Results 61 to 70 of about 85,565 (217)

Evaluating GenAI‐produced feedback on undergraduate bioscience essays against good higher education feedback practice

open access: yesFEBS Open Bio, EarlyView.
This pilot study investigates the potential of Generative AI to provide formative feedback to students. ChatGPT was prompted to provide feedback on Year 1 Bioscience essays, which were evaluated against established good feedback practices. GenAI‐authored feedback had useful elements, but was limited in scope. GenAI may have potential to provide instant,
Annabel Court   +3 more
wiley   +1 more source

Using fluorescence fluctuation spectroscopy to quantify molecular dynamics within cells

open access: yesFEBS Open Bio, EarlyView.
Microscopy techniques like fluorescence correlation spectroscopy (FCS) and number and brightness analysis (N&B) allow to quantify concentrations, diffusion rates, and oligomerization of fluorescently labeled molecules in the living cell. In this protocol the principles of how to set up these types of experiments are described including calibration ...
Mark A. Hink
wiley   +1 more source

Hybrid Aluminum Composite Materials Based on Carbon Nanostructures

open access: yesMedžiagotyra, 2015
We investigated formation of carbon nanofibers grown by chemical deposition (CVD) method using an acetylene-hydrogen mixture on the surface of micron-sized aluminum powder particles.
Tatiana S. Koltsova   +4 more
doaj   +1 more source

Fluorination: A strategy to tune the interactions of molecules and nanoscale systems with biological matter

open access: yesFEBS Open Bio, EarlyView.
This minireview explores fluorination as a key strategy to optimize therapeutic molecules and nanocarriers. By incorporating different fluorinated motifs—from single atoms to linear and branched chains—drug delivery, cellular uptake, and colloidal stability can be improved and fine‐tuned.
Martina Beccalli   +2 more
wiley   +1 more source

Fatigue life of hybrid metal composite materials: A review

open access: yesمجلة النهرين للعلوم الهندسية
Hybrid metal composite materials, combining diverse metal components, have emerged as promising alternatives in engineering applications, offering a unique synergy of mechanical properties. This review comprehensively examines the fatigue life of hybrid
Yaseen Rashid   +2 more
doaj   +1 more source

Tensile strength properties of hybrid magnetic composite materials

open access: yesZaštita Materijala, 2017
The Nd-Fe-B-barium ferrite hybrid composite materials with epoxy matrix presented in this paper cover maximum energy product from 1 to 13 MGOe. Mixture of magnetic particles is responsible for high magnetic quality, while the thermosetting resin plays a ...
Trošić Jasna Stajić   +2 more
doaj   +1 more source

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

open access: yesNew Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

Synergistic Influence of FRET on a High Quantum Yield π- Conjugate Polycarbazole-ZnS Composite Thin Film

open access: yesACS Omega, 2023
Debashish Nayak   +3 more
doaj   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio   +8 more
wiley   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif   +17 more
wiley   +1 more source

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