Significant condition. by Junxia Zhou (14381598)

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Results of significance for regression factors. by Junxia Zhou (14381598)

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Decreased clonogenic capacity of U87MG and U251MG glioma cells dependent on SHG-44 concentration. by Denis Mustafov (19137870)

Juvenile demyelination leads to a substantial decrease in potassium currents in PV interneurons of the PFC. by Sara Hijazi (21656615)

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Decreased clonogenic capacity of U87MG and U251MG GB cells following treatment with SHG-44 and cis-platin at equal concentrations. by Denis Mustafov (19137870)

Data set. by Belachew Tekleyohannes Wogayehu (19470257)

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Degeneration Saline group presented with significant decreased final weight in relation to other groups. by Flavia Gomes Velasque Gama (21175112)

Centrifuged FMT products consistently exhibit the lowest median log₁₀ drop of CFU/g following freezing and lyophilization. In contrast, unprocessed feces exhibited the g... by Nina K. Randolph (21030732)

The growth of co-transformed cells in the peritoneal cavity alters viral gene expression to mirror that of PEL cell lines. by Mitchell Hayes (5334887)

The growth of co-transformed cells in the peritoneal cavity alters their cellular gene expression to mirror that of PEL biopsies. by Mitchell Hayes (5334887)

Co-infected cells express both KSHV and EBV genes <i>in vitro</i> necessary for their survival and growth. by Mitchell Hayes (5334887)

Co-transformed cells grow preferentially as tumors in peritoneal cavities. by Mitchell Hayes (5334887)

Introgression decreases allelic shuffling. by Enrique J. Schwarzkopf (6579275)

Analysis of Significantly Different Bacteria. by Xu Jia (187142)

Testing set error. by Xiangjuan Liu (618000)

“…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …”

Parameter setting table. by Bo Tong (2138632)

“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”

Why does task performance decrease with burst length? by Swathi Anil (17382903)

Summary of previous work. by Junyan Wang (4738518)

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Comparison of MAP@0.5 results from experiments. by Junyan Wang (4738518)

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YOLO11. by Junyan Wang (4738518)

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