Results 151 to 160 of about 3,789,435 (339)

A Generalizable Transformer Framework for Gene Regulatory Network Inference from Single‐Cell Transcriptomes

Advanced Intelligent Systems, EarlyView.
FTGRN introduces an LLM‐enhanced framework for gene regulatory network inference through a two‐stage workflow. It combines a Transformer‐based model, pretrained on GPT‐4 derived gene embeddings and regulatory knowledge, with a fine‐tuning stage utilizing single‐cell RNA‐seq data.
Guangzheng Weng, Hyobin Kim, Patrick Martin, Junil Kim, Tae‐Hyung Kim, Gi‐Hoon Nam, Dongha Kim, Kyoung Jae Won   +7 more
wiley   +1 more source

Analyzing dropout intentions in vocational education and training: exploring the nexus between different dimensions of dropout reasons and the different directions of dropout intention

Empirical Research in Vocational Education and Training
Extensive research has focused on various dimensions of dropout reasons, yet it often overlooks the importance of considering different dropout directions in the analysis. Our cross-sectional study examines the association of factors of six dimensions of
Anke Braunstein, Maximilian Krötz, Viola Deutscher, Jürgen Seifried   +3 more
doaj   +1 more source

School Dropouts: Who Are They and What Can Be Done? [PDF]

While Canada has made progress in the past two decades in terms of lowering high-school dropout rates, those rates remain unacceptably high for boys and certain groups limited by poverty or other factors.
John Richards
core  

Iterative Data Curation for Machine Learning‐Based Inverse Design of Active Composite Plates for Four‐Dimensional Printing

Advanced Intelligent Systems, EarlyView.
A machine learning framework is developed for the inverse design of 4D‐printed active composite plates. It utilizes a forward model to predict shapes from patterns and an inverse model to suggest initial patterns for desired shapes. This framework integrates a genetic algorithm to refine the predicted patterns, ensuring higher accuracy in achieving ...
Teerapong Poltue, Chao Zhang, Frédéric Demoly, Kun Zhou, H. Jerry Qi   +4 more
wiley   +1 more source

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source

Scoping Review on Interventions, Actions, and Policies Affecting Return to School and Preventing School Dropout in Primary School. [PDF]

Int J Prev Med, 2023
Eslamian A, Arshi M, Tahmasebi S, Alipour F, Rafiey H.   +4 more
europepmc   +1 more source

Bio‐to‐Robot Transfer of Fish Sensorimotor Dynamics via Interpretable Model

Advanced Intelligent Systems, EarlyView.
This study demonstrates how a biologically interpretable model trained on real‐fish muscle activity can accurately predict the motion of a robotic fish. By linking real‐fish sensorimotor dynamics with robotic fish, the work offers a transparent, data‐efficient framework for transferring biological intelligence to bioinspired robotic systems.
Waqar Hussain Afridi, Ahsan Tanveer, Rahdar Hussain Afridi, Muhammad Hamza, Mingxin Wu, Liang Li, Guangming Xie   +6 more
wiley   +1 more source

Theoretical Basis for a Group Intervention Aimed at Preventing High School Dropout: The Case of 'Guttas Campus'. [PDF]

Int J Environ Res Public Health, 2022
Ramsdal GH, Wynn R.
europepmc   +1 more source

Noncognitive skills, school achievements and educational dropout [PDF]

, 2009
We analyse the determinants of dropout from secondary and vocational education in Germany using data from the Socio-Economic Panel from 2000 to 2007.
Coneus, Katja, Gernandt, Johannes, Saam, Marianne   +2 more
core  

A community‐driven approach to address substance use and create a Great Plains American Indian addiction and recovery research agenda

American Journal of Community Psychology, EarlyView.
Abstract Substance use, specifically opioid and methamphetamine use, is of increasing concern among American Indian (AI) populations in the Great Plains. This community‐driven participatory study investigated the impacts of substance use and community‐defined needs in treating addiction.
Brynn Luger, Anna Kihlström, Brinda Sivaramakrishnan, Allison Kelliher, Frankie Kropp, Carmen Rosa, T. John Winhusen, Donald Warne, the CTN0129 participating Tribal communities   +8 more
wiley   +1 more source