Associations of Circadian Rhythms with Cognitive Performance in Patients with Amnestic Mild Cognitive Impairment (aMCI). [PDF]
Kim SJ, Lee JH, Jang JW, Choi M, Suh IB.
europepmc +1 more source
De Novo Autogenic Engineered Living Functional Materials
A versatile platform for de novo autogenic engineered living materials is presented, leveraging protein mining, computational modeling, and synthetic biology. By reprogramming the Escherichia coli curli machinery with β‐solenoid proteins from non‐model bacteria, macroscopic biomaterials with enhanced mechanical properties, UV‐C irradiation protection ...
Hoda M. Hammad +9 more
wiley +1 more source
Non-linear measures of movement variability in multiple sclerosis: a clinical narrative review of Lyapunov exponent and entropy applications in balance and gait. [PDF]
Banakheiri T +3 more
europepmc +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
The Interplay of Bottom-Up Arousal and Attentional Capture during Auditory Scene Analysis: Evidence from Ocular Dynamics. [PDF]
Huviyetli M, Chait M.
europepmc +1 more source
Inorganic compound‐modified separators transform lithium–sulfur batteries from passive polysulfide confinement to active reaction‐pathway regulation. A Practical Relevance Index (PRI)‐guided framework bridges interfacial chemistry of inorganic separators with practical constraints, establishing unified design principles for scalable, high‐energy ...
Yuting Qin +7 more
wiley +1 more source
Metabolic Saliency as KL-Divergence Estimator: Information-Geometric Attribution of Systemic Stress in JSE Equity Network. [PDF]
Moroke ND.
europepmc +1 more source
Wearable Sleep Measures May Improve Machine Learning Prediction of Home-Based Pulmonary Rehabilitation Engagement Among Patients With Chronic Obstructive Pulmonary Disease: A Proof-of-Concept Study. [PDF]
Zawada SJ +6 more
europepmc +1 more source
A refined maximum predictability for next location prediction with fusion knowledge. [PDF]
Huang L, He Z, Li X, Yu Z.
europepmc +1 more source

