Tables showing the peaks of all significant clusters found within our frontal masks that are reported in the main text. by Caroline I. Jahn (14522732)

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

Subjects:

Increased connectivity in the red lines and decreased connectivity in the blue lines. by Tomoki Kaneko (9113490)

Subjects:

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)

Subjects:

Cortical mapping of the fraction of significant voxels for other dimensions of fastText vectors. by Satoshi Nishida (690175)

“…<p>The mean fraction of significant voxels in each brain region for fastText vector-based models was mapped onto the cortical surface (<b>A</b>, vector dimension = 100; <b>B</b>, 300; <b>C</b>, 500; <b>D</b>, 2000). …”

The top five significant biological processes for each trait. by Hyo Jun Lee (9721560)

ChatGPT-generated text examples incorporating aspect words based on the original text. by Yapeng Gao (18928264)

Subjects:

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

Subjects:

Cortical regions with the highest mean fraction of significant voxels for each of the other dimensional fastText vectors. by Satoshi Nishida (690175)

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

Subjects:

Text sentiment analysis process based on sentiment dictionary. by Xiangqi Zhao (16426114)

The workflow for a text-based analysis of product diversity. by Ananthan Nambiar (12250768)

Topic classification based on KeyBERT-TextCNN. by Lin Qi (128224)

“…This paper aims to predict perceived risk in different contexts by analyzing review content and website information. Based on a dataset containing 262,752 online reviews, we employ the KeyBERT-TextCNN model to extract thematic features from the review content. …”

Industry Specificity with respect to SIC of text-based models (Boolean, TFIDF, and PVDM) and the text-free SIC control. by Ananthan Nambiar (12250768)

Species richness decreases significantly with increasing percent disturbance. by Catherine L. Cardelús (6429320)

Accuracy of large language models for text-based, image-based questions and the total sample. by Huy Cong Nguyen (20636383)

DiD estimates for text vectorization-based opinion quantifier. by Henrika Langen (14380984)

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

Subjects:

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

Subjects:

Detailed description of the main text. by Shunsuke Koseki (11333781)