Image 4_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

“…The study evaluated event-related potentials alongside theta, alpha and beta spectral power while employing machine learning techniques to distinguish meditative states from cognitive tasks.…”

Image 3_EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach.png by Eyad Talal Attar (22124251)

“…The study evaluated event-related potentials alongside theta, alpha and beta spectral power while employing machine learning techniques to distinguish meditative states from cognitive tasks.…”

Table 1_A cohort-based assessment of drug use trends during the COVID-19 pandemic: relationship with mood and sociodemographic factors in Brazil.docx by Nubia Heidrich (14079741)

Table 1_Student wellbeing during COVID-19—Impact of individual characteristics, learning behavior, teaching quality, school system-related aspects and home learning environment.pdf... by Julian Brauchle (20788490)

“…Introduction<p>The measures taken to contain the COVID-19 pandemic had a significant impact on the lives of young people. Studies indicate a decrease in wellbeing and an increase in mental health problems among adolescents. …”

FFD – main effect, original fibrosis burden. by Åshild Telle (22794721)

Supplementary Material for: Long-Term Effects of Cognitive Behavioral Therapy on Sickness Absence and Cognitive Functioning in Patients with Stress-Related Disorders: Secondary Res... by figshare admin karger (2628495)

“…Results CBT and GHP had comparable effects on SA and cognitive functioning with no significant between-group effects (all p > .05). Analyzing effects across the entire sample, the number of SA days among those with any SA did not significantly change (p = .946) but the likelihood of having any SA decreased significantly by the 1YFU (OR = .92, 95% CI [.87, .96], p < .001). …”

ChIP-mini binding profiles of RpoS upstream of iron metabolism genes. by Joon Young Park (15256702)

Table 1_Hesperidin alleviates hypothyroidism-related cardiac dysfunction by targeting cardiac miRNAs, Nrf2/NF-κB signaling, oxidative stress and inflammation.docx by Asmaa M. Gaber (21640814)

ChIP-mini binding profiles of RpoD upstream of iron metabolism genes. by Joon Young Park (15256702)

Fig 5 - by Joon Young Park (15256702)

“…Among the three RpoD binding sites upstream of <i>cyoABCDE</i>, only the binding intensity at the site corresponding to the transcription start site (TSS) significantly decreases. Additionally, a significant reduction in RpoD binding is also observed for <i>atpIBEFHAGDC</i>. …”

The radius of gyration of wild-type and mutant (H5Q) AKR1C3 (both complexed with the ligand, NADPH). by Md. Akeruzzaman Shaon (21511929)

Reconstruction of RpoS regulon under both control and heat shock conditions. by Joon Young Park (15256702)

“…<p>(A) The scatter plot illustrates the relationships between intensity and transcript expression levels related to RpoD and RpoS binding in response to heat shock. …”

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. …”

Fig 6 - by Joon Young Park (15256702)

“…The binding intensity of RpoD upstream of <i>ptsG</i> and <i>ptsHI</i> significantly decreases in response to heat shock. (C) Heat map showing sigma factor binding and expression change for carbon metabolism genes in response to heat shock. …”

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. …”

ROC curve 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. …”