Mean values and 95% confidence intervals for recovery time, Average NN Interval (AVNN); Standard Deviation of NN Intervals (SDNN), Low Frequency/ High Frequency Ratio (LF/HF); and... by Robert Trybulski (10998702)

NN analysis to assign the importance of variables. by Sulmaz Ghahramani (3387635)

The GmNN1/FT2a-GmNFYA-C-GmENOD40 module regulates soybean nodulation. by Xinxin Li (281237)

Network analysis of significantly changing proteins. by Tyler D. P. Goralski (7506845)

Summary of the effect of MPDD on SDLP across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (sign... by Mobina Faqani (22783963)

Positional cloning of <i>qNN1</i> on chromosome 16. by Xinxin Li (281237)

Summary of the effect of MPDD on ART and TIBL across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “... by Mobina Faqani (22783963)

The number of gauging cross-sections where a statistically significant decreasing trend was identified. by Krzysztof Kochanek (835532)

Mean decrease Gini score by Tweet and user characteristics. by Gray Babbs (16648894)

<i>GmNN1/FT2a</i> expression analysis. by Xinxin Li (281237)

Decrease of the mean number of natural teeth and POPs with age. by Sul-Hee Kim (11873853)

GSEA pathways most significant for the Day 1 transcriptomics data. by Tyler D. P. Goralski (7506845)

Adjusted means and 95% confidence interval of blood pressure change from baseline to the follow-up in different general or abdominal obesity status change groups. by Yi-de Yang (6755798)

ChIP flowchart. by Kate Curtis (3799945)

Subjects:

Shoot-to-root translocation of GmNN1/FT2a regulates soybean nodulation. by Xinxin Li (281237)

Functions of <i>GmNN1/FT2a</i> in nitrogen nutrition and nodulation. by Xinxin Li (281237)

Chip data used to assess imputation and phasing accuracy and origin of the customized chip. by Adriano De Marino (13982862)

Subjects:

Plant growth, nodulation, and N content as affected by manipulating of GmNN1/FT2a. by Xinxin Li (281237)

CHIP-STS experimental results. by Zhen Luo (281825)

“…The proposed method achieves F1 scores of 65.26%, 80.31%, and 86.73% on the CMeEE-V2, IMCS-V2-NER, and CHIP-STS datasets, respectively, outperforming other models and demonstrating significant improvements in medical entity recognition accuracy and multiple evaluation metrics.…”

Chip 1 is for CnBio [13] and 3D spheroids [28] and chip 2 is for Javelin [20] architectures. by Manoja Rajalakshmi Aravindakshan (20536584)

Subjects: