Table_1_Impaired maturation of resting-state connectivity in anorexia nervosa from adolescence to adulthood: differential mechanisms of consummatory vs. anticipatory responses thro... by Andrea Mendez-Torrijos (19939581)

“…Thirteen young (≤ 21 years) and seventeen adult (> 21 years) patients with AN and age-matched controls underwent two stimulus-driven fMRI sessions involving RS scans before and after the presentation of food-related stimuli and food consumption. Graph theory and machine learning were used for analyzing the fMRI and clinical data. …”

Speed and accuracy variation with <i>k</i>_<i>P</i>. by Ankur Kamboj (19846178)

Effort variation with <i>η</i>. by Ankur Kamboj (19846178)

Data_Sheet_1_Using differential reinforcement for all to manage disruptive behaviors: three class interventions at kindergarten and primary school.docx by Pascal Pansu (11398796)

“…Introduction<p>Disruptive behaviors produce harmful effects, which reduce students’ well-being and learning opportunities. This paper presents a new strategy named Differential Reinforcement for All (DR-All), which has been inspired by DR and Social Learning Theory.…”

Image 2_Computed tomography and magnetic resonance imaging features of primary liver perivascular epithelioid cell tumor with renal angiomyolipoma: a case report and literature rev... by Ruoling Gao (12201178)

“…The enhancement slightly decreased in the equilibrium phase and the delayed phase. …”

Image 1_Computed tomography and magnetic resonance imaging features of primary liver perivascular epithelioid cell tumor with renal angiomyolipoma: a case report and literature rev... by Ruoling Gao (12201178)

“…The enhancement slightly decreased in the equilibrium phase and the delayed phase. …”

Data Sheet 1_Correlation analysis of osteoporosis and vertebral endplate defects using CT and MRI imaging: a retrospective cross-sectional study.pdf by Song Hao (5700608)

“…</p>Methods<p>Computed tomography (CT), magnetic resonance imaging (MRI), bone mineral density (BMD) and other relevant imaging data, as well as age, sex, body mass index (BMI), and degree of low back pain data, were retrospectively analysed. …”

Experiment 2. by Lalit Pandey (13195488)

Reinforcement Learning for Assessing Route Instruction Usability in Complex Indoor Spaces by Reza Arabsheibani (14244716)

“…By quantifying skill transfer across layouts, it also provides an experimental testbed for cognitive theories of heuristic learning and spatial knowledge acquisition</p>…”

MCPC captures two key features of cortical activity. by Gaspard Oliviers (19976466)

Presentation 2_Rethinking pre-training: cognitive load implications for learners with varying prior knowledge.pdf by Anna Gorbunova (3095211)

“…Grounded in cognitive load theory, it investigates whether pre-training facilitates learning by reducing cognitive load or imposes redundant information for learners with higher prior knowledge. …”

Presentation 1_Rethinking pre-training: cognitive load implications for learners with varying prior knowledge.pdf by Anna Gorbunova (3095211)

“…Grounded in cognitive load theory, it investigates whether pre-training facilitates learning by reducing cognitive load or imposes redundant information for learners with higher prior knowledge. …”

Image 1_Rethinking pre-training: cognitive load implications for learners with varying prior knowledge.png by Anna Gorbunova (3095211)

“…Grounded in cognitive load theory, it investigates whether pre-training facilitates learning by reducing cognitive load or imposes redundant information for learners with higher prior knowledge. …”

(A-H). Case 1: primary subcutaneous facial alveolar echinococcosis. by Louis Bohard (22250661)

Predicting Dinitrogen Activation and Coupling with Carbon Dioxide and Other Small Molecules by Methyleneborane: A Combined DFT and Machine Learning Study by Feiying You (22119041)

“…Machine learning analysis suggests that increasing the HOMO–LUMO gap or the charge on the boron atom or decreasing the charge of the nitrogen atom will reduce the reaction energies. …”

In-depth understanding of how the model works. by Antoine Grigis (6659024)

Table 1_Neural correlates of subjective cognitive decline in Alzheimer’s disease: a systematic review of structural and functional brain changes for early diagnosis and interventio... by Giulia Marafioti (21163931)

“…Dynamic functional connectivity studies report reduced brain activity efficiency, while graph theory analyses show decreased network integration. …”

Supplementary file 1_Predicting HIV self-testing intentions among Chinese college students: a dual-model analysis integrating health belief constructs and machine learning prioriti... by Yan Jiang (12139)

“…While observational studies have identified multifactorial influences on HIVST willingness, few investigations integrate behavioral theory with machine learning approaches among college students. …”

Robustness of the computational results. by Farhad Razi (22076077)

In Situ Fluorescence Imaging of Oxygen Evolution on Epitaxial Perovskite Films with Composition Gradients by Daniel J. Zheng (16447930)

“…Using kinetic measurements of the fluorescence evolution as a function of the O₂ evolved, apparent OER rates for the entire composition space were extracted, which revealed that <i>x</i> = 0.20 ± 0.05 appears to be the most active within the chemical space. Density functional theory calculations revealed a decrease in the computed OER overpotential on both Co and Fe sites of La_0.5Sr_0.5Fe_<i>x</i>Co_1–<i>x</i>O₃ (001) with increasing Co doping, where <i>x</i> = 0.25 was found to be the most active, hence validating the observed trend and demonstrating the validity of the setup for screening the entire composition space simultaneously.…”