PAM graphs of the runs in Strategy 1. by Ural Akincioglu (21772538)

“…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

PLOS One data. by Ayşenur Eser (21713911)

“…<div><p>Automated detection of emotional states through brain-computer interfaces (BCIs) offers significant potential for enhancing user experiences and personalizing services across domains such as mental health, adaptive learning and interactive entertainment. …”

NanoDB: Research Activity Data Management System by Lorenci Gjurgjaj (19702207)

“…Cross-Platform Compatibility: Works on Windows, macOS, and Linux. In a Python environment or as an executable. Ease of Implementation: Using the flexibility of the Python framework all the data setup and algorithm can me modified and new functions can be easily added. …”

Code and Data for 'Fabrication and testing of lensed fiber optic probes for distance sensing using common path low coherence interferometry' by Radu Stancu (21165068)

“…Distance Sensing</p><p dir="ltr">Code and data to demonstrate extracting distance sensing data from A-scans and to generate Fig. 8 using the algorithm described in Fig. 7. Functions to generate distance measurements are in 'distance_sensing_utilities.py' and an example of how to use this on data in the 'data' folder is in 'distance_sensing_example.py', which generates Fig 8. …”

Table 1_Recognition and treatment of attention deficit-hyperactivity disorder in patients with treatment-resistant burning mouth syndrome: a retrospective case study.docx by Kaori Takahashi (187346)

“…However, the role of ADHD diagnosis and treatment on BMS and associated brain function abnormalities remains unexplored. …”

Data Sheet 1_Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks.pdf by Magdalena Fafrowicz (629724)

“…<p>Understanding brain function relies on identifying spatiotemporal patterns in brain activity. …”

Presentation 1_Nonlinear kernel-based fMRI activation detection.pdf by Chendi Han (22221919)

“…<p>Kernel Canonical Correlation Analysis (KCCA) is an effective method for globally detecting brain activation with reduced computational complexity. …”

Presentation 2_Nonlinear kernel-based fMRI activation detection.zip by Chendi Han (22221919)

“…<p>Kernel Canonical Correlation Analysis (KCCA) is an effective method for globally detecting brain activation with reduced computational complexity. …”

Mechanomics Code - JVT by Carlo Vittorio Cannistraci (5854046)

“…The functions were tested respectively in: MATLAB 2018a or youger, Python 3.9.4, R 4.0.3.…”

High-Dimensional Covariance Regression with Application to Co-Expression QTL Detection by Rakheon Kim (21656910)

“…In this article, we present a new sparse covariance regression framework that models the covariance matrix as a function of subject-level covariates. In the context of co-expression quantitative trait locus (QTL) studies, our method can be used to determine if and how gene co-expressions vary with genetic variations. …”

Seamless integration of legacy robotic systems into a self-driving laboratory via NIMO: a case study on liquid handler automation by Ryo Tamura (1957942)

“…We developed NIMO (formerly NIMS-OS, NIMS Orchestration System), an OS explicitly designed to integrate multiple artificial intelligence (AI) algorithms with diverse exploratory objectives. NIMO provides a framework for integrating AI into robotic experimental systems that are controlled by other OS platforms based on both Python and non-Python languages. …”

Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat. by Enrico Bertozzi (22461709)

“…The analysis was conducted in a Jupyter Notebook environment, using Python and libraries such as Scikit-learn and Pandas. …”

Parameter estimates of mixed generalized Gaussian distribution for modelling the increments of electroencephalogram data by Zoe Salinger (19090613)

“…<p>Electroencephalogram (EEG) is used to monitor child's brain during coma by recording data on electrical neural activity of the brain. …”

spine_quantification_all_images.xlsx by Ana M Jiménez-García (20396996)

“…It includes a number of neuropsychiatric disturbances including impaired motor activity and coordination, intellectual and cognitive function.</p><p dir="ltr">Results: In the present study, we used a rat early-stage HE model by triple portal vein ligation for 50 days To gain a better understanding of the effect of HE on the brain, artificial intelligence algorithms based on convolutional neuronal networks were implemented for the unbiased quantification of the brain images which were stained by Golgi-Cox immunohistochemistry. …”

Table1_Enhanced classification and severity prediction of major depressive disorder using acoustic features and machine learning.pdf by Lijuan Liang (4277053)

“…We used the Covarep open-source algorithm to extract a total of 1200 high-level statistical functions for each sample. …”

Table 1_Decoding ferroptosis in ischemic stroke: key genes and the therapeutic potential of acupuncture.docx by Chunxiao Wu (48606)

“…Hub genes were identified using the random forest algorithm, and their RNA expression levels were validated via RT-qPCR in sham-operated, MCAO model, and acupuncture groups.…”

Data Sheet 1_No reliable gray matter alterations in idiopathic dystonia.docx by Zhen-Yu Wang (6672833)

“…Background<p>The structural brain abnormalities associated with idiopathic dystonia (ID) remain inadequately understood. …”

GameOfLife Prediction Dataset by David Towers (12857447)

“…Excluding 0, the lower numbers also get increasingly unlikely, though more likely than higher numbers, we wanted to prevent gaps and therefore limited to 25 contiguous classes</p><p dir="ltr">NumPy (.npy) files can be opened through the NumPy Python library, using the `numpy.load()` function by inputting the path to the file into the function as a parameter. …”

Data Sheet 3_Identification of novel gut microbiota-related biomarkers in cerebral hemorrhagic stroke.zip by Fengli Ye (22123540)

“…In vivo, FMT reduced hematoma volume and brain edema, improved neurological function, restored intestinal barrier proteins, decreased inflammatory cytokines, and downregulated hub gene expression.…”

Data Sheet 1_Identification of novel gut microbiota-related biomarkers in cerebral hemorrhagic stroke.zip by Fengli Ye (22123540)

“…In vivo, FMT reduced hematoma volume and brain edema, improved neurological function, restored intestinal barrier proteins, decreased inflammatory cytokines, and downregulated hub gene expression.…”