Results 141 to 150 of about 3,066,894 (297)

Students’ perspectives on their early dropout of medical school

Journal of Education and Health Promotion
BACKGROUND: Enrolling in medical school launches a more demanding and stressful way of life for newly admitted students. Some students will struggle academically and will ultimately drop out from medical school. The study aims to understand the perspectives that dropped-out students have and their opinion regarding possible ...
Ashraf F. Hefny, Alia Albawardi, Moien AB Khan, Mai A. Fathi, Nirmin A. Mansour   +4 more
openaire   +3 more sources

PrOMet: Accurate and Robust Metal‐Binding Site and Type Prediction

Advanced Science, EarlyView.
PrOMet is a two‐stage deep learning framework for jointly predicting metal‐binding sites and ion identities from protein structures. Surface candidate sites are first pruned, followed by refinement of the most probable sites and metal types. This hierarchical strategy enables robust and accurate metal prediction for cryo‐EM and AlphaFold‐derived ...
Gangeun Park, Chaok Seok, Hahnbeom Park
wiley   +1 more source

MEDICAL STUDENTS DROPOUT PREDICTORS

Medical Education and Professional Development, 2022
A.O. Mescheryakov, N.A. Bayanova, E.A. Kalinina, V.A. Denisov   +3 more
openaire   +1 more source

LLMs as Representation Generators for Gradient‐Free Scientific Optimization: A Case Study in Battery Fast Charging

Advanced Science, EarlyView.
Large language models serve as representation generators for gradient‐free scientific optimization. Two complementary approaches produce executable battery‐charging policies either directly or through LLM‐designed neural representations coupled to Bayesian optimization.
Ge Lei, Ferran Brosa Planella, Sterling G. Baird, Samuel J. Cooper   +3 more
wiley   +1 more source

Dropout in postgraduate programs: a underexplored phenomenon – a scoping review

Cogent Education
Postgraduate education has become increasingly crucial for nations in recent years, contributing to scientific, technological, and social progress. However, high dropout rates may undermine the benefits of postgraduate education.
Lira Isis Valencia Quecano, Alfredo Guzmán Rincón, Sandra Barragán Moreno   +2 more
doaj   +1 more source

Socioeconomic determinants of primary school dropout: The logistic model analysis [PDF]

This paper describes the socioeconomic determinants of primary school dropout in Uganda with the aid of a logistic model analysis using the 2004 National Service Delivery Survey data.
Isoke, Doreen, Nakajjo, Alex, Okumu, Ibrahim Mike   +2 more
core  

Transformer‐Based PET/CT Fusion Enables Preoperative Prediction and Prognostic Stratification of Spread Through Air Spaces in Lung Adenocarcinoma

Advanced Science, EarlyView.
An eight‐stream 2.5D Transformer integrates complementary PET metabolic and CT morphologic information to estimate spread‐through‐air‐spaces risk before surgery in lung adenocarcinoma. The model generalizes across independent centers, while its continuous risk score independently stratifies progression‐free survival, supporting further prospective ...
Xin‐Yu Zhu, Meng Meng, Zhen‐Zhen Wang, Deng‐Lu Lu, Ya‐Min Wei, Xu‐Chang Mi, Xing‐Yu Mu, Wei Fu   +7 more
wiley   +1 more source

Organisational characteristics and student dropout dynamics in technical and vocational higher education: a Forrester-based simulation study

Frontiers in Education
IntroductionStudent dropout in technical and vocational higher education (TVHE) is commonly explained through individual or socioeconomic variables, relegating the structural role of organisational characteristics to the background. This study models the
Sandra Patricia Barragán Moreno, Alfredo Guzmán Rincón, Pedro Sotomayor Soloaga   +2 more
doaj   +1 more source

Analysing Educational Waste in the Punjab Schools [PDF]

This paper examines educational waste in the Punjab Public Schools. The paper focuses upon three areas: schools’ internal efficiency, school capacity utilisation and student teacher ratio.
Muhammad Rafiq
core  

CausalCellInfer: Prioritizing Cell‐Type‐Specific Disease Associations From Genetically Predicted Transcriptomes in Biobank Cohorts

Advanced Science, EarlyView.
Bulk and genotype‐imputed transcriptomes obscure the cellular drivers of complex disease. CausalCellInfer resolves them by integrating invariant marker selection, deep learning deconvolution, and regularized matrix completion. Applied to ∼500 000 UK Biobank participants across 29 traits, it uncovers hallmark cell‐type proportion shifts, including ...
Liangying Yin, Yujia Shi, Ruoyu Zhang, Yong Xiang, Jinghong Qiu, Pak‐Chung Sham, Hon‐Cheong So   +6 more
wiley   +1 more source