Results 101 to 110 of about 13,307 (234)

Unsupervised hyperlink prediction based on hypergraph random walk

Complex & Intelligent Systems
Conventional link prediction methods mainly aim to estimate pairwise relationships between nodes in graph structures, typically addressing single-type interactions.
Yanlin Yang, Mingyuan Li, Lei Meng, Yuzhi Xiao, Zhonglin Ye, Haixing Zhao   +5 more
doaj   +1 more source

Deploying a JupyterHub Server for Academic Research Using Netbooks as an Example

Current Protocols, Volume 6, Issue 6, June 2026.
Abstract Jupyter Notebooks have transformed the way we conduct computational research thanks to a versatile platform that combines code, annotations, plots, and a lightweight format that enables versioning. However, steps for installing dependencies and downloading data for a specific notebook may require significant time and failure to establish ...
Marouen Ben Guebila, Enakshi Saha, Mia Shapoval, Chen Chen, Soel Micheletti, Tara D. Eicher, Viola Fanfani, Jonas Fischer, Katherine H. Shutta, Panagiotis Mandros, Marieke L. Kuijjer, Camila M. Lopes‐Ramos, John Quackenbush   +12 more
wiley   +1 more source

Developing interactive animations as a learning tool for work integrated learning

The Curriculum Journal, Volume 37, Issue 2, Page 193-211, June 2026.
Abstract The role of field education for social work students is fundamental to linking students' theory to practice. Field education refers to the practical component of educational programmes where students gain hands‐on experience in their field of study.
Amanda Gigliotti, Jacqui Cameron, Cathy Duncan, Lynn Sheridan, Charlotte Smedley   +4 more
wiley   +1 more source

Refreshing Self-Reliance

NANO, 2016
“Refreshing Self-Reliance” is a random quote generator, populated with pithy aphorisms from Ralph Waldo Emerson’s 1841 essay “Self-Reliance.” When you hit the ↻ or “Refresh” button in your browser, a new statement from Emerson’s essay appears. Underneath
Sam Hamilton
doaj  

Enhancing Diaspora Scientist Identification Through SMOTE‐Driven Machine Learning and Transformer‐Based Hybrid Models on Multi‐Institution Dataset

Engineering Reports, Volume 8, Issue 6, June 2026.
Flowchart of the proposed process. ABSTRACT This paper explores machine learning‐based discovery of Indian‐origin scientists working overseas with a fused multi‐institution dataset of 4280 records retrieved in seven research institutions: Ames Laboratory, AMNH, Broad Institute, DRI, NIDDK‐NIH, Salk Institute, and Van Andel Institute.
Shivani Gautam, Karan Bajaj, Shaily Jain, Durgesh Nandan, Chander Prabha, Arfat Ahmad Khan, Md. Siddikur Rahman   +6 more
wiley   +1 more source

Enhancing Pre‐Service Teachers' Understanding of Quadrilaterals Through Wiki‐Supported Collaborative Learning

Journal of Computer Assisted Learning, Volume 42, Issue 3, June 2026.
ABSTRACT Background Pre‐service mathematics teachers frequently struggle with understanding the definitions and hierarchical classifications of quadrilaterals, often misidentifying inclusive relationships. These misconceptions hinder their ability to teach geometry effectively and reflect gaps in both content knowledge and pedagogical readiness.
Asuman Duatepe‐Paksu
wiley   +1 more source

Effect of Social Media Advertisements on Adolescents' Sugar‐Sweetened Beverage Choices: A Randomized Field Experiment

Obesity, Volume 34, Issue 6, Page 1322-1330, June 2026.
ABSTRACT Objective This study aimed to quantify the impact of adolescents' exposure to unhealthy food marketing in real‐world digital environments. Methods We conducted a single‐blinded randomized field experiment including 121 Australian adolescents aged 16–17.
Max Treu, Liliana Orellana, Bridget Kelly, Florentine Martino, Kathryn Backholer   +4 more
wiley   +1 more source

Correction: Toggle switch residues control allosteric transitions in bacterial adhesins by participating in a concerted repacking of the protein core. [PDF]

PLoS Pathog
Kisiela DI, Magala P, Interlandi G, Carlucci LA, Ramos A, Tchesnokova V, Basanta B, Yarov-Yarovoy V, Avagyan H, Hovhannisyan A, Thomas WE, Stenkamp RE, Klevit RE, Sokurenko EV.   +13 more
europepmc   +1 more source

Time‐Adaptive HénonNets for Separable Hamiltonian Systems

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT Measurement data is often sampled irregularly, i.e., not on equidistant time grids. This is also true for Hamiltonian systems. However, existing machine learning methods, which learn symplectic integrators, such as SympNets and HénonNets still require training data generated by fixed step sizes.
Konrad Janik, Peter Benner
wiley   +1 more source

Correction: Q-CaDD: accelerating in silico methodologies with quantum computation and machine learning for Epidermal growth factor receptor. [PDF]

Sci Rep
Badarala L.
europepmc   +1 more source