Results 41 to 50 of about 101,811 (314)

Early Clinical, Imaging, and Pathological Characteristics of SRPK3/TTN‐Digenic Myopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective SRPK3/TTN‐digenic myopathy was recently established as a skeletal muscle myopathy caused by digenic inheritance. This study characterizes the early clinical presentation of SRPK3/TTN‐digenic myopathy in one previously reported and seven newly identified pediatric patients.
Rotem Orbach, Sandra Donkervoort, Carola Hedberg‐Oldfors, Giovanni Baranello, Dimah Saade, Precilla D'Souza, Ruchee Patel, Eva Michael, A. Reghan Foley, Diana Bharucha‐Goebel, S. Jin Haugland, Meghan McAnally, Omer Abdul Hamid, Katherine Chao, Ellen F. Macnamara, Alan H. Beggs, Anna Sarkozy, Juliane Mueller, Steven A. Moore, Richard S. Finkel, Cynthia J. Tifft, Francesco Muntoni, Anders Oldfors, Carsten G. Bönnemann   +23 more
wiley   +1 more source

Learn to Communicate and Communicate to Learn

Journal of Interactive Media in Education, 1998
Thinking of a computer as an educational tool emphasizes a solitary interaction between the learner and the computer. A tool is something that is applied to an object in order to change it, and this usually implies a single user working on a single ...
Alexander Repenning, Andri Ioannidou, James Ambach   +2 more
doaj   +1 more source

Building a Framework for Sexual and Reproductive Health Care in the Rheumatology Context: Content and Approaches

Arthritis Care &Research, EarlyView.
People with systemic autoimmune and rheumatic diseases (SARDs) are at higher risk than the general population of experiencing adverse pregnancy and perinatal outcomes such as preeclampsia, intrauterine growth restriction, and maternal and/or fetal death.
Mehret Birru Talabi, Sonya Borrero
wiley   +1 more source

The MIND model a microlearning AI-integrated instructional design for enhanced learning outcomes

Scientific Reports
In recent years, microlearning has gained significant attention due to technological advancements such as generative AI (GenAI), diverse learner needs, and a growing emphasis on improving learning outcomes.
Wali Khan Monib, Atika Qazi, Rosyzie Anna Apong, Jose Hernandez Santos, Malissa Maria Mahmud   +4 more
doaj   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Real world challenges in integrating electronic medical record and administrative health data for regional quality improvement in diabetes: a retrospective cross-sectional analysis

BMC Health Services Research, 2023
Background Linked electronic medical records and administrative data have the potential to support a learning health system and data-driven quality improvement. However, data completeness and accuracy must first be assessed before their application.
Rukia Swaleh, Taylor McGuckin, Denise Campbell-Scherer, Brock Setchell, Peter Senior, Roseanne O. Yeung   +5 more
doaj   +1 more source

Active citizenship and late-life learning in the community [PDF]

, 2013
In an age where the official, adult-education component of lifelong learning is dominated by the discourse of employability and performativity, reclaiming the radical agenda of critical, adult, active citizenship is not only urgent but indispensable for ...
Borg, Carmel, Formosa, Marvin
core  

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

Lifelong Metric Learning [PDF]

IEEE Transactions on Cybernetics, 2019
The state-of-the-art online learning approaches are only capable of learning the metric for predefined tasks. In this paper, we consider a lifelong learning problem to mimic "human learning," i.e., endowing a new capability to the learned metric for a new task from new online samples and incorporating the previous experiences.
Gan Sun, Yang Cong, Ji Liu 0002, Lianqing Liu, Xiaowei Xu 0001, Haibin Yu   +5 more
openaire   +2 more sources

Mesenchymal Stromal Cell‐Mediated Intercellular Communication: Mapping the Interactome for Skeletal Muscle Homeostasis and Regeneration

Advanced Science, EarlyView.
Liu et al. define a systems‐level interactome of fibroadipogenic progenitor (FAP)‐mediated signaling in skeletal muscle by integrating single‐cell transcriptomics with FAP depletion‐based perturbation analysis. Functional interrogation using a conditioned media bioassay links predicted signaling to multicellular outcomes, establishing a framework to ...
Xingyu Liu, Edgar E. Perez Carbajal, Yih‐Chii Hwang, Sahil A. Mapkar, Benjamin W. Gilman, Sarah A. Bliss, Lam B. Tran, Kalgi T. Mehta, Jacob O. Banyasz, Ming Yu, Reynold R. Liu, Matthew N. Ly, Christapher S. Morrissey, Michael N. Wosczyna   +13 more
wiley   +1 more source