№ files_lp_3_process_7_048118
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A set of supplementary materials that provide additional single trial data and analyses on neural state space trajectories in response to various visual stimuli, including cortical mapping of the center and peripheral fields of view.
Year:
2026
Region / City:
Not specified
Topic:
Neuroscience, Neural State Space, Visual Stimuli
Document Type:
Supplementary Materials
Institution:
Not specified
Author:
Not specified
Target Audience:
Researchers in neuroscience and related fields
Period of Effect:
Not specified
Date of Approval:
Not specified
Date of Changes:
Not specified
Price: 8 / 10 USD
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Document type:
Supplementary materials
Research field:
Cognitive neuroscience
Topic:
Contamination obsessive-compulsive disorder and disgust conditioning
Methods:
fMRI data acquisition and preprocessing; stimulus selection; whole-brain analysis
Imaging modality:
Functional magnetic resonance imaging (fMRI)
MRI scanner:
Siemens Prisma 3.0T
Software:
E-prime 2.0
Stimulus categories:
Death; animals; food; hygiene; body products; envelope violations
Data formats:
DICOM; NIFTI
Preprocessing steps:
Conversion; slice timing correction; head movement correction; spatial segmentation; spatial alignment; spatial smoothing
Statistical analysis:
Whole-brain analysis with FWE correction
Figures:
Fig. S1; Fig. S2; Fig. S3; Fig. S5
Tables:
Table S1; Supplementary Table S2
References cited:
Burns et al. (1996); Foa et al. (2002); Gan et al. (2024); Haberkamp et al. (2017); Olatunji et al. (2007; 2015); Sydeman (2018); Wang et al. (2024)
Year:
2023
Region / City:
USA & Canada
Theme:
Manipulation Studies, Nostalgia, Social Connectedness
Document Type:
Research Appendix
Organization / Institution:
Unspecified
Author:
Unspecified
Target Audience:
Researchers, Academics
Duration:
7 days
Approval Date:
Unspecified
Modification Date:
Unspecified
Note:
Year
Subject:
Cognitive Development, Knowledge Acquisition
Document Type:
Research Appendix
Target Audience:
Researchers, Psychologists
Year:
2020
Submission date:
Nov 10, 2020
First decision:
Jan 26, 2021
Authors:
Fucci E., Baquedano C., Abdoun O., Deroche J., Lutz A.
Editor:
John E. Edlund
Journal:
Collabra: Psychology
Document type:
Peer review correspondence
Subject area:
Psychology, social motivation, experimental design
Target audience:
Researchers in psychology and behavioral sciences
Study design:
Within-subjects experiments
Content:
Review of manuscript validation process, feedback from two reviewers, methodological considerations, and revision instructions
Year:
2018
Region / City:
Ljubljana, SI
Topic:
Neural Network Compression
Document Type:
Call for Evidence
Organization:
ISO/IEC JTC1/SC29/WG11
Author:
MPEG
Target Audience:
Researchers, Developers, Contributors in Multimedia and Data Analytics
Period of Validity:
July 2018 – October 2018
Approval Date:
July 2018
Date of Changes:
N/A
Year:
2019
Region / city:
Brussels
Topic:
Neuroscience, cognitive science
Document Type:
Proposal template
Organization:
Human Brain Project
Author:
Unknown
Target Audience:
Applicants, all interested
Period of Action:
2019
Approval Date:
24.10.2019
Amendment Date:
None
Course Number:
COMP-5011-FA
Course Name:
Machine Learning and Neural Networks
Instructor:
Dr. Saad Bin Ahmed
Office Location:
AT5020
Email:
[email protected]
Office Hours:
Wednesday 11:00am - 1:00pm
Teaching Assistant:
To be defined
Course Delivery:
Lectures, MyCourseLink/D2L
Room and Time:
RB3024, Tuesday and Thursday at 1:00PM - 2:30PM
Final Date to Withdraw (Drop):
Friday, November 3, 2023
Final Day of Classes:
Monday, December 4, 2023
Fall Study Week:
October 09–13, 2023
Prerequisites:
Probability, Discrete Mathematics, Python programming
Tools:
Python, OpenCV, numpy, pandas, matplotlib
Assessment Components:
2 assignments (5% each), Course Project (30%), Midterm Exam (20%), Final Exam (40%)
