Results 221 to 230 of about 2,051,781 (356)

Dental Treatment Needs and Related Risk Factors among School Children with Special Needs in Taiwan. [PDF]

J Pers Med, 2021
Hsiao SY, Chen PH, Huang SS, Yen CW, Huang ST, Yin SY, Liu HY.   +6 more
europepmc   +1 more source

Diffusion‐MRI‐Based Estimation of Cortical Architecture via Machine Learning (DECAM) in Primate Brains

Advanced Science, EarlyView.
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu, Minhui Ouyang, Shufang Tan, Jianlin Guo, Ziqin Zhang, Xuan Liu, Risheng Liu, Hao Huang   +7 more
wiley   +1 more source

Virtual reality-based home accident control simulation combined with first aid training to enhance awareness in parents of children with special needs: protocol for a single-group pre-post quasi-experimental study. [PDF]

BMJ Open
Ertunc Gulcelik G, Ortabag T, Yilmaz S, Sever E, Eryigit T.   +4 more
europepmc   +1 more source

Quality of Life Among Caregivers of Children with Special Needs in Kelantan, Malaysia: The Importance of Psychosocial Mediators. [PDF]

Malays J Med Sci, 2021
Isa SNI, Ishak I, Ab Rahman A, Mohd Saat NZ, Che Din N, Lubis SH, Mohd Ismail MF, Mohd Suradi NR.   +7 more
europepmc   +1 more source

ASSESSMENT OF YOUNG CHILDREN WITH SPECIAL NEEDS [PDF]

, 1983
Bos, Candace S., Lund, Kathryn A., McCarthy, Jeanne M.   +2 more
core   +3 more sources

Ultrasound‐Boosted Liposomal Prodrug Overcomes Age‐Associated Biodistribution Disparity in Pediatric Solid Tumor Therapy

Advanced Science, EarlyView.
The age‐associated disparity of nanocarrier biodistribution limits the nanotherapeutics of childhood solid tumors. This study developed an ultrasound‐activated liposomal prodrug (CSCPTL) to overcome the age‐associated disparity of off‐target distribution.
Danfei Chen, Junjun Xu, Jian Chen, Jue Hu, Xiaobo Xuan, Haifang Cai, Mingdong Yang, Zhuxian Zhou, Guowei Wang   +8 more
wiley   +1 more source

Effectiveness of Non-Pharmacological Interventions in Reducing Dental Anxiety Among Children with Special Needs: A Scoping Review with Conceptual Map. [PDF]

Children (Basel)
Alkahtani ZM.
europepmc   +1 more source

Literature review: meeting the needs of children with special educational needs [PDF]

, 2002
Dockrell, Julie, Lunt, Ingrid, Peacey, Nick   +2 more
core   +2 more sources

MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts

Advanced Science, EarlyView.
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang, Yuli Zhang, Zixin Kang, Jiayun Xiong, Ronghua Yang, Kang Ning   +5 more
wiley   +1 more source

An ecological approach to caregiver burnout: interplay of self-stigma, family resilience, and caregiver needs among mothers of children with special needs. [PDF]

Front Psychol
Tang CS, Yu IC, Ng KH, Kwok HS.
europepmc   +1 more source