Dynamic window based median filtering algorithm. by Li Yuan (102305)

“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”

Flow of operation of improved KMA. by Li Yuan (102305)

“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”

Improved DAE based on LSTM. by Li Yuan (102305)

“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”

Autoencoder structure. by Li Yuan (102305)

“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”

Acoustic Startle at 28 dpf. by Morgan Barnes (7876373)

“…(C) There is a significant decrease of PPI in the 48+ and 72 + fish (p < 0.0001). …”

Population dynamics reflect intention-action binding. by Jean-Paul Noel (3072192)

PDS and CEP inhibited DDX60-mediated promotion of CCHFV replication. by Yutong Sui (11151669)

Study on the expression of mRNA related to biofilm formation of <i>C. albicans</i> by CSR extract (100 μg/mL). by Xuxi Cheng (22453447)

TAD boundary stability for different noise amplitudes for all chromosomes. by Lucas Hedström (21688891)

Complementary conditioning measures in healthy subjects. by Gabriela Ribeiro (4748373)

“…<b>(I) Novelty</b> ratings significantly decreased from pre to post-conditioning (F_(1,51) = 10.2, <i>P</i> = 0.002; post hoc CS^-, <i>P</i> = 0.0001; post hoc CS⁺, <i>P</i> = 0.01) but similarly for both stimuli (F_{(1, 51)} = 0.17, <i>P</i> = 0.7; Interaction: F_{(1, 51)} = 1.1, <i>P</i> = 0.3). …”

Complementary conditioning measures across the clinical study groups. by Gabriela Ribeiro (4748373)

“…Post hoc tests showed significant decreases for the surgical group (<i>P</i> = 0.05), while in the remaining groups, results did not reach significance (Healthy, <i>P</i> = 0.4; Obese, <i>P</i> = 0.1). …”

Changes in cytokine production over the second week of culture. by Nils Ågren (21474419)

“…The decrease in IFN-γ production between days 9 and 14 was significant in all groups. …”

A-E. The participants’ VAS pain scores, walking distance covered during the 6-Minute Walk Test, Short Form-12 sum scores and Western Ontario and McMaster Universities Osteoarthriti... by Lex D. de Jong (22138778)

PEDV and PDCoV infection impairs the cilium. by Tenghan Zhuang (22238809)

“…Notably, infection by either porcine epidemic diarrhea virus (PEDV) or porcine deltacoronavirus (PDCoV) resulted in a significant decrease in both the percentage of cells with cilium and the average ciliary length across all three porcine cell lines (<i>C-D, F-G, and I-J</i>). …”

Functional iKIR do not consistently modify detrimental genotypes. by Laura Mora-Bitria (20477525)

“…In the corresponding permutation test the p-value becomes even less significant (P <b>=</b> 0.19). We conclude that there is no evidence that detrimental class II drivers are modified by functional iKIR.…”

SLC response kinematics at 6 dpf. by Morgan Barnes (7876373)

“…The angle and duration of the C1 bend is significantly decreased in 24 + fish (p < 0.0001 and p < 0.05) compared to the 24- fish and the C1 angle is decreased in 72 + fish (p < 0.05). …”

Analysis of differential microbiome and classification prediction model between case and control groups. by Chuan Zhang (187157)

“…The relative importance of each genus in the predictive model was evaluated using the mean decreasing accuracy and the Gini coefficient.…”

Acoustic startle at 6 dpf. by Morgan Barnes (7876373)

“…<p>(A-B) These graphs represent the area under the curve of the LLC response frequency. There are significant decreases in LLC responses in the 24+ (p < 0.0001) and 48+ (p ≤ 0.0001) fish. …”

SLC response kinematics at 28 dpf. by Morgan Barnes (7876373)

“…The latency is significantly decreased in the 24 + fish (p < 0.001) and the 48 + fish (p < 0.05) compared to their respective controls (24- and 48-). …”

Dataset. by Nathan Mubiru (21627195)

“…In contrast, samples collected in plain serum tubes kept at room temperature and uncentrifuged, C-peptide and insulin levels decreased significantly to 51% (p = 0.006) and 62% (p = 0. 083) respectively, similarly insulin levels for centrifuged samples declined to 64% (p = 0.083). …”