Passing Requirement:
Minimum 60% overall with at least 55% weighted average on exams and assignments
Academic Policy:
Lakehead University Student Code of Conduct – Academic Integrity
Assignment Policy:
Individual work; zero tolerance for plagiarism; similarity check required
Late Policy:
Penalty formula [2.5^i] up to 4 days; extensions granted by instructor only
Year:
2014
Region / City:
N/A
Topic:
Molecular biology, Tooth development, Neural crest
Document type:
Review article
Institution:
N/A
Author:
Jayasekharan VP, Jacob Kurien, Eapen Cherian, Renji K Paul, Aravind S Raju
Target audience:
Researchers, biologists, clinicians
Period of validity:
N/A
Approval date:
N/A
Date of changes:
N/A
Year:
2026
Region / City:
Shanghai, China
Topic:
Metasurfaces, Holography, Neural Networks
Document Type:
Research Paper
Organization / Institution:
Shanghai Jiao Tong University
Author:
Wei Wei, Ping Tang, Jingzhu Shao, Jiang Zhu, Xiangyu Zhao, Chongzhao Wu
Target Audience:
Researchers, Scientists
Period of Validity:
N/A
Date of Approval:
N/A
Date of Changes:
N/A
Document Type:
Supplementary Information
Related Study Title:
Organic neuromorphic spiking circuit for retina-inspired sensory coding and neurotransmitter-mediated neural pathways
Authors:
Giovanni Maria Matrone; Eveline R.W. van Doremaele; Sophie Griggs; Gang Ye; Iain McCulloch; Francesca Santoro; Yoeri van de Burgt
Institutions:
Eindhoven University of Technology; University of Oxford; Shenzhen University; King Abdullah University of Science and Technology (KAUST); Istituto Italiano di Tecnologia; RWTH Aachen; Forschungszentrum Juelich
Sections:
Supplementary Discussion 1: Spiking circuit; Supplementary Discussion 2: Sensory coding with pressure sensor
Materials:
P-3O OECT; PEDOT:PSS OECT; p(C4-T2-C0-EG) OECT
Components:
Capacitor; Resistor (330 kOhm); Inverter pairs; Force sensor (Grove-Round Force Sensor, FSR402)
Voltage Range Examined:
0.3–0.6 V
Frequency Range Observed:
0.14–0.35 Hz
Figures Included:
Supplementary Figures 1–11
Tables Included:
Table 1; Table 2
Experimental Focus:
Voltage-dependent spiking behavior and pressure-induced sensory coding
Year:
2024
Region / City:
Global
Topic:
Cybersecurity, Network Intrusion Detection
Document Type:
Research Article
Institution:
Not specified
Author:
Not specified
Target Audience:
Researchers, Cybersecurity Professionals
Period of Action:
Not specified
Approval Date:
Not specified
Modification Date:
Not specified
Year:
2016
Region / City:
Unknown
Topic:
Medical research, Pediatric Intensive Care Unit (PICU), mortality prediction
Document Type:
Research article
Organization / Institution:
Unspecified
Author:
M. Aczon, D. Ledbetter, E. Laksana, L. Ho, R. Wetzel
Target Audience:
Medical researchers, healthcare professionals
Period of Validity:
2016 onwards
Approval Date:
Unknown
Date of Changes:
Unknown
Year:
2026
Institution:
School of Pharmaceutical Sciences, Sun Yat-sen University, Shenzhen Campus
Authors:
Jing Li, Hong Gao, Yue Xiong, Ling Wang, Haojie Zhang, Fumei He, Jingxin Zhao, Shuna Liu, Liqian Gao, Ying Guo, Wenbin Deng
Correspondence:
Ying Guo, Wenbin Deng
Document type:
Supplementary information
Subject area:
Regenerative medicine, wound healing, neural stem cells, exosomes
Data content:
Proteomic analysis of NSC-derived exosomes, immunofluorescence quantification of Gap43 in skin sections
Target organism:
Homo sapiens
Methodology:
Protein identification and quantification, immunofluorescence microscopy
Figures and tables:
Table S1 (top 100 abundant proteins in NSC-exo), Figure S1 (quantitative analysis of Gap43)
Keywords:
Cutaneous wound healing, NSC-exosomes, proteomics, Gap43
Year:
2026
Region:
Korean Peninsula
Subject:
Oceanography, Marine Forecasting
Document type:
Research article
Institution:
Inha University, University of Rhode Island, Korea Hydrographic and Oceanographic Agency
Authors:
Jae-Hun Park, Ho-Jeong Ju, Jeong-Yeob Chae, Young Taeg Kim, Min-su Kim
