Results 81 to 90 of about 141,633 (261)

University Dropout Model for Developing Countries: A Colombian Context Approach. [PDF]

Behav Sci (Basel), 2023
Valencia-Arias A, Chalela S, Cadavid-Orrego M, Gallegos A, Benjumea-Arias M, Rodríguez-Salazar DY.   +5 more
europepmc   +1 more source

NanoLoop: A Deep Learning Framework Leveraging Nanopore Sequencing for Chromatin Loop Prediction

Advanced Science, EarlyView.
Chromatin loops are central to gene regulation and 3D genome organization. Leveraging Nanopore sequencing's ability to jointly capture DNA sequence and methylation, we present NanoLoop, the first framework for genome‐wide chromatin loop prediction using Nanopore data.
Wenjie Huang, Li Tang, Matthew C. Hill, Yonghao Zhang, Jun Xie, Min Li   +5 more
wiley   +1 more source

Identification and comparison of the main variables affecting early university dropout rates according to knowledge area and institution. [PDF]

Heliyon, 2023
Llauró A, Fonseca D, Romero S, Aláez M, Lucas JT, Felipe MM.   +5 more
europepmc   +1 more source

Data‐Driven Feedback Identifies Focused Ultrasound Exposure Regimens for Improved Nanotheranostic Targeting of the Brain

Advanced Science, EarlyView.
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, Victor Menezes, Shiqin Zeng, Chulyong Kim, Cynthia M. Baseman, Jae Hyun Kim, Samhita Padmanabhan, Pranav Premdas, Naima Djeddar, Anton Bryksin, Nikhil Pandey, Pavlos Anastasiadis, Anthony J. Kim, Tobey J. MacDonald, Chetan Bettegowda, Graeme F. Woodworth, Felix J. Herrmann, Costas Arvanitis   +17 more
wiley   +1 more source

Measuring Dropout Intention in First Year University Students

Bulletin of the Transilvania University of Braşov: Series VII: Social Sciences, Law
University dropout has become an increasingly critical research topic, particularly in the wake of the COVID-19 pandemic, which has seen a global rise in dropout rates.
A.M. Cazan, C. Truta, M.M. Stan, C.I. Maican, R.E. Stoica   +4 more
doaj   +1 more source

Generating Dynamic Structures Through Physics‐Based Sampling of Predicted Inter‐Residue Geometries

Advanced Science, EarlyView.
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, Wenkai Wang, Zhenling Peng, Jianyi Yang   +3 more
wiley   +1 more source

Universally optimal crossover designs under subject dropout

The Annals of Statistics, 2013
Subject dropout is very common in practical applications of crossover designs. However, there is very limited design literature taking this into account. Optimality results have not yet been well established due to the complexity of the problem. This paper establishes feasible, as well as necessary and sufficient conditions for a crossover design to be
openaire   +4 more sources

3D‐Printed Ion‐Conductive Hydrogels with Tunable Mechanical–Electrical Properties for Multimodal Sign Language Recognition

Advanced Science, EarlyView.
This work successfully fabricated ion‐conductive hydrogels with low hysteresis and high conductivity using 3D printing technology. By adjusting the component ratios, the properties of the hydrogels can be tuned to meet diverse sensing requirements. Finally, a multimodal sensing sign language recognition system was constructed based on this hydrogel ...
Quan Hu, Longya Xiao, Peiqi Zhang, Qiurui Zhang, Guangsen Liu, Xinglin Qin, Zhuhui Yin, Xian Li, Yuling Wang, Hongjie Jiang   +9 more
wiley   +1 more source

Real‐Time and High‐Resolution NIR‐II‐L Imaging of Netrin‐1‐Mediated Neurovascular Coupling Driven by Dose‐Dependent Electroacupuncture

Advanced Science, EarlyView.
Disrupted neurovascular coupling contributes to ovarian dysfunction in polycystic ovary syndrome. Using near‑infrared II long‑wavelength imaging, this study visualizes how electroacupuncture dynamically regulates ovarian blood vessels in vivo. Immediate and cumulative stimulation elicit distinct vascular responses via a Netrin‐1 dependent mechanism ...
Yicong Wang, Zi‐Han Chen, Jiajia Li, Wei Hu, Ying Cao, Yu Wang, Xiaoyu Tong, Wenhan Lu, Yuze Yang, Yuehao Wang, Yan Xiao, Wenhao Gao, Yuning Chen, Yuyan Hou, Fan Zhang, Yi Feng   +15 more
wiley   +1 more source

Dropping out of higher education: Analysis of variables that characterise students who interrupt their studies

Acta Psychologica
One of the persistent problems faced by the university education system is the dropout rate. The main aim of this research was to identify the profile characteristics of those students who drop out of their studies, seeking in-depth knowledge of the ...
María Olga González-Morales, David López-Aguilar, Pedro Ricardo Álvarez-Pérez, Pedro Antonio Toledo-Delgado   +3 more
doaj   +1 more source