Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning
Advanced Science, EarlyView.ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen +6 more
wiley +1 more source
ComputationCollege dropout represents a significant challenge for universities, and despite advances in machine learning technologies, predicting dropout remains a complex task.
Mauricio Quimiz-Moreira +4 more
doaj +1 more source
A survival analysis based volatility and sparsity modeling network for student dropout prediction. [PDF]
PLoS One, 2022 Pan F +8 more
europepmc +1 more source
Advanced Science, EarlyView.STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu +5 more
wiley +1 more source
The relevance of basic psychological needs and subject interest as explanatory variables for student dropout in higher education - a German case study using the example of a cooperative education program. [PDF]
Eur J Psychol Educ, 2023 Wild S, Rahn S, Meyer T.
europepmc +1 more source
Advanced Science, EarlyView.We investigate the geometry‐governed optoelectronic anisotropy arising from dielectric confinement in quasi‐1D γ‐GaS nanoribbons with intrinsically isotropic atomic structures. Dielectric mismatch between the nanoribbon and its surroundings leads to a general polarization‐dependent photoresponse during near‐field scattering.
Jiawei Jing +16 more
wiley +1 more source
The Effect of Grade Retention on High School Completion [PDF]
Low-achieving students in many school districts are retained in a grade in order to allow them to gain the academic or social skills that teachers believe are necessary to succeed academically. This practice is highly controversial, with many researchers
Brian Jacob, Lars Lefgren
core
Socioeconomic factors and university student dropout
The investigation adopted a mixed approach (qualitative and quantitative) in order to analyze the different factors of dropout. Based on the analysis of the socioeconomic factors that constitute an element that affects student dropout at the Eloy Alfaro ...
Zamora-Vélez, Glicerio Alberto +1 more
core +1 more source
Exploring the relationship between mental health-related problems and undergraduate student dropout: A case study within a civil engineering program. [PDF]
Heliyon, 2022 Del Savio AA, Galantini K, Pachas A.
europepmc +1 more source
Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction
Advanced Science, EarlyView.We present TopDr, a topology‐aware deep learning framework that encodes both drugs and cell lines as multiscale simplicial complexes, capturing interactions at the 0‐, 1‐, and 2‐simplex levels. By jointly integrating local higher‐order neighborhoods and global topological structures, TopDr generates enriched representations for sensitivity prediction ...
Cong Shen +3 more
wiley +1 more source