Target audience:
Oceanographers, Marine researchers, Data scientists
Methodology:
Artificial neural networks, 3-D convolutional neural networks, 3-D U-Net structure
Data sources:
Oceanic and atmospheric variables
Purpose:
Sea surface current prediction, Near-real-time ocean forecasting
Validation:
Various input configurations tested for model optimization
Year:
2023
Region / City:
Aurangabad District, Maharashtra
Subject:
Potential Evapotranspiration Forecasting
Document Type:
Research Article
Author:
Not specified
Target Audience:
Researchers, Hydrologists, Water Resource Managers
Period of Study:
1970–2023
Date of Approval:
Not specified
Date of Modifications:
Not specified
Keywords:
PET Forecasting, ANN, Thornthwaite Method, Water Resource Management
Year:
2026
Institution:
George Washington University, Singapore University of Technology and Design, ICFO - Institut de Ciencies Fotoniques, Aarhus University
Field:
Photonics, Optical Neural Networks, Phase-Change Materials
Document Type:
Supplementary Material
Authors:
Ting Yu Teo, Xiaoxuan Ma, Ernest Pastor, Hao Wang, Jonathan K. George, Joel K. W. Yang, Simon Wall, Mario Miscuglio, Robert E. Simpson, Volker J. Sorger
Corresponding Authors:
[email protected], [email protected], [email protected]
Techniques:
Reflectivity measurements, Pump-probe femtosecond switching, Maxwell simulations, Finite element modeling
Materials:
Ge2Sb2Te5, Sb2S3, AlN, Si, SiN, Diamond
Parameters Measured:
Phase transition temperature, neff, α, Q factor, Extinction Ratio, Heat capacity, Density
Period Covered:
Experiment and simulation data relevant to phase-change optical devices
Laser Fluence Range:
0–11.4 mJ/cm²
Author:
Wenyu Wan
Field:
Neuroscience
Research Topic:
Neural processing of temporal patterns in real-world behavior
Behavioral Context:
Smartphone interaction
Methodological Approach:
Combination of smartphone behavioral data and EEG recordings
Key Neural Phenomena:
Somatosensory temporal integration; cortex-wide neural alignment; beta bursts
Analytical Methods:
Dimensionality reduction of neural-behavioral data
Type of Document:
Research propositions
Data Context:
Naturalistic human behavior
Subject:
Temporal dynamics of behavior and neural activity
Research Perspective:
Naturalistic neuroscience
Year:
2021
Region / City:
Global
Topic:
Tomato disease classification, artificial intelligence, deep learning, convolutional neural networks
Document Type:
Research article
Author:
Unspecified
Target Audience:
Researchers, practitioners in machine learning and agriculture
Period of Validity:
Not specified
Approval Date:
Not specified
Modification Date:
Not specified
Year:
Not specified
Region / Country:
Not specified
Academic Field:
Biomedical Engineering
Research Area:
Stem Cell Bioprocess Engineering
Keywords:
Suspension Bioreactor, Neural Stem Cells, Shear Stress, Differentiation, Mesenchymal Stem Cells
Document Type:
Academic Project Final Report
Course:
BEE 4530 Computer-Aided Engineering: Applications to Biomedical Processes
Authors:
Dustin Steinhagen; Gabrielle Ravelo; Sophia He
Institution:
Not specified
Software Used:
COMSOL Multiphysics
Main Methods:
Fluid flow modeling using Navier–Stokes equations and Darcy flow; sensitivity analysis
Biological Focus:
Mesenchymal stem cells and neural stem cell differentiation
Application Context:
Bioreactor design for therapeutic-scale stem cell production
Sections Included:
Executive Summary; Introduction; Literature Review; Problem Formulation; Governing Equations; Numerical Implementation; Results; Validation; Discussion; Appendix
Target Audience:
Students and researchers in biomedical and bioprocess engineering
Topic:
Multiple Document Interface (MDI)
Programming language:
Visual Basic
Software version:
Visual Basic 6
Platform:
Microsoft Windows
Document type:
Tutorial article
Interface model:
MDI
Intended audience:
Beginners
Application structure:
Parent and child forms
Menu behavior:
Dynamic menu replacement