Multivariable mixed effect logistic regression for chills, with individual ID and stimulus as a random effect. Individual intercept variance = 1.02 and stimuli intercept variance =... by Felix Alexandre Schoeller (20988295)

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Expanded heat maps showing the enriched pathways. by Mísia Helena da Silva Ferro (20623666)

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Fig 5 - by Mísia Helena da Silva Ferro (20623666)

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Regression analysis results with depressive symptoms. by Oejin Shin (20855617)

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Expression level (2^-ΔCq) of microRNA in the hypothalamus of control, pinealectomized (PINX) and melatonin-treated (PINX-MEL) rats. by Mísia Helena da Silva Ferro (20623666)

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Expanded heat maps showing the enriched pathways. by Mísia Helena da Silva Ferro (20623666)

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Expanded heat maps showing the enriched pathways. by Mísia Helena da Silva Ferro (20623666)

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Pathways with potential involvement of the target miRNAs. by Mísia Helena da Silva Ferro (20623666)

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Regression analysis results with self-rated health. by Oejin Shin (20855617)

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The table provides details about the six different videos used in the study. For each video, a brief description, its length, and its chills ratio (CR) from past ChillsDB studies a... by Felix Alexandre Schoeller (20988295)

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Sequence analysis results. by Oejin Shin (20855617)

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Expression level (2^-ΔCq) of microRNA in the prefrontal cortex of control, pinealectomized (PINX) and melatonin-treated (PINX-MEL) rats. by Mísia Helena da Silva Ferro (20623666)

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A. Bar chart showing the percentage of participants experiencing chills in response to various stimuli, ordered by descending frequency. by Felix Alexandre Schoeller (20988295)

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Descriptive analysis. by Oejin Shin (20855617)

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S1 File - by Ahmed Akib Jawad Karim (20427740)

“…After the model creation, we applied the resulting model, LastBERT, to a real-world task—classifying severity levels of Attention Deficit Hyperactivity Disorder (ADHD)-related concerns from social media text data. Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”

Confusion matrix for ClinicalBERT model. by Ahmed Akib Jawad Karim (20427740)

“…After the model creation, we applied the resulting model, LastBERT, to a real-world task—classifying severity levels of Attention Deficit Hyperactivity Disorder (ADHD)-related concerns from social media text data. Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”

Confusion matrix for LastBERT model. by Ahmed Akib Jawad Karim (20427740)

“…After the model creation, we applied the resulting model, LastBERT, to a real-world task—classifying severity levels of Attention Deficit Hyperactivity Disorder (ADHD)-related concerns from social media text data. Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”

Student model architecture. by Ahmed Akib Jawad Karim (20427740)

“…After the model creation, we applied the resulting model, LastBERT, to a real-world task—classifying severity levels of Attention Deficit Hyperactivity Disorder (ADHD)-related concerns from social media text data. Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”

Configuration of the LastBERT model. by Ahmed Akib Jawad Karim (20427740)

“…After the model creation, we applied the resulting model, LastBERT, to a real-world task—classifying severity levels of Attention Deficit Hyperactivity Disorder (ADHD)-related concerns from social media text data. Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”

Confusion matrix for DistilBERT model. by Ahmed Akib Jawad Karim (20427740)

“…After the model creation, we applied the resulting model, LastBERT, to a real-world task—classifying severity levels of Attention Deficit Hyperactivity Disorder (ADHD)-related concerns from social media text data. Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”