Results 91 to 100 of about 96,811 (275)
S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu +6 more
wiley +1 more source
It is estimated that one in three students drop out of university by the end of the first year of study. Dropping out of university has significant consequences, not only for the student but also for the university and for society as a whole.
Chiara Buizza +6 more
doaj +1 more source
Emotional intelligence and dropout intention: the mediating influence of expectancy and task value
Timely degree completion is a topic of interest for numerous stakeholders, including university officials, students, and parents. Unfortunately, a significant number of students encounter challenges within university settings that postpone degree ...
Christopher L. Thomas +2 more
doaj +1 more source
Dropout is a critical concern in higher education, with a considerable number of students leaving within the first two years of university. Dropout affects students’ well-being and their academic and career prospects, and institutions’ retention and ...
Chiara Buizza +5 more
doaj +1 more source
A Wireless, Battery‐Free Artificial Throat Patch with Deep Learning for Emotional Speech Recognition
In this work, Xu and co‐workers develop a wireless, battery‐free artificial throat patch system (ATPS) consisting of a carbon nanotube‐based thin‐film strain sensor and a miniaturized flexible printed circuit board, to enable real‐time sensing of throat signals.
Bingxin Xu +10 more
wiley +1 more source
BackgroundThe Internet has the potential to provide large populations with individual health promotion advice at a relatively low cost. Despite the high rates of Internet access, actual reach by Web-based interventions is often disappointingly low, and ...
Peels, Denise Astrid +6 more
doaj +1 more source
Donor‐derived tdTomato+ mature hepatocytes were FACS‐isolated and transplanted into Fah−/− host mice. During regeneration, these cells convert into proliferative, unipotent Afp+ rHeps. Their plasticity is governed by a PPARγ/AFP‐dependent metabolic switch, segregating into pro‐proliferative Afplow and pro‐survival Afphigh subpopulations.
Ting Fang +12 more
wiley +1 more source
Why they Contemplate Leaving: Exploring the Factors that Drive the High Dropout Intention Rate among University Teacher Trainees in Post-COVID Uganda and South Africa [PDF]
In the post-COVID-19 period, it is evident that various studies have been conducted on the effects of the pandemic on economies, politics, education, and teachers, to mention but a few, but there are very few studies on how the pandemic has influenced ...
Loyce Kiiza Kobusingye +2 more
doaj +1 more source
Machine learning models predict in real time the onset of harmful microbubble collapse during microbubble‐enhanced focused ultrasound (MB‐FUS) and enable dynamic adjustment of sonication to prevent cavitation‐induced damage. This predictive control expands the safe operating window for bloodbrain barrier opening, enhancing nanoparticle delivery and ...
Hohyun Lee +17 more
wiley +1 more source
Generating Dynamic Structures Through Physics‐Based Sampling of Predicted Inter‐Residue Geometries
While static structure prediction has been revolutionized, modeling protein dynamics remains elusive. trRosettaX2‐Dynamics is presented to address this challenge. This framework leverages a Transformer‐based network to predict inter‐residue geometric constraints, guiding conformation generation via physics‐based iterative sampling. The resulting method
Chenxiao Xiang +3 more
wiley +1 more source

