001) and peak membrane potential (0% fibrosis: 89.16 ± 16.01 mV; 5%: 70.06 ± 17.08 mV; 10%: 82.21 ± 19.90 mV; p < 0.001). …”

DataSheet2_Artificial intelligence analysis of the impact of fibrosis in arrhythmogenesis and drug response.DOCX by Ana María Sánchez de la Nava (13945119)

“…Four different AI algorithms (Quadratic Support Vector Machine, QSVM, Cubic Support Vector Machine, CSVM, decision trees, DT, and K-Nearest Neighbors, KNN) were evaluated in predicting conduction of a stimulated electrical impulse.</p><p>Results: Overall, fibrosis implementation lowered conduction velocity (CV) for the conducting profiles (0% fibrosis: 67.52 ± 7.3 cm/s; 5%: 58.81 ± 14.04 cm/s; 10%: 57.56 ± 14.78 cm/s; p < 0.001) in combination with a reduced 90% action potential duration (0% fibrosis: 187.77 ± 37.62 ms; 5%: 93.29 ± 82.69 ms; 10%: 106.37 ± 85.15 ms; p < 0.001) and peak membrane potential (0% fibrosis: 89.16 ± 16.01 mV; 5%: 70.06 ± 17.08 mV; 10%: 82.21 ± 19.90 mV; p < 0.001). …”

Table2_Artificial intelligence analysis of the impact of fibrosis in arrhythmogenesis and drug response.docx by Ana María Sánchez de la Nava (13945119)

“…Four different AI algorithms (Quadratic Support Vector Machine, QSVM, Cubic Support Vector Machine, CSVM, decision trees, DT, and K-Nearest Neighbors, KNN) were evaluated in predicting conduction of a stimulated electrical impulse.</p><p>Results: Overall, fibrosis implementation lowered conduction velocity (CV) for the conducting profiles (0% fibrosis: 67.52 ± 7.3 cm/s; 5%: 58.81 ± 14.04 cm/s; 10%: 57.56 ± 14.78 cm/s; p < 0.001) in combination with a reduced 90% action potential duration (0% fibrosis: 187.77 ± 37.62 ms; 5%: 93.29 ± 82.69 ms; 10%: 106.37 ± 85.15 ms; p < 0.001) and peak membrane potential (0% fibrosis: 89.16 ± 16.01 mV; 5%: 70.06 ± 17.08 mV; 10%: 82.21 ± 19.90 mV; p < 0.001). …”

Table1_Artificial intelligence analysis of the impact of fibrosis in arrhythmogenesis and drug response.docx by Ana María Sánchez de la Nava (13945119)

“…Four different AI algorithms (Quadratic Support Vector Machine, QSVM, Cubic Support Vector Machine, CSVM, decision trees, DT, and K-Nearest Neighbors, KNN) were evaluated in predicting conduction of a stimulated electrical impulse.</p><p>Results: Overall, fibrosis implementation lowered conduction velocity (CV) for the conducting profiles (0% fibrosis: 67.52 ± 7.3 cm/s; 5%: 58.81 ± 14.04 cm/s; 10%: 57.56 ± 14.78 cm/s; p < 0.001) in combination with a reduced 90% action potential duration (0% fibrosis: 187.77 ± 37.62 ms; 5%: 93.29 ± 82.69 ms; 10%: 106.37 ± 85.15 ms; p < 0.001) and peak membrane potential (0% fibrosis: 89.16 ± 16.01 mV; 5%: 70.06 ± 17.08 mV; 10%: 82.21 ± 19.90 mV; p < 0.001). …”

Image1_Artificial intelligence analysis of the impact of fibrosis in arrhythmogenesis and drug response.png by Ana María Sánchez de la Nava (13945119)

“…Four different AI algorithms (Quadratic Support Vector Machine, QSVM, Cubic Support Vector Machine, CSVM, decision trees, DT, and K-Nearest Neighbors, KNN) were evaluated in predicting conduction of a stimulated electrical impulse.</p><p>Results: Overall, fibrosis implementation lowered conduction velocity (CV) for the conducting profiles (0% fibrosis: 67.52 ± 7.3 cm/s; 5%: 58.81 ± 14.04 cm/s; 10%: 57.56 ± 14.78 cm/s; p < 0.001) in combination with a reduced 90% action potential duration (0% fibrosis: 187.77 ± 37.62 ms; 5%: 93.29 ± 82.69 ms; 10%: 106.37 ± 85.15 ms; p < 0.001) and peak membrane potential (0% fibrosis: 89.16 ± 16.01 mV; 5%: 70.06 ± 17.08 mV; 10%: 82.21 ± 19.90 mV; p < 0.001). …”

Influence of the molybdenum content in cobalt and molybdenum catalysts supported on magnesium oxide for the production of carbon nanotubes by Thayana Goulart (10471918)

“…Excess of molybdenum in the catalyst caused a decrease in carbon yield and produced nanotubes with a lower degree of graphitization.…”

The breathing of four stroke internal combustion engines by F.H. Khassaf (7120370)

“…A similar study of the heat pick-up of a spark ignition engine inlet port has failed to produce such a relation. …”

Construction and screening of the yeast deletion strain collection by Bart Scherens (4107)

“…Selection leads to an increase in the proportion of some strains in the culture and a decrease of others; these changes can be detected by probing a microarray containing the sequences complementary to the barcodes. …”

TL plots of the Derbyshire data following data manipulation. by Quentin S. Hanley (637406)

“…Panels c and d model the effects of applying a threshold to the reports. Panel a shows data subjected to an incentive to reach 10 reports a month operating above 5 reports. …”

Data_Sheet_1_Anaemia among women of reproductive age in selected sub-Saharan African countries: multivariate decomposition analyses of the demographic and health surveys data 2008–... by Mohammed Gazali Salifu (11888625)

“…</p>Results<p>Ghana and Sierra Leone experienced 17.07% [95% CI: 14.76–19.37, p < 0.001] and 1% [95% CI: 1.0–2.9, p > 0.05] of anaemia decrease from period 1 to period 2, respectively, while Mali and Benin experienced 11% [95% CI: 9.14–12.90, p < 0.001] and 16.7% [95% CI: 14.99–18.5, p < 0.001] of increase in anaemia prevalence from period 1 to period 2, respectively. …”

The selective erbB2 antagonist AG825 dampens the NRG1α-induced MRVA. by Christopher G. Kanakry (83122)

“…<p>Administration of AG825 in DMSO vehicle (n = 5) caused a robust, dose-dependent decrease in the MRVA induced by NRG1α. …”

Activity responses to cerebroventricular (ICV) administration of leptin. by Ana C. Ribeiro (210764)

“…<p>(<i>A</i>) ICV leptin (5 ng/h) increased HCA during weeks 1 (*p≤0.05) and 2 in <i>obob</i> mice. …”

Kinetic signatures of acylcarnitines. by Marc Breit (789355)

“…An early response pattern is shown for valerylcarnitine (C5) with a decrease in relative concentration of approx. 16%. …”

Fig 8 - by Antoine H. P. Morice (5278511)

“…., keep velocity constant, * symbols) and push actions on collective stick (i.e., decrease velocity, ▼ symbols) as a function of current value at their onset. …”

Variance parameters for person-caused fires. by Devan G. Becker (13272469)

“…<p>Again, there is a slight decrease in the estimates for region 5 and <i>σ</i>_<i>b</i> with an increase in the AR(1) parameter.…”