N-acetilcysteine prevents the <i>A</i>. <i>simplex</i> CE-induced TEER decrease. by Noelia Carballeda-Sangiao (2889611)

YOLO11. by Junyan Wang (4738518)

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The summarized graph for the values of the coefficients of significant linear trends. by Ekaterina Ivanova (230383)

SCI-YOLO11. by Junyan Wang (4738518)

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The network structure of FasterNet--YOLO. by Shiwei Yu (6060308)

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The linearly decreasing convergence factor a. by Junhao Wei (6816803)

Brain regions with significantly decreased activations for the Raven task are shown in blue. by Morteza Fattahi (15892028)

Statistically significant linear increase in use of antidepressants during the observed time period. by Jelena Filimonovic (22305307)

Detection effect diagram of YOLO11. by Jianming Meng (22209039)

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PR diagram of YOLOv8n and BGS-YOLO: (a) YOLOv8n and (b) BGS-YOLO. by Zeyu Liang (4813593)

The architecture of the proposed BGM-YOLO model. by Chenghai Yu (21440036)

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Overall network architecture of FCMI-YOLO. by Junjie Lu (160350)

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JNJ26993135 + BML-111 decreases permeability and enhances ZO-1 and claudin-1 induced by PAF but does not change TEER. by Kameljit K. Kalsi (16496511)

Structure of UAS-YOLO network. by Ju Liang (4277062)

“…These characteristics impose high demands on detection algorithms in terms of fine-grained feature extraction, cross-scale fusion capability, and occlusion resistance.The YOLOv11s model has significant limitations in practical applications: its feature extraction module has a single semantic representation, the traditional feature pyramid network has limited capability to detect multi-scale targets, and it lacks an effective feature compensation mechanism when targets are occluded.To address these issues, we propose a UAV aerial small target detection algorithm named UAS-YOLO (Universal Inverted Bottleneck with Adaptive BiFPN and Separated and Enhancement Attention module YOLO), which incorporates three key optimizations. …”

Transepithelial electrical resistance (TEER) (N = 6). by Shirko Marcel Shokr (19173337)

“…<p><b>(A)</b> During the cultivation of SMC and ALI we observed significantly differences on day 18 (SMC: 9.61 kΩ*cm²; ALI: 7.73 kΩ*cm²; p<0.05) and day 25 (SMC: 8.19 kΩ*cm²; ALI: 6.44 kΩ*cm²; p<0.05) ALI cultures showed significantly decreased values compared to SMC. …”

Comparison of YOLO-DSTD model with other models. by Jianming Meng (22209039)

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Architecture of GOLD-YOLO. by Xichun Chen (22001791)

“…The network architecture integrates the GOLD-YOLO module, an advanced object detection approach, alongside the updated deformable convolutional networks (DCNv3). …”

(a) YOLOv5s; (b) FasterNet-YOLO. by Shiwei Yu (6060308)

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STF-YOLO structure diagram. by Meiling Shi (13148944)

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Statistically significant linear increase in use of antidementia medications and antipsychotics during the observed time period. by Jelena Filimonovic (22305307)