Results 101 to 110 of about 29,948 (298)
Dropout: Demographic Profile of Brazilian University Students
AbstractThis study analyses dropout in higher education, a worldwide problem seen in the literature of developed and developing countries. The aim of the study is to explain dropout in Brazil's private higher education. Dropout is defined as the interruption of studies by students in higher education enrolled for any length of time, regardless of ...
Bonaldo, Luciane, Pereira, Luis
openaire +2 more sources
Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu +5 more
wiley +1 more source
TaMYB7‐A1 directly activates TaABI5 to enhance ABA signaling and regulate ABA‐GA homeostasis, enforcing seed dormancy. Its superior allele, derived from wild einkorn introgression, harbors a MITE insertion that elevates expression and two amino acid substitutions that enhance transcriptional activity, collectively generating graded PHS resistance for ...
Hao Wang +18 more
wiley +1 more source
IntroductionUniversity dropout remains a persistent challenge in higher education, reflecting structural tensions between inclusivity, student retention, and educational equity.
Alejandro Valencia-Arias +5 more
doaj +1 more source
Magnetomechanical neuromodulation using magnetic nanodiscs enables remote activation of neurons. In a hemiparkinsonian mouse model, alternating magnetic fields actuate the nanodiscs to generate torque that opens mechanosensitive ion channels within the subthalamic nucleus, thereby modulating basal ganglia motor circuitry.
Anouk Wolters +12 more
wiley +1 more source
Delving Deeper into MOOC Student Dropout Prediction
In order to obtain reliable accuracy estimates for automatic MOOC dropout predictors, it is important to train and test them in a manner consistent with how they will be used in practice. Yet most prior research on MOOC dropout prediction has measured test accuracy on the same course used for training the classifier, which can lead to overly optimistic
Jacob Whitehill +4 more
openaire +2 more sources
The Landscape and Regulation of Histone Crotonylation in Mammalian Gametes and Early Embryos
Histone crotonylation undergoes a genome‐wide transition from broad domains to canonical narrow peaks during minor zygotic genome activation (ZGA). This remodeling is required for proper major ZGA and blastocyst formation. Disruption of this transition by transcriptional inhibition, metabolic perturbation, or HDAC1 dysfunction impairs embryonic ...
Shenli Yuan +8 more
wiley +1 more source
hilmarh/student-dropout-prediction: Thesis publication
No description ...
Hilmar Hilmarsson
core +1 more source
Schrödinger’s student: when students both do and do not drop out
Student “drop out” is a key quality measure in European higher education, causing our understanding of dropout to depend heavily on statistics of what we choose to measure. Still, there is no shared operational definition of what dropout is.
Marius O. Johansen +2 more
doaj +1 more source
Still want to be a doctor? Medical student dropout in the era of COVID-19. [PDF]
Ye X +5 more
europepmc +1 more source

