Transcriptional and translational markers of syncytialization and biochemical differentiation are significantly decreased by rotenone. by O’Llenecia S. Walker (8486163)

Gradation determined by the step-by-step filling test on the coarse aggregates. by Zhijun Liu (35566)

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One-step and multi-step growth curves each mutant and SVA-WT. by Hai-Fan Zhao (15990862)

<i>neurod1</i>^<i>ΔUCE</i> homozygous mutants display a decrease in the expression of several EE hormones. by Anne Sophie Reuter (12239993)

Mean scores, standard deviations, and significance on key measures and subscales by gender group. by Silas Manning (22693338)

Significant decrease of the viability of A375 melanoma cells after CD treatment. by Lena Berning (7430117)

Comparing demographic data (mean values). by Tamer Shousha (10960632)

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Discrimination accuracy in straight rhythm (Exp. 3). by Jun Nitta (3877651)

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Overview of pipeline steps and study design. by Alireza Talesh Jafadideh (14227404)

The technical route of the study. by Hongliang Zou (20707270)

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Point cloud fusion instance effect. by Hongliang Zou (20707270)

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Experimental results in the SubT-MRS dataset. by Hongliang Zou (20707270)

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Comparison experiment of accuracy improvement. by Zhongjian Xie (4633099)

“…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”

Comparison experiment of accuracy improvement. by Zhongjian Xie (4633099)

“…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”

Schematic of the multi-Step model. by Anshul Saini (11320669)

Outcome measures on step 5. by Timmion K. Skervin (11432568)

Results of multiple logistic regression analysis to identify potential factors associated with the successful reduction of HPC and F+ coliphage in the POU UVC LED effluent. Single... by Hania Zanib (21864477)

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Does Mean Platelet Volume Decrease in the presence of Coronary Artery Fistula? by Isa Sincer (7234577)

“…Several studies have shown the association between mean platelet volume (MPV) and cardiovascular diseases. …”

Mechanical data for the two drill bits in the MIPS system (MIPS GS, MIPS WD) and the single drill bits in the MONO system at different feed rates (mm/s). The data are shown as the... by Marsel Ganeyev (21453399)

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Adjustment step size. by Qingnan Ji (22662198)

“…Experimental results show that it improves multimodal information matching accuracy by 28.2% over the baseline method. Integration efficiency increases by 18.7%, and computational complexity is significantly reduced, with average computation time decreased by 15.4%. …”