YOLOv8n-BWG detection results diagram. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

GSConv module structure diagram. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

Performance comparison of three loss functions. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

mAP0.5 Curves of various models. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

Network loss function change diagram. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

Comparative diagrams of different indicators. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

YOLOv8n structure diagram. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

Geometric model of the binocular system. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

Enhanced dataset sample images. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

Monthly and annual rate of cattle rabies occurrence in Latin America between 1970 and 2023. by Diego Soler-Tovar (20553029)

Participants demographic data. by Gabriela Garcia (119921)

“…A decrease in mean erector spinae activity was observed in males only. …”

MCT4/CD147 transporter complex-associated cell proliferation, migration and invasion in U87 and U251 cell lines. by Chen Gao (159491)

Stop codon readthrough for tRNA modification gene deletion mutants. by Léo Hardy (22538036)

Modulation of sound responsiveness during repetitive stress. by Ghattas Bisharat (20706928)

“…<p>(a) Percentage of sound-responsive cells in baseline and repeated stress conditions for PPy and PV cells (all imaged cells). There was a small and significant decrease in the percentage of responsive PPy cells (<i>n</i> = 10 sessions in baseline and 15 sessions during stress, <i>t</i> test, <i>p</i> = 0.02) and a nonsignificant decrease for PV cells (mean ± SE, <i>n</i> = 190 cells in baseline and 339 cells during stress, <i>t</i> test, <i>p</i> = 0.19). …”

Supporting data for PhD thesis "Turbulence in Thermally-Stratified Boundary Layers over Idealized Urban Morphology" by Kangcheng Zhou (9391820)

“…Large-scale accelerating flows in the UCL enhance small-scale turbulence, showing a monotonic decrease in AM with increasing instability. …”

Analyses of directed phase lag index (dPLI [44]) for excitatory/inhibitory (E/I) ratios with respect to pyramidal (Pyr) and parvalbumin (PV) populations (<i>A</i>) and Pyr and soma... by Nobuhiko Wagatsuma (494052)

“…However, in contrast to the E/I ratio for the PV population, increasing the E/I ratio by decreasing SOM interneuron numbers tended to decrease the dPLI values from PV to Pyr populations. …”

Supplementary file 1_Effects of a personalized PERMA-based intervention on the mental health of junior high school students: a randomized clinical trial.docx by Lei Zhang (38117)

“…The experimental group also demonstrated significant increases in accomplishment (+1.4), engagement (+1.2), goal focus (+2.1), positive cognition (+1.5), and total resilience (+5.2). …”

Table 1_Effect of a mindfulness-based cognitive behavior therapy intervention on occupational burnout among school teachers.docx by Netra Raj Paudel (20610806)

“…No significant differences between the arms were found in the post-test mean levels of EE, DP, and PA. …”

Ama controls the pool of myoblast number independently of Nrt. by Blandine Moucaud (11844047)

“…Note that overexpressing <i>Ama</i> (Ama OE) is not sufficient to induce an increase of myoblast number. <b>(L)</b> Dot-plot graph showing the mean number of Twi-positive myoblasts per disc in rescue experiments using R32D05-Gal4 driver. …”

Automated matching and visualisation of magnetic flux leakage data in shale gas pipeline based on ICP and DBSCAN algorithm by Leyao Gu (17897654)

“…The findings show that small-scale datasets or higher false detection rates lead to decreased accuracy. …”