Results 61 to 70 of about 21,003 (255)
This study aims to explain the concept of Cognitive Load Theory developed by John Sweller and its implications for Arabic language learning at the elementary education level.
Ahmad Syagif
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Testicular mRNA‐LNP Delivery: A Novel Therapy for Genetic Spermatogenic Disorders
In the current study, we developed a novel therapy for genetic spermatogenic disorders. It was revealed that in vivo delivery of mRNA LNP3 could restore spermatogenesis in Msh5D486Y/D486Y and Maps KO mouse models with meiotic arrest. Notably, the offspring without genomic integration was born using ICSI derived from the rescue of Msh5D486Y/D486Y mouse ...
Chenwang Zhang +22 more
wiley +1 more source
Automatic ability attribution after failure: a dual process view of achievement attribution. [PDF]
Causal attribution has been one of the most influential frameworks in the literature of achievement motivation, but previous studies considered achievement attribution as relatively deliberate and effortful processes.
Michiko Sakaki, Kou Murayama
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Ionic–Bionic Interfaces: Advancing Iontronic Strategies for Bioelectronic Sensing and Therapy
Ionic–bionic interfaces for bioelectronics leverage ions as multifunctional mediators that combine mechanical compliance, ionic and electronic functionalities, and therapeutic effects. These systems offer real‐time biosignal transduction, effective wound dressing, responsive drug delivery, and seamless interaction between soft tissues and electronic ...
Yun Goo Ro +6 more
wiley +1 more source
Impact of reducing intrinsic cognitive load on learning in a mathematical domain
AbstractThis paper examines the effectiveness of instructional strategies that lower cognitive load by reducing task complexity (intrinsic cognitive load). Three groups of 13‐year‐old students were required to learn a mathematical task under different conditions.
openaire +2 more sources
This study deals with an analysis of the cognitive load indicators produced in virtual simulation tasks through supervised and unsupervised machine learning techniques.
María Consuelo Sáiz-Manzanares +3 more
doaj +1 more source
A new cerebrocortical organoid model using isogenic hiPSCs with familial Alzheimer's mutations recapitulates key AD features, including amyloid‐beta and phospho‐Tau aggregation, neuronal hyperexcitability, and synapse loss. Single‐cell RNA‐seq reveals aberrant pathways in excitatory and inhibitory neurons.
Sergio R. Labra +23 more
wiley +1 more source
Aberrant Splicing Signatures Underpin Oligodendrocyte Damage in ALS and Neuron Loss in FTD
Integrating bulk and single‐nucleus RNA‐seq from ALS and FTD patients, we revealed distinct cellular dysfunctions, with severe oligodendrocyte damage in ALS and pronounced neuron loss in FTD. We identified cell‐type‐specific aberrant splicing events as potential biomarkers with robust classification performance, some of which produce de novo peptides ...
Chen Du +6 more
wiley +1 more source
Using subjective measures to detect variations of intrinsic cognitive load within problems
Abstract Cognitive load theorists have frequently used subjective measures of cognitive load to test the effectiveness of instructional procedures. This study sought to broaden the applications of subjective measures by testing their ability to detect variations in intrinsic cognitive load within tasks.
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General schematic of the approach. Abstract Conventional Silver/Silver Chloride (Ag/AgCl) electrodes remain the clinical standard for electrophysiological monitoring but are hindered by poor skin conformity, mechanical rigidity, and signal degradation, particularly under motion or sweat.
Nazmi Alsaafeen +11 more
wiley +1 more source

