Plasma cells, but not memory B cells, were significantly decreased with APRIL/BLyS blockade. by Natalie M. Bath (6316517)

Statistical significance of the proposed method. by Jamila Akhter (21144252)

Subjects:

Parasite burden is significantly decreased in the small intestine of <i>taiep</i> infected rats. by Karen Elizabeth Nava-Castro (6940340)

<i>Nampt</i> expression is significantly decreased in primary hepatocytes after ethanol treatment. by Xiwen Xiong (442078)

Dynorphin Neuropeptides Decrease Apparent Proton Affinity of ASIC1a by Occluding the Acidic Pocket by Lilia Leisle (11356934)

“…Prolonged acidosis, as it occurs during ischemic stroke, induces neuronal death via acid-sensing ion channel 1a (ASIC1a). Concomitantly, it desensitizes ASIC1a, highlighting the pathophysiological significance of modulators of ASIC1a acid sensitivity. …”

Dynorphin Neuropeptides Decrease Apparent Proton Affinity of ASIC1a by Occluding the Acidic Pocket by Lilia Leisle (11356934)

“…Prolonged acidosis, as it occurs during ischemic stroke, induces neuronal death via acid-sensing ion channel 1a (ASIC1a). Concomitantly, it desensitizes ASIC1a, highlighting the pathophysiological significance of modulators of ASIC1a acid sensitivity. …”

Association of smoking, COVID-19 pandemic, and chief complaint with self-medication with antibiotics among a group of dental patients (n = 756) in Iran using simple (unadjusted) an... by Mohammad Reza Khami (11734304)

Integrin expression decreased in treated tumors. by Anthony B. Eason (6294305)

List of 1483 genes that were significantly (<i>P</i> < 0.1) increased or decreased in any galactose-treated sample. by Masaya Nagaya (13851123)

Main feature classes used to train the OCS algorithm for task-scheduling problems. by Simon Taub (12262035)

Subjects:

Preparatory neuronal activity in ALM is decreased, but remains significant in quiet trials devoid of movements. by Vahid Esmaeili (12700352)

Significant decrease of the coiled-coil score in the double proline-substituted CAHS3 mutant. by Akihiro Tanaka (342394)

Bias reduction achieved for youth in Problem Resolution Only (PRO). by Douglas C. Smith (1301511)

Subjects:

Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML by Ayush Garg (21090944)

“…The important findings of our studies are as follows: (i) there is no effect of threshold optimization on ranking metrics such as AUC and AUPR, but AUC and AUPR get affected by class-weighting and SMOTTomek; (ii) for ML methods RF and SVM, significant percentage improvement up to 375, 33.33, and 450 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy, which are suitable for performance evaluation of imbalanced data sets; (iii) for AutoML libraries AutoGluon-Tabular and H2O AutoML, significant percentage improvement up to 383.33, 37.25, and 533.33 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy; (iv) the general pattern of percentage improvement in balanced accuracy is that the percentage improvement increases when the class ratio is systematically decreased from 0.5 to 0.1; in the case of F1 score and MCC, maximum improvement is achieved at the class ratio of 0.3; (v) for both ML and AutoML with balancing, it is observed that any individual class-balancing technique does not outperform all other methods on a significantly higher number of data sets based on F1 score; (vi) the three external balancing techniques combined outperformed the internal balancing methods of the ML and AutoML; (vii) AutoML tools perform as good as the ML models and in some cases perform even better for handling imbalanced classification when applied with imbalance handling techniques. …”

Metrics used to evaluate the models by the type of problems addressed in the SLR sample. by Hilson Gomes Vilar de Andrade (21609670)

Reduced (owner-animal metadata) XGBoost model on the <i>any health problem</i> binary using the all-owner dataset. by Richard Barrett-Jolley (739341)

Subjects:

Health-related quality of life on survivors from stroke in the first 28 days with: no problems (Level 1); some problems (Level 2); Extreme Problems (Level 3). by Igor Samuel Dobe (21781641)

Problem statement. by Jinqu Chen (20258031)

Predicting drinking problems or use disorders in servers and bartenders (N = 1,001). by Rupa Jose (700465)

Subjects:

Conservation planning steps and associated problems. by Vanessa M. Adams (11876348)